The AI job market moves fast. We keep up so you don't have to.

false

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is seeking an experienced AI Tooling Engineer to enhance our internal, web-based data and AI training tools. This role focuses on developing intuitive web interfaces that support key AI research functions, including robot data annotation, training dataset visualization, and experiment tracking. The ideal candidate has experience building rich, interactive web interfaces using React and TypeScript. Responsibilities Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles Integrate AI models to automate manual tasks Work together with AI researchers, robot operators, and annotators to support new user experiences Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Minimum of 4 years of professional, full-time experience building rich, interactive web interfaces Proficiency in React and TypeScript Bonus Qualifications Experience using data stores (Postgres, MySQL, ElasticSearch, Redis, etc.) Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with Tailwind CSS Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $250,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

false

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is seeking an experienced AI Tooling Engineer to enhance our internal, web-based data and AI training tools. This role focuses on developing intuitive web interfaces that support key AI research functions, including robot data annotation, training dataset visualization, and experiment tracking. The ideal candidate has experience building rich, interactive web interfaces using React and TypeScript. Responsibilities Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles Integrate AI models to automate manual tasks Work together with AI researchers, robot operators, and annotators to support new user experiences Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Minimum of 4 years of professional, full-time experience building rich, interactive web interfaces Proficiency in React and TypeScript Bonus Qualifications Experience using data stores (Postgres, MySQL, ElasticSearch, Redis, etc.) Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with Tailwind CSS Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $250,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

false

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is seeking an experienced AI Tooling Engineer to enhance our internal, web-based data and AI training tools. This role focuses on developing intuitive web interfaces that support key AI research functions, including robot data annotation, training dataset visualization, and experiment tracking. The ideal candidate has experience building rich, interactive web interfaces using React and TypeScript. Responsibilities Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles Integrate AI models to automate manual tasks Work together with AI researchers, robot operators, and annotators to support new user experiences Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Minimum of 4 years of professional, full-time experience building rich, interactive web interfaces Proficiency in React and TypeScript Bonus Qualifications Experience using data stores (Postgres, MySQL, ElasticSearch, Redis, etc.) Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with Tailwind CSS Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $250,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

false

About UsHippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.Why Join Our TeamReinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.Location RequirementWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.About the RoleWe're seeking a Agent Deployment Engineer to join our collaborative team of engineers, scientists, and healthcare professionals working on transformative AI solutions. In this role, you'll help develop and maintain our conversation layer using a mix of software and prompting skills to allow our AI agent facilitate autonomous conversations.What You’ll DoDevelop complex prompts in our SOTA conversation planning layer to enable complex agentic model workflowsCollaborate with Product Managers, Software Engineers and Clinicians to create fully autonomous, clinical conversations.Write, configure and iterate on prompts to create engaging, patient-oriented conversationsUse advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience.Conduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.What You BringMust-Have:Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent coursework/projects).2+ years industry experience Experience with Python Experience with LLM prompting (chatGPT, Claude, etc) through professional or personal useExposure to working with databases and building simple RESTful APIs.Strong problem-solving mindset and eagerness to learn new technologies.Nice-to-Have:Experience with personal or academic projects involving backend development.Basic understanding of AI/ML concepts or a desire to learn about them.Knowledge of modern web frameworks (e.g., Flask, Django, or Spring Boot).Awareness of data privacy and security best practices, especially in regulated environments.Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.

