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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.About the RoleWe are seeking an AI Leader to drive our product's AI and agent capabilities. You will lead a lean team of applied researchers while working closely with engineering and product teams to translate research into production-ready AI agents. This is a hands-on role — we need a doer who thrives in a startup environment with a high degree of freedom and ambiguity.This role is hybrid (3 days/week in office), with a strong preference for candidates based in New York.Key Responsibilities:Lead the research, development, and deployment of AI agents for our production systems.Collaborate closely with engineering and product teams to integrate AI capabilities into the product experience.Drive the full life-cycle of AI systems from conception through deployment, including building robust evaluation frameworks to measure and improve agent performance.Stay at the forefront of AI by exploring the latest advancements in agents, evals, and applied AI research.Provide strategic direction and mentorship while contributing directly to prototyping, building, and iterating on AI systems.Who You Are:5+ years of professional experience in AI, with leadership experience.Deep understanding of software engineering principles and proficiency in Python, AI frameworks, and modern tooling for agents and evals. Experience with deep learning and reinforcement learning is a plus.Hands-on builder who takes ownership and drives projects to completion.Extensive experience shipping AI systems in production, particularly agents and LLM-powered applications.Strong communicator who works well cross-functionally with engineering and product teams.Advertising or marketing-related experience is a strong plus.How to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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About CartesiaOur mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.About the RoleAs a Platform Engineer Intern, you'll have the opportunity to work inside our engineering team building cutting edge machine learning infrastructure and products on the latest AI research.Your ImpactDesign and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models.Work closely with our research team and product engineers to translate cutting edge research into incredible products.Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training. What You BringStrong engineering skills, comfortable navigating complex codebases and monorepos.An eye for craft and writing clean and maintainable code.You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend.)Nice-to-HavesExperience building large-scale distributed systems with high demands on performance, reliability, and observability.Background in or experience working with machine learning and generative models.Our Culture🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

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About HedraHedra is a frontier artificial intelligence company for generative media. We're building world-leading models and beautifully simple software for turning your ideas into impact, with backing from leading VCs at a16z, Index Ventures, and Abstract Ventures. We've grown to millions of creators on our platform.SummaryAs an Agentic Engineer, you will design, build, and scale the systems that power AI agents and agentic workflows for Hedra's transformative products. You'll architect production-grade agent infrastructure moving well beyond simple API calls. You'll work with frameworks like PydanticAI, AG-UI, and A2A, implement tool calling and multi-agent orchestration, and establish rigorous evaluation practices.Must-Have ExperienceBuilt conversational agents or agentic systems leveraging foundation models (OpenAI, Gemini, Claude, Grok, etc.) at critical scaleStrong command of TypeScript, React, Node.js, and PythonExperience with LangChain, LangGraph, pydantic-ai, or equivalent orchestration frameworksSolid grasp of agent architecture: tool/function calling, ReAct, multi-agent orchestration, agent loopsHands-on experience with agent evals: trajectory evaluation, tool call accuracy, benchmarkingExperience integrating LLM-based systems into user-facing web productsStartup or 0→1 product environment experienceNice-To-Have ExperienceProduction experience with conversation memory, context window management, RAG, and memory summarizationExperience with agent-frontend protocols: AG-UI, SSE streaming, tool streamingBackground in observability and monitoring for agentic systemsExperience with Kubernetes BenefitsCompetitive compensation and equity401kHealthcare (Silver PPO Medical, Vision, Dental)Lunch and snacks at the office We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.

