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Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewSome of the world's largest companies and their law firms use Harvey's AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Our customers depend on us to deliver a secure, trustworthy, and compliant platform and earning that trust is a business enabler we value above all else. In this role, you'll report to the Head of Trust and serve as the engineering backbone of Harvey's compliance and assurance programs. You'll build and own the data infrastructure, automation tooling, and AI-powered workflows that allow our Trust team to scale audit readiness, continuous monitoring, and risk reporting without scaling headcount. This means selecting best-in-class compliance automation platforms, building our own compliance data layer, and developing AI-powered workflows to automate evidence collection, control testing, and assurance reporting.What You'll DoOwn the implementation and optimization of Harvey's compliance automation tooling to automate workflows across compliance programsDesign and build a compliance data layer in Snowflake — ingesting signals from infrastructure, security tools, and SaaS platforms to create a real-time view of control health and audit readinessDevelop AI agents and automated pipelines for evidence collection, control testing, and continuous monitoring at scalePartner with Engineering and Security to map technical implementations to compliance controls and maintain a living, accurate control inventoryBuild reporting layers that translate compliance signals into clear narratives on risk posture and certification status for executive and cross-functional audiencesWhat You Have6+ years in software, data, or security engineering with exposure to compliance automation or trust and assurance programsHands-on experience building data pipelines on Snowflake, BigQuery, or comparable platforms; strong SQL and PythonExperience implementing or administering compliance automation platformsWorking knowledge of at least one compliance framework — enough to understand control requirements and map them to technical implementationsExperience building AI-powered workflows or agents using LLMsNice to HaveExperience at a high-growth SaaS company building or scaling a Trust or compliance engineering function from the ground upFamiliarity with cloud infrastructure (AWS, GCP, Azure) and how infrastructure-as-code tools connect to compliance evidencePrior involvement in government compliance programsCompensation$220,000 - $330,000 USDDepending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-KV1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Software Engineer to help build the machine learning infrastructure that powers OpenAI’s monetization and ads systems. In this foundational role, you’ll design and develop the platform layer that enables teams to build, train, deploy, serve, monitor, and continuously improve machine learning models used across advertising and monetization products.You’ll work across the full ML lifecycle, from large-scale data pipelines and feature infrastructure to training systems, model serving, experimentation platforms, and monitoring frameworks. The systems you build will support high-throughput, low-latency advertising workloads while maintaining strict standards for reliability, privacy, security, and performance.This role sits at the intersection of machine learning systems, distributed infrastructure, and monetization, offering the opportunity to shape the core platforms that help translate model innovation into measurable business impact.In this role, you will:Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train and improve machine learning models.Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.Develop systems that safely and reliably move models from experimentation into production environments.Build and improve real-time inference and serving infrastructure with strict requirements for latency, throughput, reliability, and availability.Design experimentation frameworks that enable A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale.Improve platform performance through optimization of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness.Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization teams to accelerate the development and deployment of advertising systems. You might thrive in this role if you:Have 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure.Have experience building platforms that support machine learning workflows, including data processing, feature engineering, model training, deployment, or serving.Have worked with high-volume data pipelines and infrastructure handling large-scale online systems.Have experience designing reliable, low-latency systems with strong operational and observability practices.Are comfortable working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring.Have experience improving infrastructure performance, scalability, efficiency, and reliability in production environments.