{"has_next":false,"jobs":[{"id":"f64bd0c1-8ffb-4d21-94d3-458c9b7a9891","company_id":"ff51c80a-dce9-4cb4-b2e6-9c060d25ef55","title":"Software Engineer - Python","slug":"software-engineer-python-6f285126","description":"About Applied Intuition\n Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .\n We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. \n About the role\n \n \n Applied Intuition's Self-Driving System (SDS) for Mining \u0026 Construction is building a modular, production-grade autonomy and operator-assist stack for construction and mining vehicles. Our team is looking for software engineers to develop the tooling and infrastructure that enables rapid development, testing, and deployment of autonomous systems at scale.\nIf you're motivated by complex systems, ownership across boundaries, and real-world impact, this is where architecture meets autonomy.\n At Applied Intuition, you will:\n \n Design and build scalable Python-based tooling and infrastructure to support development across the autonomy stack.\n Build systems that support fleet management and vehicle communication\n Contribute to the design of scalable systems that support multiple vehicle platforms and operating environments.\n Closely collaborate with engineers across the stack.\n \n We're looking for someone who has:\n \n Bachelor’s in Computer Science, Mathematics, or related field.\n 1+ years of experience in shipping complex software in Python.\n Experience building backend systems, developer tools, or infrastructure\n \n Nice to have:\n \n A MSc or PhD in computer science or applied mathematics with coursework or research experience in robotics.\n Experience with driver assistance or autonomous driving systems or off-road products.\n \n Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials \u0026 certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.\n Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.\n Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. \n Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The p","salary_min":125000,"salary_max":222000,"location":"Sunnyvale, CA","workplace":"onsite","job_type":"full-time","experience_level":"junior","tags":["autonomous-vehicles","robotics","cloud","python"],"apply_url":"https://boards.greenhouse.io/appliedintuition/jobs/4674857005?gh_jid=4674857005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-18T23:42:00Z","expires_at":"2026-06-29T14:03:41.990577Z","created_at":"2026-04-13T09:39:25.436367Z","updated_at":"2026-05-30T14:03:42.101006Z","company_name":"Applied Intuition","company_slug":"applied-intuition","company_logo_url":"https://www.google.com/s2/favicons?domain=appliedintuition.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f64bd0c1-8ffb-4d21-94d3-458c9b7a9891"},{"id":"480f0f66-ef83-4e8b-a0d3-9260b2241a34","company_id":"1a3abe34-d1c1-45b9-9259-3e2e007a961c","title":"Senior Python Engineer","slug":"senior-python-engineer-95f64455","description":"Our Database Experience (DBX) Team\n A great MongoDB experience starts with great tools.\n The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users.\n Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well.\n For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads.\n You might be right for this role if you...\n \n Have substantial experience writing high-quality software in Python\n Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks\n Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus\n Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work\n Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time\n Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements\n Communicate well, internally and externally, both verbally and in writing\n Enjoy collaborating with teammates, and mentoring junior engineers and interns\n Are self-motivated, organized, and have strong time management skills\n \n You'll be on the team responsible for...\n \n Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django MongoDB Backend , PyMongoArrow , LangChain MongoDB ) and related software, collaborating with peers in our distributed world-wide engineering team\n Writing and maintaining open source specifications defining common behavior and APIs shared across all of our drivers\n Investigating bugs and support requests from commercial customers, open source users, and internal users for the libraries our team maintains\n Working with our Product and Server teams on designs and specifications for new user-facing MongoDB features\n \n Success in this role means...\n \n Within one month, you will understand the high-level architecture of the drivers and how MongoDB works, and will have completed a few small bug fixes and/or feature tickets\n Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing features, investigating and responding to open source user and customer issues, and reviewing your peers' code\n Within six months, you'll have implemented major, planned new features, contributed to our common driver specifications, shipped a major feature in an open source library, and will be collaborating with the Product team to help craft our roadmap\n Within twelve months, you'll have significantly improved the quality, performance and maintainability of our codebase, and will be taking the lead in designing and specifying major new features\n \n About MongoDB\n MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.\n With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.\n Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. \n To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!