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We are looking for the bestAt 42dot, our AI Data Pipeline Engineer architect and scale global data pipelines that ingest and process data from worldwide sources. You will design and operate high-throughput systems to reliably deliver petabyte-scale data to our large-scale GPU infrastructure, powering mission-critical AI workloads.ResponsibilitiesDesign and build high-performance, scalable data pipelines to support diverse AI and Machine Learning initiatives across the organization.Architect and implement multi-region data infrastructure to ensure global data availability and seamless synchronization.Develop flexible pipeline architectures that allow for complex branching and logic isolation to support multiple concurrent AI projects.Optimize large-scale data processing workloads using Databricks and Spark to maximize throughput and minimize processing costs.Maintain and evolve the containerized data environment on Kubernetes, ensuring robust and reliable execution of data workloads.Collaborate with AI researchers and platform teams to streamline the flow of high-quality data into training and evaluation pipelines.QualificationsExtensive professional experience in building and operating production-grade data pipelines for massive-scale AI/ML datasets.Strong proficiency in distributed processing frameworks, particularly Apache Spark and the Databricks ecosystem.Deep hands-on experience with workflow orchestration tools like Apache Airflow for managing complex dependency graphs.Solid understanding of Kubernetes and containerization for deploying and scaling data processing components.Proficiency in distributed messaging systems such as Apache Kafka for high-throughput data ingestion and event-driven architectures.Expert-level programming skills in Python for system-level optimizations.Strong knowledge of cloud-native services and best practices for building secure and scalable data infrastructure.Logical approach to problem-solving with the persistence to identify and resolve root causes in complex, large-scale systems.Strong communication skills to effectively collaborate with cross-functional teams and external partners.Preferred QualificationsExperience in architecting global, multi-region data pipelines and solving challenges related to cross-border data transfer and latency.Practical experience or a strong interest in implementing distributed computing frameworks like Ray for AI workloads.Experience in building real-time or near-real-time pipelines using Spark Streaming or Flink.Familiarity with Infrastructure as Code (IaC) tools such as Terraform to manage complex data environments.Understanding of the end-to-end ML lifecycle (MLOps) and how data infrastructure supports model experimentation and deployment.Interview Process서류전형 - 온라인 코딩테스트 - 화상면접 (1시간 내외) - 대면면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.※ 지원 전 아래 내용을 꼭 확인해 주세요.42dot이 일하는 방식, 42dot Way 보러가기 →42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 →

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We are looking for the bestAt 42dot, our AI Infrastructure Engineer manages the high-performance AI infrastructure orchestrating thousands of GPUs across multiple data centers. You will contribute to the scaling, monitoring, and operational optimization required to maintain a robust and world-class computing environment.ResponsibilitiesOperate and maintain a large-scale GPU cluster consisting of thousands of GPUs across multiple data centers using Kubernetes and Slurm.Monitor and diagnose failures across the GPU hardware and software stacks to ensure high availability and rapid recovery.Develop automation tools and scripts using Python or Shell to streamline repetitive infrastructure management tasks and improve operational efficiency.Manage GPU resource quotas and provide technical support to ML researchers to ensure optimal utilization of computing resources.Participate in the architectural design and performance tuning of distributed training environments for large-scale autonomous driving models.QualificationsStrong proficiency in Linux operating systems, including a solid understanding of kernel operations, process management, and system security.Practical experience with containerization technologies (Docker) and orchestration (Kubernetes), including building, managing, and troubleshooting containerized environments.Solid understanding of networking fundamentals, including TCP/IP and HTTP(S), with the ability to perform basic network troubleshooting.Ability to write clean and maintainable scripts in Python or Shell for automation and system administration.Logical approach to problem-solving with the persistence to identify and resolve root causes in complex, large-scale systems.Strong communication skills to effectively collaborate with cross-functional teams and external partners.Preferred QualificationsExperience in building observability stacks with Prometheus, Grafana, and Datadog for large-scale clusters.Experience in building or operating infrastructure on public cloud platforms such as AWS or GCP.Knowledge of the NVIDIA accelerated computing stack, including drivers, CUDA, and NCCL.Familiarity with the ML model training lifecycle and deep learning frameworks such as PyTorch or TensorFlow.Experience with large-scale workload managers or resource scheduling tools such as Kubernetes or Slurm.Familiarity with Infrastructure as Code (IaC) tools such as Terraform to manage complex infrastructure.Interview Process서류전형 - 온라인 코딩테스트 - 화상면접 (1시간 내외) - 대면면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.※ 지원 전 아래 내용을 꼭 확인해 주세요.42dot이 일하는 방식, 42dot Way 보러가기 →42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 →