false

About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.About the RoleDecagon is looking for a Solutions Engineer, a foundational technical hire who will help shape the future of our AI-powered solutions in the enterprise space. This role sits at the intersection of pre-sales engineering, product strategy, and enterprise architecture. You will serve as a technical advisor and trusted consultant to enterprise prospects and customers, driving value-based solutioning and integration of Decagon’s AI-native platform into complex customer ecosystems.Your background looks something like this4-6 years of customer facing experience in a sales engineering (pre-sales) rolePartner with Account Executives to discover and qualify solutions that lead to strong return on investment for your customerCreate and architect generative AI experiences for our customer’s end usersDevelop custom demonstrations using the Decagon platform tailored to a customer’s specific needs and valueCommunicate complex technical concepts clearly to diverse stakeholders, including C-level decision makers, business users, and engineering stakeholdersStrong interpersonal and teamwork skillsFunctional understanding of GTM systems and workflowsEven better if you have2+ years of AI sales engineering experienceExperience in a high-growth startup environmentBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your best

false

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Contribute to design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Support the implementation of security and privacy best practices for distributed AI systems. Essential Qualifications Requires at least Masters in Computer Science, Engineering, Data Science, Artificial Intelligence or related fields. 1+ years of experience in backend software development, with strong proficiency in Python, Java, and C++.  Working knowledge in LLM integration into multi-agent systems with strong understanding of agent orchestration, tool use, and memory/context management. Comfortable tinkering with LLMs via prompting and experienced with tools use, task decomposition, and structured outputs. Familiarity with database management systems (SQL and NoSQL) and data streaming technologies. Strong problem-solving skills and ability to work in a fast-paced, agile environment. Preferred Skills Experience with AI model deployment and integration into backend services. Exposure to cloud-edge hybrid architectures and distributed AI workloads. Familiarity with on-device AI frameworks such as PyTorch, TensorFlow Lite, ONNX Runtime, or CoreML. Salary Range: $127,000 - $175,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

false

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 a Senior Applied Research Scientist to drive our product's AI and agent capabilities. You will join 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:Drive the full life-cycle of AI systems from conception through deployment, including building robust evaluation frameworks to measure and improve agent performance.Collaborate closely with engineering and product teams to integrate AI capabilities into the product experience.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:2+ 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.

false

Vapi (/ˈVɑːpi/):We’re creating the shift to voice as humanity’s default interfaceWe’re the most configurable platform for deploying voice agentsWe’ve grown to over 600k developers in two years, adding 2,000+ every dayTry talking to Vapi now!Why We’re Hiring This Role:As Vapi continues to scale, we are working with increasingly complex enterprise customers deploying voice agents across mission-critical workflows. We’re hiring a Solutions Architect to partner with customers and internal teams to design and deploy scalable AI agent architectures. This role sits at the intersection of engineering, product, and customer success and is responsible for translating business requirements into technically sound architectures that drive successful enterprise deployments.What You’ll Do:30 Day:Ramp on Vapi’s platform architecture, APIs, and agent capabilitiesShadow customer deployments and technical discovery callsLearn the technical architecture of current enterprise customer implementations60 Day:Lead technical discovery with customers and design solution architecturesBuild rapid prototypes using AI-assisted development toolsProduce architecture diagrams and technical documentation for customer deployments90 Day:Own end-to-end technical design for enterprise deploymentsArchitect complex integrations using APIs, webhooks, and event-driven systemsPartner with engineering and product to identify platform improvements from customer feedbackWho You Are:5+ years in solutions architecture, pre-sales engineering, technical consulting, or similar customer-facing technical rolesStrong ability to translate business requirements into technically sound solutions and communicate effectively with both engineers and executivesExperience owning end-to-end customer engagements and delivering complex technical solutions with measurable outcomesComfortable working with enterprise customers ($240K+ ACV) in complex stakeholder environmentsAutonomous and self-directed, able to scope, design, and drive solutions independentlyTechnical Strengths:Proficiency in agent design and AI-assisted development, including rapid prototyping using tools such as Claude Code, Cowork, or similar developer toolingExperience designing agentic workflows including tool use, function calling, and multi-step reasoning chainsStrong experience architecting API-first integrations using REST APIs, webhooks, and event-driven systemsProficiency in at least one programming language such as Python or JavaScriptExperience working with conversational AI, voice or telephony platforms, NLP/NLU systems, or LLM-based applicationsBonus:Experience with SIP or WebRTCExperience with CPaaS platforms such as Twilio, Vonage, or GenesysWhy Vapi:Generational impact: Build the human interface for every businessOwnership culture: 70% of the company are previous foundersKind team: The founders, Jordan and Nikhil, are CanadiansTier-1 Investors: YC, KP seed, Bessemer Series AWhat We Offer:Real stake: We offer a competitive salary and excellent equity ownershipComprehensive health coverage: medical, dental, and vision plansTeam love: We love hanging out, and we do quarterly off-sitesFlexible time off: take what you needMore: catered meals, transportation, gym, and a $10k annual L&D budget