\n MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accomm","salary_min":137000,"salary_max":189000,"location":"British Columbia","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","llm","python"],"apply_url":"https://www.mongodb.com/careers/job/?gh_jid=7742877","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T20:15:01Z","expires_at":"2026-06-29T14:08:47.991127Z","created_at":"2026-04-13T11:48:36.260829Z","updated_at":"2026-05-30T14:08:48.102825Z","company_name":"MongoDB","company_slug":"mongodb","company_logo_url":"https://www.google.com/s2/favicons?domain=www.mongodb.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/480f0f66-ef83-4e8b-a0d3-9260b2241a34"},{"id":"3b58060a-1695-46e2-92d4-39f0ce3e569e","company_id":"1a3abe34-d1c1-45b9-9259-3e2e007a961c","title":"Senior Python Engineer","slug":"senior-python-engineer-80da0fb5","description":"Our Database Experience (DBX) Team\n A great MongoDB experience starts with great tools.\n The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users.\n Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well.\n For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads.\n You might be right for this role if you...\n \n Have substantial experience writing high-quality software in Python\n Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks\n Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus\n Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work\n Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time\n Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements\n Communicate well, internally and externally, both verbally and in writing\n Enjoy collaborating with teammates, and mentoring junior engineers and interns\n Are self-motivated, organized, and have strong time management skills\n \n You'll be on the team responsible for...\n \n Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django MongoDB Backend , PyMongoArrow , LangChain MongoDB ) and related software, collaborating with peers in our distributed world-wide engineering team\n Writing and maintaining open source specifications defining common behavior and APIs shared across all of our drivers\n Investigating bugs and support requests from commercial customers, open source users, and internal users for the libraries our team maintains\n Working with our Product and Server teams on designs and specifications for new user-facing MongoDB features\n \n Success in this role means...\n \n Within one month, you will understand the high-level architecture of the drivers and how MongoDB works, and will have completed a few small bug fixes and/or feature tickets\n Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing features, investigating and responding to open source user and customer issues, and reviewing your peers' code\n Within six months, you'll have implemented major, planned new features, contributed to our common driver specifications, shipped a major feature in an open source library, and will be collaborating with the Product team to help craft our roadmap\n Within twelve months, you'll have significantly improved the quality, performance and maintainability of our codebase, and will be taking the lead in designing and specifying major new features\n \n About MongoDB\n MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.\n With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.\n Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. \n To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!\n MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accomm","salary_min":126000,"salary_max":248000,"location":"United States","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","llm","python"],"apply_url":"https://www.mongodb.com/careers/job/?gh_jid=7742875","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T20:14:59Z","expires_at":"2026-06-29T14:08:47.916506Z","created_at":"2026-04-13T11:48:36.181948Z","updated_at":"2026-05-30T14:08:48.026858Z","company_name":"MongoDB","company_slug":"mongodb","company_logo_url":"https://www.google.com/s2/favicons?domain=www.mongodb.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/3b58060a-1695-46e2-92d4-39f0ce3e569e"},{"id":"9059a00f-4280-4d27-a916-00f01b31126f","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Python OSS Engineer ","slug":"python-oss-engineer-45a3e10f","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.\n\n\n\nAbout the role\n\nIn person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)\n\nWe’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package.\n\n - Improving the core abstractions and runtime of the langchain and langgraph packages\n\n - Improving documentation https://python.langchain.com/docs/integrations/providers/\n\n - Answering user questions and resolving issues\n\n - Use langchain to build example applications\n\nWhat You'll Do\n\n - Improve the core abstractions and runtime of the LangChain and LangGraph packages\n\n - Improve documentation across the LangChain ecosystem\n\n - Answer user questions and resolve issues from the community\n\n - Use LangChain to build example applications that demonstrate how to build production AI systems\n\n\n\nWhat You'll Bring\n\n - 5+ years of software engineering or applied machine learning experience\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company\n\n - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision\n   \n\nCompensation\n\n - Annual salary range: $160,000- $240,000\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":160000,"salary_max":240000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["agents","python"],"apply_url":"https://jobs.ashbyhq.com/langchain/74e5f9f4-e44a-4594-ba26-abdf71bf287d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-02-10T19:22:00.81Z","expires_at":"2026-06-29T14:01:42.974116Z","created_at":"2026-04-13T09:37:32.406948Z","updated_at":"2026-05-30T14:01:43.085092Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/9059a00f-4280-4d27-a916-00f01b31126f"},{"id":"ce2ee4d9-a213-4a14-a263-5958ff4fc339","company_id":"97fc076c-6889-4500-8ad0-8d11a0f3245f","title":"Senior Python Software Engineer ","slug":"senior-python-software-engineer-6909b2a1","description":"Synthflow AI is an enterprise AI agent platform that unifies customer operations across voice, chat, and messaging. Our agents handle routine interactions at scale so teams can focus on high-value work.