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Imagine having the power to stress-test an entire power grid against a hurricane before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.ABOUT THE ROLEAs a Senior Software Engineer, you will be designing and implementing features in one of our engineering groups: Digitisation: generate digital twins from various data sources using a mix of machine learning, algorithms and work on tooling to correct bad extractions as fast as possible.Platform: provide the API surface for organisations to extract the most value out of the data hosted on the Neara platform. Work on our internal expression language and work with customers and other teams to identify the abstractions we need to provide.Design: take digital twins (or prospective designs) and analyse the viability of designs, from load analysis on infrastructure to identifying the resilience of the electric network to extreme weather events. WHAT YOU WILL DODigitisationDevelop and measure algorithmic/ML improvements to digital twin extraction.Improve monitoring to identify when our systems do a bad job of digital twin extraction (for example, distribution drift, misconfiguration).Develop tooling to quickly fix problems created by automated solutions.If you’d like to apply for a Machine Learning Engineer role in this group, please click here.PlatformDevelop the functionality of our internal platform by identifying common abstractions that can apply to many unique use cases.Data abstractions that allow users to semantically model and interact with their organisation's data.DesignDevelop solutions that provide designers the ability to simulate the structural forces on the network and the behaviour of the network in various weather scenarios.Develop CAD-like tooling to import engineering designs to develop networks or work with Digitisation to fit lidar and imagery to engineering designs in order to achieve better simulations.WHAT WE OFFERCompetitive salary & meaningful ESOPFully flexible working arrangements with a well-stocked office in RedfernRegular office eventsThe real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us. To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time.No agencies or third-party service providers, please.Questions? Email talent@neara.com.

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About Fractional AIFractional AI builds bespoke gen AI software to transform businesses.Every C-suite is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).Fractional AI is building a Dubai office to serve clients in EMEA and Asia.About the RoleJoining Fractional AI’s Dubai office as a Founding Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying cutting-edge AI solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.What you bring to the tableYou write exceptional code + deeply care about the craft of coding (7+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languagesYou are excited about AI: you have some demonstrated interest in AI - Whether you've experimented with LangChain, built an LLM-based side project, or simply have become a ChatGPT power userYou’re comfortable working across the full stack: Engineers at Fractional work across the backend, frontend, data layer, and infrastructure. We don’t expect you to be an expert in all of these on day 1, but you’re willing to jump in and learn quicklyYou love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen beforeYou are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and cultureYou are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needsYou are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growthWhat you'll doDesign and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalabilityPartner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and supportActively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love workingOur tech stackWe’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in Python or Typescript.After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with frameworks like AI SDK, Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB).A day in the lifeYou're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is differentYou’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.You’ll have some solo heads down time to continuing jamming on the high priority pieces for that print.Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.Why you should (and shouldn’t) join usWe’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you.Why join Fractional?Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our Dubai office means things like team lunches, quick brainstorming, and the right amount of banter.Why shouldn't you join Fractional?Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.Directly interfacing with customers isn’t your thing: At Fractional, you’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer and the ability to speak with them and present to them with polish is crucial.Our ValuesOverdeliver.Overuse AI.Over "engineer" the culture.LocationIn-office in Dubai 4 days a week, Fridays remote.Benefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.🪪 Visa sponsorship

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We are looking for a Senior Full Stack Engineer to become part of our mission focused and high performing engineering team, and work closely with colleagues in Ankara, Berlin and our Silicon Valley Headquarters, to drive meaningful AI product innovation at massive scale.The Mission: TrustLab is building the trust and safety layer that enables AI agents to be deployed responsibly, as well as other scalable AI solutions, at global scale. We develop and deploy advanced autonomous AI systems that monitor, evaluate and observe agents during development and in production. Founded by senior leaders from Google, YouTube, TikTok, and Reddit, TrustLab’s solutions are industry leading and used by global technology brands to support their daily operations.The Impact: You are part of a team that is responsible for some of the most critical components of our AI centric tech stack. You define and deploy central parts of our global platform that evaluates cutting edge customer AI systems at scale. You will work as part of our global technical leadership team to push the boundaries of what’s possible with state of the art AI Tech, and deep commitment to customer success and creating industry leading solutions.What You’ll Do:Build internal and customer facing tools used daily to improve AI agent behaviorDrive product features from intuitive React frontends (TypeScript) to robust Python (Django/FastAPI) backends.Build the workflows that allow human-in-the-loop AI to function at peak efficiency.Set the standard for code quality and scalability in a fast-moving, early-stage product environment.Influence product direction, technical standards, and architectural decisions from day one.What We’re Looking For:Experience: 5+ years of professional software development, including extensive experience with coding agents (Cursor, Claude Code, Codex, or similar)Stack: Mastery of Python and React/TypeScriptUX Sensibility: Attention to detail with an eye for usability. You care about building tools that are as performant as they are intuitive.Experience deploying and operating services on AWS (or another major cloud provider) is a strong plus.Experience building or integrating AI agent systems (LLM workflows, tool-use, orchestration frameworks, or evaluation pipelines) is a plusHow We Work:Small teams, high ownership, minimal process overheadAsync-first collaboration across Ankara, Berlin and Silicon ValleyEngineers are involved in product and technical decisions, not just executionWhy Join TrustLab Ankara?Foundry of Experts: Work directly with AI Industry leaders who scaled trust & safety systems at the world’s largest platforms.Competitive Compensation: Annual salary range of $55k–$100k USD, based on experience and impact, plus meaningful equity in a venture-backed startup.Modern Workspace: Hybrid flexibility with in-person collaboration at our Maidan, Ankara office.Substantial benefits incl. paid supplemental private health insurance, education stipend, meals and more.Annual Paid US Offsite: Opportunity to join the full team at our US headquarters for strategy alignment, deep collaboration, and innovation.

