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ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEDesign and implement the infrastructure and tooling used by poolside researchers and engineers. YOUR MISSIONTo ensure our progress leads to meaningful improvements to our users.RESPONSIBILITIESResearch and implementation of evaluations and benchmarks; both for base models and for instruction following modelsCollaborate with both applied research and product teams to define meaningful metrics and evaluations that capture our progress on real world software development skillsWork in a team: plan future steps, discuss, and communicate clearly with your peersSKILLS & EXPERIENCEExperience with Large Language Models (LLM)Strong understanding and intuition of LLMs, and their limitationsGood taste, and a curious mindsetStrong engineering backgroundStrong programming skills, ideally across multiple languagesFamiliar with full software development life cycleProgramming experienceLinuxStrong algorithmic skillsMultiple languages, including PythonUse modern tools and are always looking to improveStrong critical thinking and ability to question code quality policies when applicablePROCESSIntro call with one of our Founding EngineersTechnical Interview(s) with one of our Founding EngineersTeam fit call with the People teamFinal interview with one of our Founding EngineersBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.    The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.      As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.In this role, you will: Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures. Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams. Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency. Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU. Qualifications BS in computer science or related field and 7+ years of experience. Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight. Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments. Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines). Bonus Qualifications Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT & XLA. Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar). Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. 217,000 - 307,000 a yearBase 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.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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About Us:Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. Our investors include Lux Capital, Redpoint Ventures, Amplify Partners, and Elad Gil.Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.The RoleWe are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you!Requirements5+ years of experience writing high-quality, high-performance code.Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT).Familiarity with Nvidia GPU architecture and CUDA.Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc).Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About the TeamOpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new and emerging classes of risk. This enables our partner teams to develop data-backed policies and safety mitigations. Precisely understanding how models behave in real-world conditions allows us to safely enable users to build useful things with our products.About the RoleAs an Abuse Investigator focused on AI Self-Autonomy and Agentic Risk on the Intelligence and Investigations team, you will be responsible for identifying and investigating cases where models exhibit autonomous or agentic behavior, including chaining capabilities, acting with increasing independence, or demonstrating patterns that may introduce safety risk. This includes detecting behaviors that are not explicitly intended, understood, or covered by existing safeguards.This role requires deep domain-specific expertise in identifying, understanding, and mitigating risk from agentic systems, model autonomy, and AI self-improvement signals. You’ll need experience investigating complex systems where behavior emerges across multiple steps, tools, or interactions, and the ability to distinguish between normal task execution and concerning patterns such as persistence, workaround behavior, or capability expansion. You’ll need a proven ability to navigate ambiguous signals in a rapidly evolving and highly technical environment.This role is based in our San Francisco office. Investigations may involve reviewing complex or sensitive model behaviors and edge-case outputs, requiring strong judgment and resilience in high-pressure environments.In this role, you will:Review leads, investigate model behavior, and identify cases where systems demonstrate agentic or autonomous patterns that that introduce safety risksDetect and analyze behaviors such as multi-step planning, capability chaining, tool use, persistence, and workaround behaviorDevelop signals and tracking strategies to help proactively identify emerging agentic risk patterns across our platformIdentify gaps in existing safeguards, evaluations, or monitoring systems and propose improvementsCommunicate investigation findings clearly to technical, policy, and leadership stakeholdersBe someone people enjoy working with and appreciate the opportunity to help othersYou might thrive in this role if you:Have deep expertise in investigating complex, adversarial, or emergent system behavior, ideally in AI safety, security, cyber, or trust & safety environmentsHave strong familiarity with technical investigations, especially using SQL, Python, or similar tools, in a government, research, or technology settingHave experience analyzing multi-step systems, automation, or agentic workflows, and understanding how behaviors emerge across interactionsHave at least 6 years of experience conducting investigations, threat analysis, or research in complex and ambiguous domainsHave experience identifying failure modes, unintended behaviors, or system-level risks, particularly in AI or software systemsHave at least two years of experience helping to develop automated or scalable approaches to detection or investigationExperience presenting analytic work in technical, research, or policy settingsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.About the RoleWe are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.This role can be based in Mumbai, Bengaluru or Delhi.In this role, you will:Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.You’ll thrive in this role if you:Have 5+ years of post-sales engineering or solutions architecture, working directly with customers.Have 2+ years of software engineering experience and a strong understanding of the software development life cycle.Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities.  This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.   What we need Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes. Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly. Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR. Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.   What you will learn How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows. New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits. Best practices for deploying, validating, and monitoring ML models in production CAD environments. How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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About Us Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations. Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work. Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction. 