\n\n - Over 20M hours of operations automated\n\n - 60% more calls answered vs. non-AI operators\n\n - 150M interactions handled, 99.99% uptime\n\nBacked by Accel, Atlantic Labs, and Singular. Trusted by 1,000+ customers. Recognized as one of the most promising companies in Germany.\n\n\n\nAbout the role:\n\nWe’re looking for a Senior Python Engineer to craft reliable, production-ready software and backend systems, with a strong emphasis on databases, scalable APIs, and engineering fundamentals.\n\nYour responsibilities will include:\n\n - Develop and maintain our backend infrastructure, focusing on scalability, performance, and reliability.\n\n - Design and evolve data models and persistence layers with a strong focus on PostgreSQL and database best practices (schema design, migrations, query performance, indexing, transactions).\n\n - Build and maintain enterprise-grade APIs (e.g., FastAPI), including versioning, authentication/authorization, and observability.\n\n - Engage in pair programming to improve code quality and collaboration.\n\n - Manage deployments and environments using Kubernetes and GitOps practices (ArgoCD).\n\n - Conduct code reviews, providing constructive feedback and upholding best practices.\n\n - Contribute to product delivery end-to-end, including occasional work on front-end features when needed.\n\n\nYou have:\n\n - 5+ years of experience as a Python developer, shipping production systems.\n\n - Strong experience building scalable and extensible data infrastructure.\n\n - Deep familiarity with relational databases, especially PostgreSQL (performance tuning, migrations, transactions).\n\n - Experience building and maintaining enterprise-grade APIs with FastAPI.\n\n - Hands-on experience running production workloads on Kubernetes.\n\n - Experience with Argo CD (GitOps deployment workflows).\n\n - Experience with GitHub Actions.\n\n - Proficiency in cloud environments (preferably GCP or AWS).\n\n\n\nNice to have:\n\n - Ability to contribute to front-end work (not necessarily a front-end specialist), ideally with React/TypeScript.\n\n - Golang experience, with willingness to contribute to our orchestration stack, which is built in Go\n\n\nWhat we offer:\n\n - Autonomy at speed: High-ownership roles in a fast-moving startup.\n\n - Engineering-first environment: Work on foundational systems that directly impact reliability and scale.\n\n - Career growth: Scale your impact as the company grows.\n\n - Rewarding package: Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.\n\nFounded in Berlin in 2023 by serial entrepreneurs Albert Astabatsyan, Hakob Astabatsyan, and Sassun Mirzakhan-Saky, Synthflow AI democratizes access to advanced voice AI with a no-code platform that lets enterprises easily create, deploy and scale natural-sounding, cost-effective voice agents tailored to their business needs.","location":"Berlin, Germany","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["cloud","speech","agents","python"],"apply_url":"https://jobs.ashbyhq.com/synthflow/e46f4ec1-399a-41ff-9d0e-19a77931e786/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T11:37:16.528Z","expires_at":"2026-06-29T14:07:57.443108Z","created_at":"2026-04-13T09:44:30.084264Z","updated_at":"2026-05-30T14:07:57.562157Z","company_name":"Synthflow","company_slug":"synthflow","company_logo_url":"https://www.google.com/s2/favicons?domain=synthflow.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/ce2ee4d9-a213-4a14-a263-5958ff4fc339"},{"id":"65d81361-5f95-4f81-9996-c3fd455f1b77","company_id":"595eec4e-ceeb-4875-a932-dcdbe673d54f","title":"Senior Software Engineer - Robotics, Perception (C++, Python)","slug":"senior-software-engineer-robotics-perception-c-python-16e5b31b","description":"Build the Path Forward \n At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.\n Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.\n We’re looking for a Software Engineer with deep experience in C++ and Python to lead the development of core systems powering our intelligent robotic platforms. In this role, you’ll architect and implement high-performance software at the intersection of real-time robotics, perception, and machine learning. You’ll take technical ownership of critical components, mentor team members, and help shape the future of our robotics software stack.\n What You’ll Do \n \n Drive software architecture decisions across robotics and perception systems.\n Design, implement, and optimize performance-critical components of the robotics and perception stack in C++ and Python.\n Develop and integrate 3D point cloud processing algorithms for weld joint perception, including registration, pose estimation, segmentation, and geometric reasoning.\n Lead the integration of machine learning models into real-time systems, ensuring low-latency, high-reliability performance.\n Design and implement gRPC/Protobuf service interfaces with attention to schema versioning and backward-compatible API evolution.\n Instrument perception systems for production observability, building telemetry pipelines that connect algorithmic metrics to business outcomes.\n \n Who You Are \n \n Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.\n 5+ years of professional experience in software engineering; title and compensation will be commensurate with experience.