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Why Clarium?The healthcare industry overspends on its supply chain by over $25B each year, the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform, Astra OS, gives hospitals end-to-end visibility into their supply chain operations, automating workflows and surfacing actionable insights so supply chain teams can focus on what matters most: patient care. We're trusted by some of the world's leading health systems, including Yale New Haven Health, Stanford, Geisinger, Cleveland Clinic, and Kaiser Permanente.Founded in 2020, Clarium has raised $43M in total funding. Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser Permanente Ventures, Texas Medical Center Ventures, and 1984 Ventures.The OpportunityAI-powered platforms, like Clarium’s, deliver the highest impact when they are supported by high-quality data. As we scale to more health systems and deepen our offering of intelligent, data-driven workflows, the master data enrichment pipeline (the system that classifies and contextualizes every product flowing through a hospital's supply chain) has become a critical growth lever. We're investing in the team and infrastructure to make that layer faster, smarter, and more reliable.You'll join the Data Products team, a small, unusually senior group responsible for the data assets, data science, and analytics that drive measurable value for our clients. Day-to-day, you'll build and own components of our enrichment pipeline: classification workflows, entity resolution systems, evaluation harnesses, and the production tooling that keeps it all running. You'll work closely with engineers and data scientists who've shipped real ML systems at scale, and your work will feed directly into decisions made by supply chain teams at some of the country's leading health systems.A rare early-career opportunity to learn fast and own real work from day one. As the first junior hire on the team, you won't be buried under layers of abstraction. You'll work directly alongside people who've done this before, on problems that actually matter. Short feedback loops, real stakes, and the kind of hands-on growth that's hard to find this early in a career. It's the opportunity many of us wish we'd had starting out.In This Role You WillBuild and maintain components of Clarium's master data enrichment pipeline, the system that classifies and enriches every product flowing through our platformDesign and own classification and entity resolution workflows that combine deterministic logic and LLMs for production data processingBuild and operate evaluation harnesses, label sets, and regression suites (we use Braintrust) to measure and improve pipeline quality with confidenceWrite production Python and SQL; the majority of your time will be spent in code, not in configuration toolsAnalyze complex datasets using statistics and ML to surface actionable insights and inform pipeline improvementsProactively audit data for quality issues; find the problems no one else has noticed yet, diagnose root causes, and ship fixesWhat You'll BringStrong Python skills and a track record of writing production code, not just scripts or notebooksStrong SQL, including complex joins, window functions, performance tuning, and data modelingComfort working in ambiguous environments; you can scope a problem, make a plan, and execute without hand-holdingA genuine, non-negotiable commitment to data quality; you treat silent bugs as real failuresAbility to go deep on an unfamiliar domain and develop meaningful expertise over timeNice to HaveExperience with LLM integrations, prompt evaluation, or classification at scaleFamiliarity with eval frameworks such as Braintrust, Promptfoo, or equivalentPrior work in healthcare, supply chain, or another domain where data quality has direct operational consequencesSkills & Tools You'll UseNeed to Know: Python · SQL · PostgreSQL · CI/CD · Production observabilityNice to Know: Temporal · Braintrust · Snowflake · AWS · SigmaWhat You Get at ClariumTarget Base Salary Range: $150K - $180KThe base salary Clarium offers may vary depending upon the ultimate scope and responsibilities of the position and on the candidate’s job-related knowledge, skills, and experience. The total package will include equity, in addition to a full range of medical and/or other benefits, depending on the position offered. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.Incentive Stock Options proportionate to your salaryFully remote, with a NYC co-working space available; distributed team across multiple time zones with opportunities for in-person timeUnlimited PTOTop-tier health, vision, and dental benefits401KThe opportunity to build on a strong foundational team with deep data and engineering roots at a stage where your work genuinely shapes the productEqual Opportunity StatementClarium is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.