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About Us:At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.About The Role:We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.You will: Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountabilityStrengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellenceShape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability PlatformPartner with product and design teams to define scope, sequence, and success criteria for key initiativesMaintain a high bar for technical excellence while making sure the team moves with urgency and focusLead by example in writing clean, maintainable, and well-tested code in Go/Python and TypescriptEngage directly with customers to understand their needs and translate them into actionable product improvementsWhat You Bring:Experience managing or tech-leading teams delivering complex full-stack productsStrong technical background in Go/Python and React/TypescriptSolid understanding of databases (Postgres, Redis and ClickHouse)Proven ability to design high throughput data-intensive systemsBias towards shipping quickly and learning from customersStrong communication skills—able to collaborate with internal stakeholders and engage directly with customersBonus: Experience building AI/LLM-powered applications, developer tools, or observability platformsCompensation & BenefitsWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.Annual salary range: $200,000- $250,000

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JOB DESCRIPTION: The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.   As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline. You’ll design, build, and scale the models and infrastructure needed to use Shield’s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.  What You'll DoBuild and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++. Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. Implement scenario simulation tooling and formal test infrastructure. Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing. Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity. Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI. Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering. Required QualificationsBS or MS in Computer Science, Aerospace, Robotics, or related field. 8+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization. Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems. Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management. Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.  Preferred QualificationsUnderstanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics. Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.  125,000 - 175,000 a year#LI-SM1