\n Solid grasp of system-level software design, concurrency, memory management, and optimization.\n Advanced proficiency in modern C++ and Python, with demonstrated experience building production services using gRPC and Protobuf.\n Experience with robotics or perception applications, including familiarity with ROS/ROS2, motion planning, and hardware interfaces is preferred.\n Proficient in Linux-based development; experience with Docker strongly preferred\n \n Why You’ll Love Working Here \n \n Daily free lunch to keep you fueled and connected with the team\n Flexible PTO so you can take the time you need, when you need it\n Comprehensive medical, dental, and vision coverage\n 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)\n 401(k) retirement plan through Empower\n Generous employee referral bonuses—help us grow our team!\n \n Who We Are \n At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n  \n If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.co m. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.","location":"Columbus, Ohio","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["api-design","robotics","python","c++"],"apply_url":"https://boards.greenhouse.io/pathrobotics/jobs/8499243002?gh_jid=8499243002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-08T20:57:49Z","expires_at":"2026-06-29T14:15:45.544709Z","created_at":"2026-04-16T19:59:18.14001Z","updated_at":"2026-05-30T14:15:45.654792Z","company_name":"Path Robotics","company_slug":"path-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=path-robotics.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/65d81361-5f95-4f81-9996-c3fd455f1b77"},{"id":"781af7eb-681d-40ce-bce5-fe0bd320fa9b","company_id":"3710cf92-3533-4d44-8ae4-7a21c79c5fb6","title":"R\u0026D, Manager - AI Python Frameworks","slug":"rd-manager-ai-python-frameworks-fedbfdbf","description":"Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.\n At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.\n We’re looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all Gong engineering teams to build, deploy, and operate AI agents safely in production. We are building the \"operating system\" for AI at Gong, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.\n You’ll Own: \n \n Agentic Framework Architecture : Designing and building Gong’s internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.\n Evaluation and Quality Systems : Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.\n Team Leadership \u0026 Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.\n Observability, Monitoring, and Guardrails : Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.\n Developer Enablement Platforms : Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.\n Cross-Language Integrations : Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within Gong’s broader backend ecosystem.\n \n You’ll Solve: \n \n Agent Lifecycle and Orchestration Complexity : Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.\n AI System Reliability at Scale : Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.\n Evaluation and Drift Challenges : Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.\n Platform Adoption Friction : Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.\n \n You’ll Impact: \n \n Company-Wide AI Enablement : Empowering every engineering team at Gong to build agent-based solutions faster, with higher quality and confidence.\n Foundational AI Infrastructure : Establishing the core frameworks, evaluations, and observability standards that all AI agents at Gong will rely on.\n AI Safety and Quality Bar : Raising the bar for how AI systems are evaluated, monitored, and governed across the company.\n \n  \n How You’ll Succeed Here: \n  \n \n 8+ years of backend engineering experience, with strong system design and platform-building expertise. Tech leadership or team leading experience is an advantage. \n Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently.\n Hands-on experience with agentic systems and frameworks such as LangChain, LangSmith, ADK , or equivalent agent orchestration platforms.\n Strong understanding of AI evaluation methodologies, including agent evaluations, prompt evaluation, regression testing, and quality monitoring.\n High proficiency in Python for building production-grade AI frameworks and services.\n Familiarity with Java and experience integrating backend platforms or tooling into Java-based systems.\n Experience building observability","location":"Tel Aviv, Israel","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","alignment","agents","microservices","python"],"apply_url":"https://job-boards.greenhouse.io/gongio/jobs/4666594006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T13:19:52Z","expires_at":"2026-06-29T14:12:19.981107Z","created_at":"2026-04-16T14:45:55.507917Z","updated_at":"2026-05-30T14:12:20.093482Z","company_name":"Gong","company_slug":"gong","company_logo_url":"https://www.google.com/s2/favicons?domain=gong.io\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/781af7eb-681d-40ce-bce5-fe0bd320fa9b"},{"id":"ee84fe6f-9221-4fc6-a378-5fb550e2f6d8","company_id":"9d355471-83aa-4d50-9478-2ac3cc40e215","title":"Software Engineer - Go \u0026 Python (Core Services) ","slug":"senior-software-engineer-core-services-99cb6b2e","description":"About us\n PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.\n We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace \u0026 Defense, Materials, Energy, Semiconductors, and Automotive.\n The Role \n PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.\n We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations, empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace, Materials, Energy, Semiconductors, and Automotive.