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Location 📍: Sydney, Australia (Hybrid - 3 days in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We're hiring for several Engineering Managers as we continue to scale the team and our platform for increasing enterprise demand.This is a high-impact, high-ownership role where you'll lead a team of engineers working on some of the hardest problems in AI—helping shape how AI agents are built, orchestrated, and operated in production on our platform. You'll partner closely with our Head of Engineering, Founders and cross-functional leaders, while staying close enough to the technical work to guide execution, raise the bar, and unblock your team.Your mission? Build a high-performing engineering team, drive strong technical outcomes, and help deliver ambitious roadmap goals in a fast-moving environment.Your impact💥Lead and develop a high-performing team of 6 to 8 engineers, supporting performance, coaching, and day-to-day execution in a high-trust environment. You will directly shape a culture of truth-seeking, ownership, and continuous improvement across your team.Contribute meaningful hands-on technical leadership through a mix of design reviews, technical planning, code review, bug fixing, and selected feature development.Help your team solve ambiguous, high-leverage technical problems in AI systems and product infrastructure.Create clarity in fast-moving situations by driving strong execution, thoughtful trade-offs, and high engineering standards.Handle tough conversations with empathy and conviction, including feedback, alignment challenges, and expectation setting.Hire bar-raising candidates by partnering closely with Talent Acquisition to execute hiring plans and close strong engineers.Partner with Product, Design, and GTM as an equal. Bring options, not problems, to the executive team.What We’re Looking For 🧠3+ years of experience as an Engineering Manager, with a track record of leading engineering teams of comparable scope in problem-dense environments.Strong technical credibility with the ability to stay meaningfully hands-on and guide architecture, implementation quality, and execution.Demonstrated ability to work closely with product or company leadership on roadmap direction, prioritisation, and delivery.High AI fluency in your day-to-day workflow; you actively use AI agents to plan, build, and review technical work.Strong judgment in ambiguous environments, including the ability to push back when needed and make pragmatic decisions.Prior exposure to AI/ML domains or experience working on SaaS platforms, infrastructure, or product engineering problems is highly valued.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Tuesday, Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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About usFounded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce. We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API. We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide. We are looking for a Senior FastAPI engineer to help us add new AI features in Photoroom. You will use asyncio heavily to build and enhance AI features, improve private API speed, and integrate multiple services to deliver high-quality images and videos to our users Compensation: 100k to 110k* + Stock-Options/BSPCE (Local currency)Location: Remote with with monthly Paris office visits (fully reimbursed). We can hire people already based in selected countries only: France, Germany, Ireland, Italy, Portugal, Spain, UK, Poland.About the roleYou'll collaborate with the AI Tools squad implement and improve AI features in the Photoroom app (Logo maker, AI Images, AI Videos, and other features available on the homepage of the app).You'll design and architect new features, chaining a mix of internal and external services to generate breathtaking images and videos for our users.You'll monitor and scale the growing load on the FastAPI service, leveraging Datadog to find optimisations and bottlenecks or implementing smart caching of pipeline steps. About youYou have experience designing and updating internal REST APIs operating at scale, collaborating with other teams to gather their requirements and monitoring and improving the performance of existing services, ideally with Datadog.5 years of production python & fastapi is a minimum baseline.You have a strong practical understanding of FastAPI or a similar async Python http framework (has to be async).You know how to keep async actually async. You can identify blocking calls in async handlers, know when to offload CPU-bound work to a thread, and treat protecting the event loop as table stakes.You have experience with integration testing in a large Python project and wiring multiple external services or APIs together reliablyYou have worked in a fast-paced startup in the past and thrive in high-autonomy environments where you set your own direction and own outcomes end-to-endBonus: experience working with AI APIs in productionIf you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit. Hiring ProcessScreening call with the Talent ManagerTechnical interview with the Hiring ManagerHome technical assignment, followed by a review with the team (can be compensated and under 3h)Culture fit interviews and meet the team!Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. BenefitsWork flexibly from one of our core countries: France, Germany, Italy, Spain, Poland, the US (NYC)Regular team gatherings, including in-person onboarding in Paris (1-2 weeks), yearly company offsite and team retreat, quarterly in-person meetings (monthly during probation period), and social events like winter party and hackathons.30 days annual leave plus local public holidaysCompetitive equity package with stock options/BSPCE, giving you ownership in our growing company€1000 one-time home office grant OR €400 per month co-working space stipend€1,000 annual learning and development budget for training, courses, books, and skill developmentPrivate health insuranceAccess to personalized mental health support, including 1:1 sessions with therapists or coaches, self-care tools, and well-being resources via MokaCareSports and cultural activities reimbursementRelocation support (up to 10k) available for those choosing to move to France, including apartment finding and visa assistance.Note: Visa sponsorship and relocation support are only available for positions based in France. We cannot sponsor visas for remote positions outside of France.Diversity, Equity, Inclusion, and BelongingWe're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.That's also why we have flexible working hours, trust people to work remotely, and extended parental leave.All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