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About HandshakeHandshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.Why join Handshake now:Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelWork hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutionsJoin a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among othersBuild a massive, fast-growing business with billions in revenue About the RoleAs a Senior Software Engineer, you will drive the design and development of the core experiences that help students find opportunities, spanning search, discovery, jobs, and job search. You will set technical direction, uplevel engineering quality, and play a key role in scaling our platform and AI-powered experiences. In this role, you will:• Design and implement scalable, high-availability systems powering search and discovery experiences across our platform.• Lead the development of agentic AI experiences for students, including our conversational AI agent for resume help, job search, and interview prep.• Work with OpenAI real-time APIs and agentic frameworks to deliver intelligent, conversational features, and guide best practices for their use across teams.• Collaborate with cross-functional partners (Product, Design, Data, GTM) to define, build, and iterate on features that drive member value and engagement.• Own projects end-to-end, from technical design and implementation to rollout and monitoring, ensuring reliability and performance at scale.• Champion engineering excellence through code reviews, technical mentorship, and improving our tooling, standards, and architecture.Desired Capabilities5+ years of experience in software engineering, ideally with consumer platforms, marketplaces, or social apps at meaningful scale.Proficiency in programming languages such as Python, Java, or JavaScript, with a track record of delivering robust, production-quality systems.Strong product sense and user empathy, with experience shaping features that create real value for members and measurable business impact.Experience with cloud platforms (AWS, Azure, or Google Cloud) and modern architectures (microservices, event-driven systems, or distributed systems).Ability to break down complex problems, make pragmatic technical decisions, and communicate trade-offs clearly to both technical and non-technical stakeholders.Excellent communication and collaboration skills, with experience mentoring other engineers and contributing to a healthy engineering culture.Extra CreditExperience with AI, chatbots, or conversational interfaces.Background working with search, recommendations, ranking systems, or other relevance-focused products. PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 📚 Growth: Learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. Lead the creation and execution of developer training and enablement programs.Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years of experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or CursorExperience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. Lead the creation and execution of developer training and enablement programs.Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years of experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or CursorExperience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Ema is building the world’s first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters.Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes.Founded by leaders from Google, Coinbase, and Okta, and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution, not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale.If you care about building and shipping real AI systems that work in production, this role is for you.Who You AreThe AI Implementation Manager owns the delivery and stabilization of Ema’s agentic AI solutions — from commitment through production rollout and steady state. This is not a research role , a support role or a coordination only project management role. You are the delivery leader and technical anchor during implementation, working closely with Value Engineering, Product, Engineering, Infrastructure, and customer IT and business teams. You build rare expertise in production-grade AI delivery. You help set the bar for how agentic AI is delivered in production and prove that AI systems can be implemented responsibly, not heroically . You help enterprises move from manual processes to reliable AI executionWhat You’ll Work On1. End-to-End AI Delivery OwnershipOwn delivery from design alignment through production rollout and stabilizationEnsure solutions align with Ema’s agentic architecture and platform capabilitie2. Feasibility Judgment & Agentic Workflow TranslationDevelop a deep understanding of the customer’s business processes and constraintsTranslate business workflows into feasible agentic AI workflows3. Technical Oversight & De-RiskingProvide delivery-focused technical oversight without being the primary builderAnticipate where AI implementations break — integrations, data quality, scale, edge cases4. Stakeholder Leadership (Internal & External)Act as the primary delivery point of contact for customer business and IT stakeholdersCoordinate across Engineering, Product, Data, Infrastructure, and Value Engineering5. Delivery Management Under PressureCoach stakeholders and teams during high-stress phasesReduce chaos — not amplify it — when things go wrong6. Progress, Reporting & StabilizationCommunicate delivery progress, risks, and decisions clearly to all audiencesTrack success through adoption signals and outcome-adjacent metrics, not just features7. Team Leadership & EnablementProvide day-to-day delivery leadership and mentorshipPromote shared standards, clear ownership, and delivery disciplineWho You AreYou have 8+ years in technical delivery, implementation management, or program leadership rolesYou have experience with agentic AI, automation, or workflow orchestration platformsYou have proven experience delivering complex, customer-facing enterprise systemsYou have Hands-on exposure to AI or automation systems in productionYou have experience working across Engineering, Product, and customer IT teamsYou have track record beyond pilots — production, scale, and accountability requiredYou have familiarity with cloud platforms (AWS, GCP, Azure), APIs, and enterprise integrationsYou have background in fast-growing startups or enterprise platform companiesYou have strong Technical and Delivery Judgement and prior experience stabilizing systems post go-live under real pressure

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About the TeamThe Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.About the RoleAs a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for Sora’s rapid iteration cycles.We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.Partner with researchers to deeply understand requirements and translate them into production-ready systems.Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.You might thrive in this role if you:Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.Are detail-oriented and bring rigor to building and maintaining reliable systems.Demonstrate excellent software engineering fundamentals and organizational skills.Are comfortable with ambiguity and rapid change.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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About Fractional AIFractional AI builds bespoke software to help organizations solve complex, high-impact problems.Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).By joining Fractional AI, you’re stepping onto a San Francisco, NYC, NC, and Dubai-based team working on AI projects for top companies from the comfort of an engineering-first startup.Fractional AI is launching a new enterprise division, which is physically headquartered in the Triangle of North Carolina. The enterprise division is initially focused on healthcare and life sciences (an area where our leadership team has deep experience), with plans to expand into other industries as we grow. This unique opportunity allows you to be a part of the founding team to help build the division from scratch, but with the stability and resources of an established and profitable startup.About the RoleJoining Fractional AI as a Forward-Deployed Software Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.“Forward-deployed” means we combine software engineering with customer-facing problem solving, owning delivery from early scoping through deployment and iteration. You’ll spend most of your time coding, but close enough to customers to shape the right solution end-to-end.By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.What you bring to the tableYou write exceptional code + deeply care about the craft of coding (5+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages.You are excited about AI. Many strong candidates will be building AI systems for the first time in a production context, so curiosity and learning speed matter more to us than prior buzzword exposure.You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before.You thrive in high-ownership environments: you take initiative, function well with limited structure, and enjoy shaping how work is done. Whether you come from prior start-up experience or a mature organization, you have owned internal systems, shipped production software, and/or made the transition from data/ML work into scalable engineering.You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs.You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth.What you'll doDesign and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability.Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support.Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working.Our tech stackWe’re generally tech stack agnostic - we work in our customers’ environments and code bases, so we choose tools based on their needs rather than fixed preferences. A lot, but definitely not all, of our work is in Python, Typescript, Vercel, and Terraform.After working at Fractional AI for a few years, you’ll become fluent in the modern applied AI stack (e.g., LangGraph, DSPy, VLLM), from foundation model APIs to evaluation tools (e.g., Braintrust, Pydantic, InspectAI), as well as retrieval and deployment frameworks (e.g., OpenPipe, Pinecone, ChromaDB).A day in the lifeYou're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different.You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.You’ll have some solo heads down time to continue jamming on the high priority pieces for that print.Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.We move quickly, but sustainably, and believe strong execution comes from good judgment, not burnout.Who you'll work withYou’ll report to Rebecca, who leads our Enterprise engineering team, and will also collaborate closely with Kyle, who leads Enterprise sales and business development.You’ll work very closely with other engineers on the Enterprise team -- most project teams consist of 2-5 engineers and a Forward-Deployed Product Manager. We also love collaborating and knowledge-sharing with our counterparts in the SF, NYC, and Dubai offices (we’re all on the same Slack, which makes that easy even across time zones).You’ll also spend time partnering with Eddie, our Co-Founder and CTO, our CEO, Chris, and Chairman, Travis.Why you should (and shouldn’t) join usWe’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you.Why join Fractional?Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our NC office means things like team lunches, quick brainstorming, and the right amount of banter.Why shouldn't you join Fractional?Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.Our ValuesOverdeliver.Overuse AI.Over "engineer" the culture.LocationRaleigh-Durham-Chapel Hill Area, NCWork Arrangement: 4 days in-person, Fridays remoteBenefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.📈 401k with Matching: Invest in your future with our company-matched retirement plan.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.🚑 Health FSA: Manage out-of-pocket health expenses effectively.🚌 Commuter Benefits: Make your travel to work easier and more affordable.🏥 Life Insurance: Providing peace of mind for you and your loved ones.🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.Ready to join us?