false

Zoox is seeking an AI Solutions Architect who will be the primary driver  for the design, development, and deployment of Generative AI (GenAI) and Large Language Model (LLM) solutions. You will work across the enterprise—partnering with Procurement, Legal, Finance, HR, and Marketing—to build intelligent agents and automated workflows that transform how our employees work and how our business makes decisions.In this role, you will: Lead the development and deployment of AI-powered platforms and tools that enhance productivity across core business functions such as Finance, HR, IT, Marketing, Procurement, and Supply Chain. Identify, evaluate, and implement off-the-shelf AI agents to streamline operations, reduce costs, and accelerate business processes. Architect and deploy enterprise-grade LLM applications (RAG, Fine-tuning, Agentic workflows) to automate complex processes. Act as the technical consultant for non-technical leads in Finance (forecasting), Legal (contract analysis), HR (talent matching), and Marketing (content personalization). Build autonomous AI agents capable of navigating multi-step business tasks with minimal human intervention. Collaborate with the Data Analytics team to ensure all AI deployments adhere to strict data privacy, security, and "responsible AI" standards. Manage the lifecycle of AI products from prompt engineering and model selection (GPT-4, Claude, Llama 3, etc.) to integration with internal APIs and databases. Qualifications: 5+ years in Data Engineering, Software Engineering, or Data Science, with at least 2+ years of hands-on experience deploying GenAI/LLMs in a production enterprise environment. Deep proficiency in Python and frameworks such as LangChain, LlamaIndex, or AutoGen. Experience with cloud AI services (Azure OpenAI, AWS Bedrock, or Google Vertex AI) and vector databases (Pinecone, Weaviate, or Milvus). Proven ability to translate "business pain" into "technical requirements." You need to speak "Legal" and "Finance" as fluently as you speak "Python." 203,000 - 255,000 a year Base Salary Range   There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.   Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

false

Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Perception for Contact Rich Manipulation you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

false

Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Perception for Contact Rich Manipulation you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap. Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).  Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems. Experience in LfD (Learning from Demonstrations), kinesthetic learning. Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context. Experience deploying machine learning models on edge compute hardwar​e. At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

false

About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. Robust coding skills required, preferably with proficiency in Python. Demonstrated ability to lead and execute complex technical projects with a focus on customer success. Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in a startup or fast-paced environment. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.Base Pay Range (Plus Equity)$170,000—$240,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

false

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 execution.What 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 capabilities2. 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 Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

false

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 execution.What 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 capabilities2. 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 Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