\n The Role\n PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do.\n We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI.\n You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering.\n What You Will Do\n \n Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows.\n Architect and build fine-grained role-based and attribute-based access control (RBAC/ABAC) models that scale across multi-tenant environments.\n Own the platform's permissions layer end-to-end: from policy definition and enforcement through auditing and compliance reporting.\n Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments.\n Define and enforce security standards across APIs and services, including schema governance, data segregation, and least-privilege access patterns.\n Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi-tenant environment.\n Contribute to the design of multi-service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows.\n Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code. Build and maintain deployment pipelines, including zero-downtime and multi-service deployments.\n Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches.\n Mentor junior and mid-level engineers, facilitate technical discussions, and build consensus around architectural decisions.\n \n What you bring to the table\n \n A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team.\n Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python .\n Authentication and identity expertise, hands-on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token-based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD).\n Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy-as-code frameworks (e.g., OPA/Rego, Cedar) in production multi-tenant systems","location":"London, UK","workplace":"hybrid","job_type":"full-time","experience_level":"mid","tags":["cloud","distributed-systems","code-generation","agents","go","python"],"apply_url":"https://job-boards.eu.greenhouse.io/physicsx/jobs/4820418101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-23T22:23:22Z","expires_at":"2026-06-29T14:14:38.36003Z","created_at":"2026-04-16T18:53:43.137287Z","updated_at":"2026-05-30T14:14:38.472893Z","company_name":"PhysicsX","company_slug":"physicsx","company_logo_url":"https://www.google.com/s2/favicons?domain=physicsx.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/ee84fe6f-9221-4fc6-a378-5fb550e2f6d8"},{"id":"59b68ded-f884-4ceb-9e68-d354b92e8611","company_id":"001b54ce-7a42-48ed-9cc0-c35aa150b628","title":"Binance Accelerator Program - Infrastructure Security (Python/ LLM)","slug":"binance-accelerator-program-infrastructure-security-python-llm-57be26f2","description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.\n\nAbout Binance Accelerator Program\nBinance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE\n \nWho may apply\n Current university students and recent graduates\n\n\nWe are seeking a motivated Infrastructure Security Engineer to join our team, contributing to the safeguarding and automation of our platform. The ideal candidate will possess not only the technical expertise to address complex challenges, but also the skill to distil them into clear, intuitive solutions. A keen eye for identifying technical debt and the capability to standardise processes and systems within a zero-trust framework are essential.\n\nIn this position, you will be entrusted with the design and implementation of robust security measures for our cloud-based infrastructure. Collaborating closely with cross-functional teams, you will ensure that our services remain secure and fully aligned with industry best practice and compliance requirements.\n\nAs part of the Infrastructure Security Engineering function at Binance, you will have the opportunity to work on innovative, high-impact projects that directly influence the security and resilience of our platform.\nWe welcome individuals who are deeply passionate about security and DevSecOps, and who are eager to thrive within a fast-paced, forward-thinking environment.\n","location":"Asia","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["payments","llm","security","devops","python","infrastructure"],"apply_url":"https://jobs.lever.co/binance/f7b23016-a6a3-4c02-a2b0-3553c7a5f3a1/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-12-04T01:26:09.075Z","expires_at":"2026-06-29T14:10:59.600036Z","created_at":"2026-04-14T03:39:05.230097Z","updated_at":"2026-05-30T14:10:59.71084Z","company_name":"Binance","company_slug":"binance","company_logo_url":"https://www.google.com/s2/favicons?domain=binance.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/59b68ded-f884-4ceb-9e68-d354b92e8611"},{"id":"6215767d-accc-4d84-ab50-5bf3c02294be","company_id":"978604ed-0f2f-4a49-9103-c48b956910c2","title":"Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai","slug":"staff-python-pytorch-developer-frontend-inference-compiler-dubai-b4ecd25c","description":"Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.    \n Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups.  OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. \n Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.\n About the Role: \n Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available. \n Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute. \n You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.  \n Responsibilities: \n \n Analysis of new models from generative AI field and understanding of impacts on compilation stack\n Develop and maintain model definition framework that consists of model building blocks to represent large language models based on PyTorch and Cerebras dialects ready to be deployed on Cerebras hardware.