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. 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 1000+ customers in 58+ 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey 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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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. 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 1000+ customers in 58+ 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey 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 LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.About The RoleAs a Forward Deployed Engineer, you will sit at the intersection of engineering, product, and customer delivery. You’ll embed directly with customers, deeply understand their workflows, and design and deploy AI-powered solutions that deliver immediate, real-world impact.This is a highly autonomous, hands-on role for someone who thrives in ambiguous environments, enjoys working directly with customers, and wants to shape product direction through what they see in the field. You’ll partner closely with Product and Engineering to turn customer needs into scalable systems that improve how healthcare organizations operate.This is a hybrid position. Our team is in-office 3 days a week (Mon, Tue, Thu) in San Mateo, California. What You’ll DoEmbed directly with customers to understand their workflows, constraints, and success criteriaDesign, build, and deploy AI-driven solutions tailored to real operational problemsBuild and maintain production systems including APIs, integrations, monitoring, and feedback loopsTranslate business requirements and customer needs into technical architectures and implementationsOperate in high-stakes environments where reliability, speed, and judgment matterIdentify patterns across customer deployments and feed insights back into core product and platform developmentPartner closely with Product and Engineering to influence roadmap, abstractions, and long-term system designOwn deployments end-to-end, from initial scoping through launch and iterationWhat We’re Looking For3+ years of software engineering experience, ideally with backend or systems-focused workStrong proficiency in Python (TypeScript / JavaScript experience is a plus)Experience working with cloud infrastructure (AWS, GCP, or Azure)Ability to translate ambiguous requirements into working, production-ready systemsStrong communication skills and comfort working with both technical and non-technical stakeholdersHigh ownership mindset with the ability to operate independently in fast-changing environmentsExperience with AI systems (LLMs, vector databases, prompt engineering, or agent frameworks) is a strong plus

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.Position Overview Xaira is seeking enthusiastic and motivated candidates to join our team as Research Engineers. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.  The role is based in our London office, located near Old Street. Our team is highly collaborative, operating on the belief that hard problems are best solved by multiple people working towards a clear goal, bringing and sharing their expertise with the team. We operate a hybrid working culture based on trust. Members of the team are typically in the office 3 days a week. Key Responsibilities Industry experience as a research engineer, in an AI-related company. Excited to work, learn and teach within a collaborative team working on challenging problems. Desirable Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary. Masters (or equivalent)/PhD in AI-related field. Public codebases or contribution to public GitHub repositories. Experience building and training neural networks. Experience in distributed training and inference. Experience profiling and optimising large-scale AI models. Knowledge or experience in BioAI. If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.