false

Help Companies Work Better with AIBuild something that matters.Right now, over 5,000 companies, from DAX enterprises like Merck to fast-growing startups, use Langdock every day. Their employees open our product to draft strategies, analyze documents, automate workflows, and think through hard problems with AI.We are the platform that makes this possible: secure, model agnostic, and deeply integrated with how work actually happens.What "Agent Engineer" Means HereAI agents are becoming the operating system of how companies work. Not chatbots. Not simple automations. Agents that own tasks end-to-end: reading customer tickets, updating CRMs, delegating subtasks to other agents, and knowing when to escalate to a human.At Langdock, we are building both the product that lets our customers deploy agents and the internal infrastructure that runs our own. This role sits at that intersection. You will design, build, and operate the AI agents that power critical parts of Langdock's operations, from customer support automation to internal workflows. And the patterns you develop will directly inform how we build the agent platform for thousands of other companies.This is not a role where you configure tools built by someone else. You will work across the full stack: prompt engineering, orchestration protocols, integrations, reliability, and cost management. You will own agents the way an engineer owns a production service.What You Will Actually DoOwn production agents end-to-end. You design, deploy, monitor, and improve the AI agents that handle real customer interactions and internal workflows. When an agent misbehaves, you dig into the logs to identify the root cause and fix it. When it works beautifully, that is also you.Build and operate customer support automation. You will monitor Langdock's support experience by supervising agents that resolve issues faster than most humans could, while knowing exactly when to hand off.Manage agent reliability, cost, and quality. You track how agents perform, what they cost, where they fail, and why. You set budgets, tune behavior, adjust governance rules, and make sure every agent earns its keep.Design the orchestration layer. You define how agent teams are structured, set up approval gates, and build the operational infrastructure that lets autonomous agents work safely at scale.Integrate agents with systems. You connect agents to both internal and external APIs, giving them the context and capabilities they need to do real work.Experiment constantly. New models drop, new techniques emerge, new use cases surface. You are the person who tries them first, benchmarks them honestly, and ships the ones that actually improve outcomes.What Makes This DifferentThis role barely existed two years ago. There is no playbook for it. You are building the discipline of "agent operations" at a company that is also building the platform for it.The agents you run will directly reach Langdock's 5,000+ customers, meaning your work has an immediate, measurable impact. And because the patterns you develop internally become the patterns we productize for customers, you are not just operating agents. You are defining how agents should be operated.We went from 2 to 20M+ ARR in one year. You will join early enough to shape how things work, but late enough that we have traction, customers, and a product people love.You will also learn fast. Our team is small, the scope is large, and the feedback loops are short. People who joined a year ago are now running critical functions. If you are good, you will grow.You Might Be a Fit If...You have built and maintained AI agents or automations in production.You are deeply technical. You understand LLMs, token economics, prompt engineering, API design, and orchestration patterns. You can read a protocol spec and immediately see the edge cases.You obsess over experimentation and reliability. You think in terms of error rates and customer satisfaction. You instrument everything.You are not precious about your agents. When one fails, you find the root cause and fix it. When a simpler approach works better, you kill the clever one.You do not just use AI tools daily. You actively nerd about your setup. You experiment with different models, prompts, workflows, and automations. You have strong opinions about what works and why.You would rather own a problem than be told exactly what to do.You are a kind person who cares about the people around you.The EnvironmentWe work from our office in Berlin, Greifswalder Strasse 212. Everyone works together in person because the hardest problems get solved faster at a whiteboard than in a Slack thread. Conversations happen faster, problems get solved quicker, and we actually know each other.Days start at 8:30. Lunch & dinner are together. We run, go to the gym, and take care of ourselves. Health is not separate from work here, it is part of how we work well.The vibe is calm but intense. No one is yelling or panicking. But everyone is working hard on things that matter.CompensationSalaries are transparent and tied to levels, not negotiation. All roles include equity.We will figure out the right level together based on your experience and scope. Levels are about the work you own, not your title or years of experience. We narrow down the expected salary range early in the process.Next stepsWe move fast. Most processes complete within two weeks.If this sounds like your kind of work, we would like to meet you.