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Harness EngineerLocation: NYC Reports to: CTOAbout NomicNomic builds AI agents and developer tools that power the built world. We help enterprise teams in architecture, engineering, and construction extract structured knowledge from decades of drawings, specs, and project files. Our platform combines embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.The RoleOur agents reason over massive, messy, real-world document collections — construction drawings, specifications, decades of project history. Getting that right means solving retrieval, context assembly, and evaluation as first-class engineering problems, not afterthoughts bolted onto a prompt.We're hiring a Harness Engineer to work on the systems that make our agents effective: how they find information, how they assemble context, how we know they're working, and how we make them better over time.You should be the kind of engineer who knows what a vector database is and when not to use one. Who thinks about retrieval as an architecture problem, not a library call. Who's paying attention to how agent systems actually get built and deployed in 2026 — and has opinions about it.What You'll Work OnRetrieval systems — search, ranking, chunking strategies, hybrid approaches, knowing which tool fits which problemContext engineering — assembling the right information for agents operating over large, heterogeneous document setsEvaluation and harnesses — building the infrastructure to continuously measure agent accuracy, regression-test retrieval quality, and close feedback loopsAgent pipelines — the orchestration layer between retrieval, models, and downstream actionsScale — making all of the above work across thousands of customer document collections, not just a demo corpusWhat We're Looking ForStrong software engineering skills in Python and/or TypeScriptReal experience with retrieval systems — embeddings, vector search, traditional IR, or some combinationYou've built systems that had to work on messy, real-world data — not just clean benchmarksFamiliarity with LLMs and agent frameworks in practice, not just in theoryYou think in systems — how components interact, where things break, what doesn't scaleIntellectual curiosity about the retrieval and agent tooling landscape as it exists right nowEven better if you have:Experience with evaluation infrastructure — evals, benchmarks, regression testing for AI systemsBackground in search, NLP, or information retrievalExposure to the AEC industry or other document-heavy domains

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Who we areHealthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible.We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients.In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide.Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health. The RoleWe're looking for a Clinical Coding Specialist with deep expertise in Australian medical coding to guide the development of Heidi's AI scribe platform into compliant, billable, structured medical documentation.You'll be the clinical coding expert who ensures our AI systems understand and apply Australian medical coding principles correctly, working directly with our engineering team to embed your expertise into automated systems that support clinicians seamlessly. You'll play a crucial role in defining coding accuracy standards, validation processes, and compliance frameworks that power millions of patient encounters across Australia. What you’ll doYou'll work as the clinical coding subject matter expert to ensure our AI-powered systems meet the highest standards of medical coding accuracy and compliance for the Australian healthcare systemLead medical coding validation for AI-generated documentation, ensuring accurate application of ICD-10-AM, ACHI, and MBS item numbers across diverse clinical scenarios in both public and private settingsDevelop coding guidelines and protocols that translate complex Australian Coding Standards (ACS) into systematic processes our AI can learn and apply consistentlyConduct quality audits of AI-coded documentation, identifying patterns, gaps, and opportunities for improvement in coding accuracy, DRG assignment, and complianceCollaborate with engineering teams to translate medical coding expertise into technical requirements, validation rules, and system improvementsWork directly with Australian clinicians to understand documentation patterns, clinical decision-making, and coding challenges across private hospitals, and public health systems, and GP practices.Ensure regulatory compliance with Department of Health coding standards, Medicare Australia requirements, DVA guidelines, and private health insurer specificationsAnalyze coding data and metrics to identify trends, accuracy patterns, and areas for system optimization across our Australian customer baseStay current with coding updates including annual ICD-10-AM/ACHI releases, MBS schedule changes, and ACCD standards updatesSupport customer implementations by providing coding expertise during enterprise client onboarding and troubleshooting What we’re looking for3-5+ years of professional medical coding experience in Australian hospital, clinic, or health system environmentsHIMAA certification in Clinical Coding or equivalent qualification (university/TAFE clinical coding certificate)Expert-level knowledge of ICD-10-AM/ACHI and Australian Coding Standards (ACS) across multiple specialtiesStrong understanding of DRG (Diagnosis Related Groups) and AR-DRG classification systemMBS knowledge and understanding of Medicare Australia billing requirementsMulti-specialty coding experience including public/private hospital, GP, emergency department, and specialty clinic codingExperience with coding audits and quality assurance processes, including accuracy measurement and improvement initiativesFamiliarity with EHR systems such as Epic, Cerner, Best Practice, Medical Director, Genie, or hospital PAS systemsAnalytical skills with ability to identify coding patterns, trends, and systematic issuesAdaptability to work in a fast-paced technology environment and translate traditional coding processes into innovative AI-powered solutions The way we work 1. Build to LastWe design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.2. Own Your PracticeIdeas rise on merit, not title, and everyone shares responsibility for the standards we set together.3. Move Fast, Stay SteadyWe move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.4. Make Others BetterHonest feedback, steady support, and shared growth keep our teams improving together. Why you will flourish with usFlexible hybrid working, with 3 days in the officeMonthly $150 AUD benefit to invest in your physical and mental wellbeingRecharge Days after major milestones and busy periodsA generous personal development budget of $1000 AUD per annumBecome an owner, with shares (equity) in the company, if Heidi wins, we all winA one-time home office setup contribution26 weeks paid parental leave for primary carers, 18 weeks for secondary carersA fertility support benefit of $10,000 AUD covering IVF, egg freezing or sperm freezing10 days per year dedicated to supporting clinicians in maintaining accreditationThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career! Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all.

