AI Product & Operation Jobs

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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 700+ 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’re looking for a technical, systems-minded operator to build and scale the evaluation engine behind Harvey’s platform. As we expand globally, ensuring our models behave reliably, accurately, and jurisdictionally correctly is mission-critical—and evaluation complexity is increasing 10x.As a member of our Product Operations team, you’ll work closely with Applied Legal Researchers, Product, Engineering, AI Research, and human data providers to operationalize evaluation methodologies and embed them into our product development lifecycle. You’ll create the workflows, systems, and tooling that make evaluation a first-class product capability at Harvey.This is a high-ownership role for someone who thrives in ambiguity, loves building structure from ambiguity, and wants to help scale the evaluation infrastructure of a global AI company.What You’ll DoBuild and scale the systems that power model and product evaluations across HarveyEmbed evaluation workflows and readiness checkpoints into the product development lifecycleCreate the single source of truth for evaluation status, results, history, and launch readinessTurn Expert-designed evaluation methodologies into scalable, repeatable operational processesManage relationships with human data vendors and ensure evaluation quality meets legal standardsWork with Engineering and Research to improve evaluation tooling, automation, and dashboardsDrive evaluation readiness for major product and model launches across geographies and jurisdictionsDocument and operationalize evaluation governance as complexity increasesHelp define how Harvey ensures model accuracy, reliability, and trust at global scaleWhat You Have4–7+ years in technical program management, product operations, research operations, or evaluation/benchmarking rolesExperience working with ML/AI evaluations, benchmarking frameworks, or scientific workflowsComfort with statistical methodologies and SQL or Python, or similar tools to interpret evaluation dataAbility to work deeply with legal experts and operationalize complex evaluation methodologiesStrong cross-functional coordination skills across Product, Engineering, Research, and data providers/vendorsHigh attention to detail and a bias toward clarity, rigor, and reproducibilityAbility to navigate extreme ambiguity and bring order to complex systemsStrong communication skills and comfort translating technical nuance for diverse stakeholdersDesire to do whatever it takes to make evaluation systems successful—from writing documentation to diagnosing pipeline issuesBonus PointsExperience in legal tech or working with domain experts in regulated industriesExperience managing human data providers or human-in-the-loop evaluation pipelinesBackground in ML research, data quality management, or evaluation scienceEarly employee at a hyper-growth startupExperience at world-class product or platform operations orgs (ex: Stripe, Ramp)Compensation$178,500 - $210,000 USDPlease find our CA applicant privacy notice here.#LI-CL1Harvey 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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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 Vision-guided robotics 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.

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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 Vision-guided robotics 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.

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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 Vision-guided robotics 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.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where iOS is a core platform, not an afterthought.This is a founding iOS role. You’ll design AI-powered mobile systems that balance UX excellence with the realities of AI latency, streaming, and failure modes.Why This Role MattersYou define how AI feels in users’ handsYou bridge backend intelligence with human interactionYou help establish iOS engineering standards from zeroYou influence product direction through what’s possible on-deviceWhat You’ll DoBuild and maintain iOS apps using Swift / SwiftUIIntegrate AI-powered features via backend APIsImplement camera, microphone, and media pipelinesDesign UX for AI interactions (loading, streaming, retries, fallbacks)Optimize performance, memory, and battery usageCapture user feedback and signals for AI evaluationCollaborate with backend and AI teams on API designMaintain high App Store quality and production stabilityWhat It’s Like to Work HereYou own features end-to-endYou design systems, not just screensYou think deeply about latency, reliability, and UX tradeoffsYou move fast, test in production, and iterateYou work closely with senior engineers and foundersRequirements3+ years of iOS development experience (Swift)Hands-on experience integrating AI featuresStrong understanding of async/await and background tasksExperience with camera, audio, and local storageSolid iOS performance and memory optimization skillsExperience shipping production appsNice to HaveExposure to CoreML or on-device MLBuilt AI chat, voice, or streaming-based appsExperience with feature flags or remote configStrong intuition for AI UX patternsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.