false

(This position is based in Redwood City, CA, and applicants must be able to work on-site three days per week as part of our hybrid schedule.) About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI- Redwood City, CA (Hybrid)

false

About the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the RoleAs an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity!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. Key ResponsibilitiesCo-design future hardware for programmability and performance with our hardware vendorsAssist hardware vendors in developing optimal kernels and add support for it in our compilerDevelop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory hierarchy featuresBuild system performance models at different abstraction levels and carry out analysis to drive decisions on scale up, scale out, front end networkingWork with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance acceleratorsManage communication and coordination with internal and external partnersInfluence the roadmap of hardware partners to optimize them for OpenAI’s workloads.Evaluate potential partners’ accelerators and platforms.As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings. Qualifications4+ years of industry experience, including experience harnessing compute at scale and optimizing ML platform code to run efficiently on target hardware.Strong experience in software/hardware co-designDeep understanding of GPU and/or other AI acceleratorsExperience with CUDA, Triton or a related accelerator programming languageExperience driving Machine Learning accuracy with low precision formatsExperience with system performance modeling and analysis to optimize ML model deploymentStrong coding skills in C/C++ and PythonAre familiar with the fundamentals of deep learning computing and chip architecture/microarchitecture.Able to actively collaborate with ML engineers, kernel writers, compiler developers, system engineers, chip architects/microarchitects Preferred SkillsPhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other SystemsStrong understanding of LLMs and challenges related to their training and inference 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.

false

⚠️ Please read firstThis is a full-time, in-person role based in San Francisco (Presidio) - we work from the office 5 days a week.You must be based in the Bay Area or willing to relocate before starting.We require US work authorisation, but are open to O-1 visa sponsorship for truly exceptional candidates. What You'll DoYou've seen what happens when systems hit scale, and you know which parts to rebuild before they break. This isn't a management role. You're the most experienced builder on the team, and the CTO's partner on every architectural decision that matters.Sauna's architecture works today. It won't be optimal at 1000x the current load with 50x the integration surface. You'll make the calls that shape what it becomes. Here are a few examples:Make hard architectural tradeoffs and own the outcome: Durable Object SQLite vs. shared Postgres for session state. Cloudflare Workers CPU limits vs. longer-running workloads. Single-tenant sandboxes vs. multi-tenant pools. You decide, you migrate, you ship.Design the system that handles concurrent agent sessions across integrations, an agent responding to an iMessage, checking Calendar, drafting a Slack reply, and updating Linear, all within one session with consistent state.Define reliability and observability standards for a ~15-person team: SLOs, error budgets, tracing strategy, incident response patterns that actually work at our scale.Review every significant PR. Set technical direction without blocking velocity. Your pattern recognition from prior scale experience is the product.Ship code daily. Architectural leadership without output is a consulting engagement, not a job.${your ideas}.StackTypeScript, Cloudflare Workers, Durable Objects, Hono, Drizzle ORM, Postgres, Zod, SST, Vercel AI SDK, Docker, React, ViteWho You AreMinimumYou have 8+ years as an IC engineer. You've been Staff or Principal at a company with real scale, but you left (or want to leave) because you want to build, not attend architecture review meetings.You've built and operated systems that serve millions of users. You know the failure modes of distributed state, real-time streaming, and multi-tenant isolation, not from papers, from production.You have recent, hands-on AI/LLM work. You've built agent systems, model routing layers, or tool-use architectures. You understand why tool execution in an agentic loop is fundamentally different from request-response.You're fluent in TypeScript and productive in it on day one. The entire stack is TypeScript.You've left a comfortable role because the work stopped being interesting. You want real ownership and real risk.Bonus (but not required)You have strong opinions on agent runtimes (Durable Objects vs. actors vs. microservices) and deployment strategies for long-running processes.You've worked with Cloudflare Workers at scale.You've contributed to or maintained significant open source projects.Compensation & BenefitsBase salary: $280K–$400K + significant equity + health, dental, 401(k), considerable PTO, gym budget, lunch.The ProcessWe keep our process simple. Exceptional candidates go from first touch to offer within 2 weeks.Application: Submit your resume and answer a few short questions.15-minute intro call: Quick check to align on location, motivation, and logistics. If it's a go, we move fast from here.45-minute technical interview: A deep conversation about systems you've built and decisions you've made. We're looking for depth, judgment, and architectural instinct.System design interview: We'll walk through a real Wordware architecture problem together. We want to see how you think about tradeoffs at scale.Final conversation: We answer your questions and scope out the work trial.Work trial: Paid trial to work on a real project in person with us, usually a few days to two weeks (flexible to do what works for you). See how we work and whether this feels like the right fit on both sides.