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Build a safer world with us, one incident at a time.Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list.Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.Ready to learn more? Connect with us on LinkedIn and YouTubeThe Role:As a Senior Founding GTM Engineer at Ambient.ai, you’ll be the technical architect of our AI-driven growth engine. We aren’t just looking for someone to manage tools; we need a systems-minded engineer to build the "AI brain" for our entire go-to-market motion.You’ll sit at the nexus of Sales, Marketing, and Data Engineering, using a mix of low-code automation and custom scripting (Python/JS) to turn account intelligence into a scalable revenue machine. Your mission: build an intelligent GTM engine that helps our team focus on high-value conversations instead of manual clicks.What you'll do:Architect AI-Driven GTM Workflows: Design and automate end-to-end processes using Clay, AirOps, and n8n. You will build and maintain the systems that support AI agents used for account prioritization, persona identification, and personalized messagingOperationalize Intent Signals: Implement workflows that synthesize first- and third-party intent signals to launch hyper-targeted, data-driven ABM campaignsEngineering the "Glue": Write the scripting and "glue-code" (Python/JavaScript) needed to ensure data flows cleanly between Salesforce, HubSpot, Snowflake, and our AI toolchainPrompt Engineering & Orchestration: Build and iterate on messaging workflows using structured prompt engineering and model context protocols. You'll lead design sprints to optimize for reusability and outcome predictabilityMeasure & Observe: Define KPIs and monitor system performance (e.g., engagement rates, prompt drift, and latency), making data-driven improvements to the GTM stackEvangelize the Engine: Document system behavior and contribute to shared prompt libraries, ensuring the Sales and Marketing teams understand how to leverage the "AI brain" you’ve builtThe Expectations (Your First 90 Days):30 Days: Map existing workflows, identify data silos, and deliver a systems audit with "quick win" automations60 Days: Build and test agent-level workflows in production. Define messaging context boundaries and prototype workflows for persona simulation90 Days: Fully own the AI-driven GTM infrastructure. Lead the implementation of long-term observability loops and productionize agent governance practicesWhat You’ll Bring:6+ years of experience in a Technical GTM, Growth Engineering, or RevOps Engineering role within B2B SaaSTechnical Fluency: Proficiency in scripting (Python or JavaScript) for building data pipelines and system triggersThe Modern Stack: Hands-on experience with AI-workflow automation (n8n, AirOps, Clay) and technical familiarity with CRM/MAP (Salesforce/HubSpot)AI Sophistication: Familiarity with model context protocols, multi-agent orchestration, and tools like Cursor or Lovable for prompt sandboxingSystems Thinking: Ability to synthesize complex datasets and translate business objectives into elegant technical implementationsBuilder Mindset: You are comfortable working independently in a fast-paced environment but possess the communication skills to align cross-functional teamsWhy join us:We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possibleWe partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOneRegular Full-time employees receive stock options for the opportunity to share ownership in the success of our companyComprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan)We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand)The latest tech and awesome swag will be delivered to your doorEnjoy a full range of opportunities to connect with your awesome co-workersWe love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist#LI-HybridAmbient.ai is proud to be an Equal Opportunity Employer.  Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.