\n Develop and maintain the  frontend compiler infrastructure  that ingests PyTorch models and produces an intermediate representation (IR).\n Extend and optimize  PyTorch FX / TorchScript / TorchDynamo -based tooling for graph capture, transformation, and analysis.\n Collaboration with other teams throughout feature implementation\n Research on new methods for model optimization to improve Cerebras inference\n \n   Qualifications: \n \n Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability\n Strong  Python  programming skills and in-depth experience with  PyTorch internals  (e.g., TorchScript, FX, or Dynamo).\n Solid understanding of  computational graphs, tensor operations, and model tracing .\n Experience building or extending  compilers, interpreters, or ML graph optimization frameworks .\n Experience working with PyTorch and HuggingFace Transformers library\n Knowledge and experience working with Large Language Models (understanding Transformer architecture variations, generation cycle, etc.)\n Strong  C++  programming skills.\n Knowledge of  MLIR  based compilation stack\n \n Preferred Qualifications \n \n Prior experience contributing to  PyTorch ,  TensorFlow XLA ,  TVM ,  ONNX RT , or similar compiler stacks.\n Knowledge of  hardware accelerators ,  quantization , or  runtime scheduling .\n Experience with  multi-target inference compilation  (e.g., CPU, GPU, custom ASICs).\n Understanding of  numerical precision trade-offs  and  operator lowering .\n Contributions to open-source ML compiler projects.\n \n  \n  \n  \n Why Join Cerebras \n People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:\n \n Build a breakthrough AI platform beyond the constraints of the GPU.\n Publish and open source their cutting-edge AI research.\n Work on one of the fastest AI supercomputers in the world.\n Enjoy job stability with startup vitality.\n Our simple, non-corporate work culture that respects individual beliefs.\n \n Read our blog:  Five Reasons to Join Cerebras in 2026. \n Apply today and become part of the forefront of groundbreaking advancements in AI!\n \n Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.  We celebrate different backgrounds, perspectives, and skills. We believe inclusi","location":"Europe","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["pytorch","llm","generative-ai","tensorflow","agents","python","frontend","inference"],"apply_url":"https://job-boards.greenhouse.io/cerebrassystems/jobs/7513711003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-10-31T01:38:25Z","expires_at":"2026-06-29T14:04:56.952228Z","created_at":"2026-04-13T09:40:51.752494Z","updated_at":"2026-05-30T14:04:57.063562Z","company_name":"Cerebras","company_slug":"cerebras","company_logo_url":"https://www.google.com/s2/favicons?domain=cerebras.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/6215767d-accc-4d84-ab50-5bf3c02294be"},{"id":"913b5017-bae0-4f56-b65c-1fd0eb7d6db4","company_id":"940de2b3-9e87-498f-b201-cdf3572066b2","title":"Senior Software Engineer (FastAPI \u0026 Async Python)","slug":"senior-software-engineer-fastapi-async-python-24c5f601","description":"ABOUT US\n\nFounded in 2019 and part of Y Combinator's 2020 cohort, Photoroom https://www.photoroom.com is the leading visual solution for e-commerce.\n\nWe've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API.\n\nWe're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide.\n\n\n\nWe are looking for a Senior FastAPI engineer to help us add new AI features in Photoroom. You will use asyncio heavily to build and enhance AI features, improve private API speed, and integrate multiple services to deliver high-quality images and videos to our users\n\n\nCompensation: 100k to 110k* + Stock-Options/BSPCE (Local currency)\n\nLocation: Remote with with monthly Paris office visits (fully reimbursed). We can hire people already based in selected countries only: France, Germany, Ireland, Italy, Portugal, Spain, UK, Poland.\n\n\n\n\nABOUT THE ROLE\n\n - You'll collaborate with the AI Tools squad implement and improve AI features in the Photoroom app (Logo maker, AI Images, AI Videos, and other features available on the homepage of the app).\n\n - You'll design and architect new features, chaining a mix of internal and external services to generate breathtaking images and videos for our users.\n\n - You'll monitor and scale the growing load on the FastAPI service, leveraging Datadog to find optimisations and bottlenecks or implementing smart caching of pipeline steps.\n   \n\n\nABOUT YOU\n\n - You have experience designing and updating internal REST APIs operating at scale, collaborating with other teams to gather their requirements and monitoring and improving the performance of existing services, ideally with Datadog.\n\n - 5 years of production python \u0026 fastapi is a minimum baseline.\n\n - You have a strong practical understanding of FastAPI or a similar async Python http framework (has to be async).\n\n - You know how to keep async actually async. You can identify blocking calls in async handlers, know when to offload CPU-bound work to a thread, and treat protecting the event loop as table stakes.\n\n - You have experience with integration testing in a large Python project and wiring multiple external services or APIs together reliably\n\n - You have worked in a fast-paced startup in the past and thrive in high-autonomy environments where you set your own direction and own outcomes end-to-end\n\n - Bonus: experience working with AI APIs in production\n\nIf you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit.\n\n\n\nHIRING PROCESS\n\n - Screening call with the Talent Manager\n\n - Technical interview with the Hiring Manager\n\n - Home technical assignment, followed by a review with the team (can be compensated and under 3h)\n\n - Culture fit interviews and meet the team!