false

About UsAt 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 TeamThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.About the RoleThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.What You’ll DoCo-architect and co-build production AI agents with customer engineering teamsOwn the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluationsHelp customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflowsAdvise customers post-sale on architecture, best practices, and roadmap-level decisionsRun technical demos, trainings, and workshops for developer audiencesSurface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customersOccasionally contribute code upstream when it meaningfully improves customer outcomesWhat You’ll Bring3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-upStrong Python, JavaScript and systems fundamentalsHave designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handlingAre comfortable working directly with customers during POCs, architecture reviews, and technical evaluationsCan explain technical tradeoffs clearly and build trust with developer audiencesTake responsibility for outcomes, not just recommendationsHave a bias toward action and enjoy figuring things out as you goAre excited about operating AI agents in production, not just building demosNice to Have’s:You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworksWorked with LLM evaluation, observability, or guardrailsHave experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes conceptsHave shipped and operated production software and are comfortable owning systems under real-world constraintsCompensation & 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 OTE range: $150,000–$250,000 USD

false

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.About the Role We are seeking a Research Engineer to join our interdisciplinary AI team, working at the intersection of machine learning and therapeutic discovery. In this role, you will collaborate closely with AI scientists, engineers, and drug discovery experts to design, build, and deploy AI systems that accelerate the identification and development of novel therapeutics. This role spans a range of problem spaces, from building production-grade machine learning systems for biological data to developing next-generation AI agents that can reason over complex biomedical information. Depending on your background and interests, you may focus on applied ML systems, agentic AI, or a combination of both. We are particularly interested in candidates who are excited to translate cutting-edge advances in AI into real-world impact within drug discovery, and who are comfortable working in fast-paced, cross-functional environments. What You Will Do Design and develop AI/ML systems to support therapeutic discovery, including model training, evaluation, and deployment. Build scalable pipelines for processing and integrating large, complex biological datasets. Collaborate with computational and experimental teams to define problems, evaluate outputs, and iterate on solutions. Develop robust, production-ready systems that can be integrated into scientific workflows. Explore and apply emerging AI techniques to improve model performance and system capabilities. Depending on your focus, you may also: Build agentic AI systems capable of multi-step reasoning, planning, and tool use in biomedical contexts. Develop LLM-based systems that retrieve, synthesize, and reason over scientific literature, omics data, and clinical datasets. Integrate external tools (analysis pipelines, simulation engines, databases) into intelligent, autonomous workflows. Design systems that combine structured and unstructured data in scalable, production environments. Leveling We are hiring across levels and are open to candidates with a range of experience: For more experienced candidates (Senior level): 5+ years of industry experience building and deploying ML systems in production environments Proven track record of scaling models and delivering impactful, production-grade solutions. Experience leading technical projects and driving cross-functional execution. For candidates earlier in their careers: Strong academic or early industry experience, particularly in areas such as LLMs, agentic systems, or computational biology. Hands-on experience with model development, experimentation, or applied ML projects. Demonstrated ability to learn quickly and apply new techniques to real-world problems. Preferred Skills and Qualifications Degree in Computer Science, Machine Learning, Computational Biology, or a related field. Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow). Solid understanding of machine learning and deep learning fundamentals. Experience working with complex datasets and building end-to-end ML workflows. Experience with large-scale model training or foundation models. Experience working with biological or biomedical datasets (e.g., genomics, transcriptomics, clinical data). Familiarity with LLMs, agent-based systems, or complex orchestration frameworks. Publication record at top ML conferences (NeurIPS, ICML, ICLR) or equivalent industry impact. Strong problem-solving skills and ability to work in a collaborative, multidisciplinary environment.   Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. 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.