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About the Role: We are seeking a Backend / Systems Engineer to help build a flexible, robust, and high-performance backend architecture that serves diverse use cases across customers and product lines. Your work will be critical in enabling our AI engineers, analysts, and data scientists to rapidly prototype, iterate, and deploy workflows, services and data pipelines that leverage large language models (LLMs).This is a high-impact role that blends backend engineering with thoughtful system design to accelerate product development and real-world impact of AI Systems, in particular LLMs.What You'll Do:Design and build extensible backend systems that support flexible configurations for different customers and content types.Develop infrastructure that interfaces cleanly with LLMs, enabling prompt engineering, context injection, and modular evaluation workflows.Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.Prioritize ease of deployment, integration, and testing, both for internal teams and external partners.Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems. What We’re Looking For:5+ years of experience in backend systems or infrastructure engineering.Strong software engineering skills in Python, Go, Java, or equivalent.Experience designing scalable APIs, backend systems and data pipelines.Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).Strong understanding of cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).Passion for building systems that unlock velocity and experimentation for cross-functional teams. Nice to Have:Background in trust & safety, or content moderation.Familiarity with Django, Snowflake, React, Step functions.Experience with LLM-Ops and DevOps.Why Join Us?Work with renowned industry leaders in AI and online safety who have built and scaled Trust & Safety systems at companies like Google, YouTube, TikTok, and Reddit, helping shape how technology operates responsibly at global scale.Build greenfield systems from the ground up, with real ownership over core architecture rather than maintaining legacy platforms. This is a rare opportunity to define foundational infrastructure at a pivotal moment in AI adoption.Apply AI technology to real-world, high-impact use cases at meaningful scale, including work with blue-chip and government customers, where reliability, trust, and accountability truly matter.Work in an environment that values engineering rigor, sound judgment, and psychological safety, with the ability to focus deeply on your craft without unnecessary bureaucracy.We offer competitive compensation, including a base salary range of $150,000–$220,000 USD, along with equity, comprehensive benefits, and a hybrid in-office work environment. Compensation is determined based on experience, skills, and scope of impact.

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Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.About the roleEvals builds the internal platform that teams across Magic use to evaluate the performance of first-party and third-party models. The team supports pre-training, post-training, data, inference, and product, and sits on the critical path of many of the company's most important decisions.As a Member of Technical Staff on Evals, you will build both the platform and the evaluations themselves. You'll develop infrastructure for large-scale evaluations, data ablations, and dataset quality analysis, while designing and validating the methodologies used to measure model performance.Sweating the details matters on this team. Many benchmarks, papers, and open-source evaluation frameworks contain subtle bugs or flawed assumptions that lead to misleading conclusions. We care deeply about correctness, reproducibility, and measurement quality.Evals are essential to the success of the company. By building trustworthy evaluation systems, you will help Magic make better research decisions, build better datasets, and ship better products.What you'll work onBuild and maintain the internal evals platform used across MagicDesign, implement, and validate eval tasks for pre-training, post-training, reinforcement learning, inference, and product systemsDevelop infrastructure for running large-scale evaluationsBuild systems to measure dataset quality and identify opportunities to improve training dataImprove evaluation correctness, reproducibility, and reliabilityAudit and improve upon public benchmarks, evaluation methodologies, and open-source implementationsPartner with research, data, inference, and product teams to define metrics that accurately reflect model qualityBuild tooling and frameworks that enable teams across Magic to make decisions based on trustworthy measurementsWhat we're looking forStrong software engineering fundamentalsExperience building production systems, internal platforms, or developer infrastructureExceptional attention to detail and a high bar for correctnessExperience working with machine learning systems, evaluation frameworks, data infrastructure, or research toolingAbility to reason critically about benchmarks, metrics, and experimental methodologyStrong intuition for measurement quality and experimental designExperience designing, implementing, or operating systems that run at scaleStrong debugging and investigative skillsComfortable navigating ambiguity and determining whether a measurement is actually capturing the behavior it claims to measureSkepticism toward results that cannot be reproduced, validated, or explainedTrack record of owning technical projects end-to-endExcitement about helping researchers and engineers make better decisions through trustworthy measurementsCompensation, benefits, and perks (US)Annual salary range between $200K - $550K depending on experienceEquity is a significant part of total compensation, in addition to salary401(k) plan with 6% salary matchingGenerous health, dental, and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation support for candidates moving to San FranciscoA small, fast-moving, highly collaborative team working on frontier AI systemsMagic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.Our cultureIntegrity. Words and actions should be alignedHands-on. At Magic, everyone is building Teamwork. We move as one team, not N individualsFocus. Safely deploy AGI. Everything else is noiseQuality. Magic should feel like magic