\n\n - Reference check \u0026 Offer\n   \n\nSupport - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed.\n\n\n\nBENEFITS\n\n - Work flexibly from one of our core countries: France, Germany, Italy, Spain, Poland, the US (NYC)\n\n - Regular team gatherings, including in-person onboarding in Paris (1-2 weeks), yearly company offsite and team retreat, quarterly in-person meetings (monthly during probation period), and social events like winter party and hackathons.\n\n - 30 days annual leave plus local public holidays\n\n - Competitive equity package with stock options/BSPCE, giving you ownership in our growing company\n\n - €1000 one-time home office grant OR €400 per month co-working space stipend\n\n - €1,000 annual learning and development budget for training, courses, books, and skill development\n\n - Private health insurance\n\n - Access to personalized mental health support, including 1:1 sessions with therapists or coaches, self-care tools, and well-being resources via MokaCare\n\n - Sports and cultural activities reimbursement\n\n - Relocation support (up to 10k) available for those choosing to move to France, including apartment finding and visa assistance.\n\nNote: Visa sponsorship and relocation support are only available for positions based in France. We cannot sponsor visas for remote positions outside of France.\n\n\nDIVERSITY, EQUITY, INCLUSION, AND BELONGING\n\nWe're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.\n\nThat's also why we have flexible working hours, trust pe","location":"Paris, France","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["api-design","python","backend"],"apply_url":"https://jobs.ashbyhq.com/photoroom/80fc804b-7770-49b5-a665-58aafa8069cb/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-07T09:16:22.262Z","expires_at":"2026-06-29T14:06:27.45056Z","created_at":"2026-05-07T14:07:07.490418Z","updated_at":"2026-05-30T14:06:27.560096Z","company_name":"PhotoRoom","company_slug":"photoroom","company_logo_url":"https://www.google.com/s2/favicons?domain=photoroom.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/913b5017-bae0-4f56-b65c-1fd0eb7d6db4"},{"id":"70442333-ca6b-4db3-ac66-8997d0734f18","company_id":"5555de1b-2d05-48ce-ae80-e8d468461568","title":"AI Lead, Python Tools","slug":"ai-lead-python-tools-71cdf41e","description":"At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.\n The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.\n   \n In this role, you will: \n \n Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.\n Prototype and ship features yourself – this is a hands-on technical leadership role.\n Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.\n Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.\n Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.\n Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.\n Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.\n \n   \n We’d love to talk to you if you have: \n \n Strong software engineering experience, particularly in Python and/or Kotlin/JVM.\n Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.\n Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.\n Familiarity with LLM evaluation and benchmarking.\n A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.\n Strong communication skills and the ability to influence technical direction without formal authority.\n A strong product sense and care about solving real user problems, not just building interesting technology.\n \n  \n Nice to have: \n \n Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.\n Experience with the Python AI/ML ecosystem.\n \n  \n Why join JetBrains?  \n \n Strong base salary. We offer competitive pay that reflects your skills and experience.\n Flexible work location. Enjoy the freedom to work from home or from the office.\n Remote work. Spend up to 30 days per year working remotely from abroad.\n Extra time off. More days to relax, recharge, and do the things you love.\n Medical insurance allowance. Enjoy peace of mind for you and your family\n Learning and development opportunities. Access to conferences, courses, and language classes.\n Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role) \n Language classes. Pick up the local language or sharpen your English skills.\n Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.\n Mental health support. To help you feel your best, we provide easy access to professional mental health services.\n Sports benefit. Enjoy an on-site gym or sports club stipend.\n Internal events. Join company-wide celebrations and team gatherings.\n \n *Some benefits may vary depending on location.\n  \n #LI-DNI  \n We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.\n We process the data provided in your job application in accordance with the Recruitment Privacy Policy.","location":"Amsterdam, Netherlands","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["llm","python"],"apply_url":"https://job-boards.eu.greenhouse.io/jetbrains/jobs/4845538101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-29T06:28:21Z","expires_at":"2026-06-29T14:19:44.187613Z","created_at":"2026-04-30T05:59:27.262247Z","updated_at":"2026-05-30T14:19:44.294555Z","company_name":"JetBrains","company_slug":"jetbrains","company_logo_url":"https://www.google.com/s2/favicons?domain=jetbrains.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/70442333-ca6b-4db3-ac66-8997d0734f18"},{"id":"a77c9a37-a9c7-4d06-b4bd-61157d4954ca","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Staff Backend (Python) Engineer, AI Engineering:Duo Chat","slug":"staff-backend-python-engineer-ai-engineeringduo-chat-295dd2ae","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n An overview of this role \n As a  Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.