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 implementation of AI agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks. Client Engagement: Act as the primary technical partner for customers—lead regular demos, communicate progress, gather feedback, and guide solutions from concept to production. Systems Integration: Configure and connect systems using APIs—handling authentication, data mapping, error handling, and integrations with CRMs, knowledge bases, and other enterprise tools. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Prompt Design & Optimization: Write and refine prompts for LLM-driven agents, monitor performance, 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. Cross Functional Collaboration: Collaborate with product/engineering teams to escalate platform gaps and resolve deep technical fixes and platformization, while independently driving leading client implementations. What you’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field 3+ years in conversational AI, solution engineering, system integration, or delivering AI/LLM-based applications in customer environments, software engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong ability to communicate and  lead customer-facing discussions - from deep technical troubleshooting to weekly project demos. Ability to explain complex technical concepts to non-technical audiences.  Must have strong hands-on skills in prompt design, workflow building and API integration (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). Working knowledge of retrieval-augmented generation (RAG) concepts, implementation patterns and performance optimization. Programming experience in Python, JavaScript, or similar for scripting and integrations Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems.  Experience with integration tools and Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficiency in API integrations and data flow management is a plus. Familiarity with telephony or voice systems (SIP, CCaaS, PSTN) is a plus.  Why You’ll Love It Here   Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best. Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work. 401(k) plan: Long-term financial planning support with tax-advantaged retirement savings Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience. 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)

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About the RoleA1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time.As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.FocusBuild and ship AI features end-to-end (model → system → user experience)Design and iterate on prompts, tools, memory, and agent workflowsTurn raw model outputs into structured, reliable, and predictable behaviorsDebug issues across the full stack (model, orchestration, infra, UX)Optimize for latency, cost, and production reliabilityDevelop lightweight evaluation frameworks to measure real-world performanceWork closely with product and engineering to translate ambiguous problems into working systemsTech StackPythonPyTorch / JAXLLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)Inference / serving (e.g. vLLM)Vector DBIdeal ExperienceStrong foundation in machine learning and modern neural network architectures.Hands-on experience with training, fine-tuning, or deploying ML modelsAbility to write clean, production-quality codeComfort working across abstraction layers (model → infra → product)Strong problem-solving skills in ambiguous, fast-moving environmentsBias toward shipping, iteration, and continuous improvementOutcomesML models in production meet expected accuracy, latency, and reliability targets.Production issues are identified quickly, debugged effectively, and root causes addressed.Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.Iterations on models and systems are driven by real-world signals and measurable improvements.How We Work The best products today in the world were built by small, world class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical AI product. Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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About the RoleA1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time.As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.FocusBuild and ship AI features end-to-end (model → system → user experience)Design and iterate on prompts, tools, memory, and agent workflowsTurn raw model outputs into structured, reliable, and predictable behaviorsDebug issues across the full stack (model, orchestration, infra, UX)Optimize for latency, cost, and production reliabilityDevelop lightweight evaluation frameworks to measure real-world performanceWork closely with product and engineering to translate ambiguous problems into working systemsTech StackPythonPyTorch / JAXLLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)Inference / serving (e.g. vLLM)Vector DBIdeal ExperienceStrong foundation in machine learning and modern neural network architectures.Hands-on experience with training, fine-tuning, or deploying ML modelsAbility to write clean, production-quality codeComfort working across abstraction layers (model → infra → product)Strong problem-solving skills in ambiguous, fast-moving environmentsBias toward shipping, iteration, and continuous improvementOutcomesML models in production meet expected accuracy, latency, and reliability targets.Production issues are identified quickly, debugged effectively, and root causes addressed.Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.Iterations on models and systems are driven by real-world signals and measurable improvements.How We Work The best products today in the world were built by small, world class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical AI product. Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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About the RoleA1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time.As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.FocusBuild and ship AI features end-to-end (model → system → user experience)Design and iterate on prompts, tools, memory, and agent workflowsTurn raw model outputs into structured, reliable, and predictable behaviorsDebug issues across the full stack (model, orchestration, infra, UX)Optimize for latency, cost, and production reliabilityDevelop lightweight evaluation frameworks to measure real-world performanceWork closely with product and engineering to translate ambiguous problems into working systemsTech StackPythonPyTorch / JAXLLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)Inference / serving (e.g. vLLM)Vector DBIdeal ExperienceStrong foundation in machine learning and modern neural network architectures.Hands-on experience with training, fine-tuning, or deploying ML modelsAbility to write clean, production-quality codeComfort working across abstraction layers (model → infra → product)Strong problem-solving skills in ambiguous, fast-moving environmentsBias toward shipping, iteration, and continuous improvementOutcomesML models in production meet expected accuracy, latency, and reliability targets.Production issues are identified quickly, debugged effectively, and root causes addressed.Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.Iterations on models and systems are driven by real-world signals and measurable improvements.How We Work The best products today in the world were built by small, world class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical AI product. Interview processIf there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.