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FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We are seeking a Senior / Staff ML Systems Engineer to architect and build the distributed infrastructure that powers large-scale machine learning workflows across the organization. This role sits at the intersection of machine learning, distributed systems, and platform engineering. You will be responsible for designing scalable systems that support data processing, model training, evaluation, and post-processing pipelines while enabling ML teams to efficiently develop, operate, and scale production-grade workflows. You will play a critical role in defining the architectural patterns, tooling, and infrastructure that underpin our machine learning platform. What You'll Get To Do Design and build scalable distributed machine learning pipelines across data processing, model training, evaluation, and post-processing workflows. Architect distributed execution systems, including parallelization strategies, workload scheduling, resource allocation, and fault tolerance mechanisms. Develop reusable abstractions, frameworks, and libraries that simplify distributed pipeline development. Optimize performance across distributed CPU and GPU environments, improving throughput, utilization, and reliability. Design systems that effectively manage data partitioning, memory utilization, serialization overhead, and compute efficiency. Partner closely with ML engineers, data engineers, and infrastructure teams to productionize research workflows and enable large-scale model development. Establish best practices and engineering standards for distributed machine learning infrastructure. Evaluate and guide decisions around distributed computing frameworks, infrastructure technologies, and system design trade-offs. Improve observability, debugging, monitoring, and operational tooling for distributed systems at scale. What You Have 5+ years of experience building distributed systems, backend infrastructure, machine learning platforms, or large-scale data processing systems. Strong Python programming skills, including experience with concurrency, performance optimization, and systems development. Experience with distributed computing frameworks such as Ray, Spark, Dask, Flink, or similar technologies. Experience designing and scaling data pipelines or machine learning workflows. Strong system design skills with demonstrated expertise in scalability, reliability, and performance optimization. Experience diagnosing and resolving bottlenecks in distributed environments. Ability to work cross-functionally and drive technical decisions across multiple teams. The Extras That Set You Apart Experience building infrastructure for machine learning training and inference systems. Familiarity with modern ML frameworks such as PyTorch or TensorFlow. Experience with multi-node or multi-GPU training architectures, including DDP, FSDP, DeepSpeed, or similar technologies. Experience operating Kubernetes-based infrastructure and large-scale cloud systems. Deep understanding of distributed systems concepts including data locality, serialization costs, scheduling, and resource management. Experience with distributed debugging, observability, and workflow orchestration platforms. Proven ability to establish technical direction and influence architecture across organizations. 170,000 - 200,000 a year Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics. Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine?In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics RevolutionWe are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.About This Role:Crusoe Cloud is seeking a Senior+ Solutions Engineer to work closely with our most strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure. This is a hands-on, customer-facing role requiring deep technical expertise in Kubernetes, MLOps, and cloud infrastructure.You’ll guide customers through end-to-end deployment—owning the PoC process, optimizing workloads post-sale, and serving as a critical technical voice between our customers and engineering teams. Ideal candidates are passionate about AI infrastructure, fluent in containerized environments, and confident translating workloads across cloud platforms.What You'll Be Working On:Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the PoC through to post-sales optimization.Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency.Infrastructure-Centric Thinking: Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure. Ensure performance at the container and hardware level.Cross-Cloud Translation: Help customers migrate and adapt workloads across AWS, Azure, and GCP. Understand and explain the tradeoffs between cloud-native and Crusoe-native approaches.Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts that highlight real-world customer success.Voice of the Customer: Relay feedback to internal engineering and product teams to continuously improve Crusoe’s platform based on real-world implementation experience.What You'll Bring to the Team:Deep Kubernetes Expertise: 3-5 years building and deploying containerized workloads. Experience with Helm, Terraform, Docker, and multi-node orchestration a must.MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows.Hands-on Cloud Infrastructure Knowledge:Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure. Experience translating workloads across clouds is highly desirable.Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments.Strong Linux and CLI Proficiency:Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI.Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful.Bonus Points:Experience with Ray, Kubeflow, or other distributed ML orchestration platformsExposure to Slurm, but with a primary focus on containerized MLOps over traditional HPCMulti-cloud deployment or migration experience (especially AWS ➝ Crusoe transitions)Content contributions (tech talks, blogs, public case studiesMust be able to pass a background checkEmbody the Company valuesBenefits:Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being, including pension contributions, private health and dental insurance, income protection, life assurance and more.Compensation:Compensation will be paid as salary or hourly. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Remote, only for candidates in LATAM   At Ryz Labs we are looking for an AI Solutions Engineer (Staff) to join one of our clients' teams. This is a first-of-its-kind role, sitting at the intersection of platform engineering, AI-assisted development, and business-facing technical advisory.   As AI-assisted development has become a core part of how teams across the business build internal tools, workflow applications, and operational software, a dedicated engineering function is needed to ensure that what gets built is scalable, secure, and maintainable. The AI Solutions Engineer will own the engineering layer that supports this capability — configuring and evolving the platform that underpins it, establishing the standards that govern how AI-generated applications are built and deployed, and serving as a technical advisor to non-technical stakeholders throughout the process.   This role requires someone who can operate at both the platform and the people layer: building tooling that enables teams to move faster and more independently, while also advising on risk, trade-offs, and technical feasibility in plain language. The right person has genuine fluency with modern AI development workflows, earned by actually building with these tools, alongside deep production experience in Elixir and AWS.   What You Will Do Own configuration, administration, and ongoing maintenance of our AI-powered application platform Collaborate with infrastructure engineers to shape the framework and standards that govern how AI-assisted applications are built, reviewed, and deployed. Design and build tooling that enables teams to develop and iterate on applications with greater independence and less engineering overhead Evaluate AI-generated code for security, scalability, and production readiness, and define code review standards specific to AI-assisted development workflows Serve as a technical advisor to non-technical stakeholders — helping them understand what is possible, where risk lives, and when engineering involvement is required Establish and promote best practices for AI-assisted development across the engineering organization Partner with the AI Solutions team and engineering leadership to define the long-term architecture of this platform as it scales What We Are Looking For 8+ years of experience building and shipping production-grade applications Production experience in Elixir; ability to evaluate, refactor, and extend Elixir codebases and guide others doing the same Experience with CI/CD tooling (GitHub Actions or similar) and infrastructure as code (Terraform, CloudFormation) Deep working knowledge of modern AI development tools and LLM-assisted coding workflows (e.g., Claude, Cursor, Copilot, Lovable, or similar), with the technical depth to critically evaluate their output Direct, hands-on experience building AI-powered applications — not just familiarity with the tools, but a track record of having shipped them Experience in regulated environments or with applications subject to data sensitivity requirements (MNPI, PII, or similar) Hands-on AWS experience, including deployment, infrastructure management, and cloud-native service patterns (Lambda, ECS/EKS, RDS, S3, SQS) Experience building internal platforms or self-service developer tooling that reduces engineering toil and enables non-technical users Ability to communicate clearly with non-technical stakeholders — translating technical constraints into plain language and advising business users on risk without requiring them to understand the underlying architecture Strong ownership mindset: comfortable operating with ambiguity and defining the path forward with minimal direction Nice to Have Familiarity with microservices architecture and service decomposition patterns Interest in sports or collectibles a plus!

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleAre you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI-powered work orchestration platform. You’ll be at the forefront of defining and implementing rigorous quality strategies for our enterprise-grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field.This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering.🦸🏻‍♀️ What you'll doDefine and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance.Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You’ll need proficiency in at least one language like Typsecript, Python.Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria.Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high-quality releases.Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams.Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post-release quality validation.Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world-class AI solutions.Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution.Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP).Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution.⭐️ What you need5+ years of hands-on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications.Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright.Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs.Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus.Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed.A collaborative spirit that helps you Connect cross-functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end-to-end quality of our products.Demonstrated ability to drive initiatives independently and thrive in a fast-paced, evolving startup environment. 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.