\n Some examples of our projects: \n \n Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality\n Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale\n \n What you'll do \n \n Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities\n Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance\n Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI\n Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform\n Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations\n Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices\n Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt\n Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)\n \n What you'll bring \n \n Production experience building and operating backend services in Python, including background jobs, APIs, and data models\n Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow\n Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders\n Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility\n Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI\n Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling\n Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way\n Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related te","location":"Remote","workplace":"remote","job_type":"full-time","experience_level":"lead","tags":["api-design","llm","generative-ai","python","backend"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8450446002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-10T14:38:26Z","expires_at":"2026-06-29T14:08:38.732075Z","created_at":"2026-04-13T11:48:24.617378Z","updated_at":"2026-05-30T14:08:38.84401Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/a77c9a37-a9c7-4d06-b4bd-61157d4954ca"},{"id":"78343a37-e97e-4166-98d5-8643215592b2","company_id":"80d472d9-3023-49fc-ad9f-e62698f24d9c","title":"Backend Software Engineer, Python","slug":"backend-software-engineer-python-7f500943","description":"THIS IS CRADLE\n\nProteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.\n\nMachine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia.\n\nWe're an experienced team of around 90 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture.\n\nWe offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities.\n\n\nWHAT WE ARE LOOKING FOR\n\nWe're looking for backend software engineers who are excited to peek out of the virtual world and join us on designing a platform for optimizing biological systems! Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity.\n\n\n\nResponsibilities\n\nAs a backend software engineer, you will be responsible for designing and developing a service-oriented decoupled web application, which exposes our advanced machine learning models to scientific end users.\n\nFor example, this means:\n\n- Architecting the ways in which we manipulate and store biological sequence data, e.g. with consideration for how to efficiently represent the full variety of biochemicals. (Prior biological experience is nice but not required.)\n\n- Architecting the APIs across which we interact with machine learning models, e.g. with consideration for how to version access over time.\n\n- Providing technical leadership for a high-quality software engineering process.\n\n- Collaborating with biologists, machine learning experts, and scientists alike, and becoming skilled in working in their domains.\n\n\n\nSkillset\n\nWe are looking for some selection of the following skills:\n\n\n\n- Extensive industry experience in developing back-end systems in a modern cloud environment.\n\n- The Python programming language and its ecosystem (FastAPI, uv, ruff, pyright, …).\n\n- Databases and big data systems.\n\n- Production systems for machine learning applications.\n\n- Building containerized backend systems. (Docker, Kubernetes).\n\n- Highly-available distributed cloud systems.\n\n- You are kind and work well in teams. We look for team players and excellent communicators who contribute to a positive and friendly working environment.\n\n\n\nOur commitment to inclusive hiring\n\nCradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply.\n\n\n\nAI disclosure\n\nCradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team.\n\n\n\nA notice about recruitment scams\n\nPlease be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.\n\n","location":"Zurich, Switzerland","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["python","backend"],"apply_url":"https://jobs.ashbyhq.com/cradlebio/ae6e6352-28e5-4b2f-b1d9-da7da078f011/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-09T07:26:19.057Z","expires_at":"2026-06-29T14:12:22.270443Z","created_at":"2026-04-16T14:45:59.107168Z","updated_at":"2026-05-30T14:12:22.381865Z","company_name":"Cradle","company_slug":"cradle","company_logo_url":"https://www.google.com/s2/favicons?domain=cradle.bio\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/78343a37-e97e-4166-98d5-8643215592b2"},{"id":"d3d1bf9e-9deb-4c46-9576-8e3858a533d9","company_id":"940de2b3-9e87-498f-b201-cdf3572066b2","title":"Senior Python Engineer (Public API \u0026 FastAPI) ","slug":"senior-python-engineer-public-api-fastapi-37f50a05","description":"ABOUT US\n\nFounded in 2019 and part of Y Combinator's 2020 cohort, Photoroom https://www.photoroom.com is the leading visual solution for e-commerce.\n\nWe've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API.\n\nWe're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide.\n\n\n\nSenior Python Engineer – Public API\n\n\nCompensation: Competitive + Stock-Options/BSPCE (local currency)\n\nLocation: Remote with monthly Paris office visits (fully reimbursed). We can hire people already based in selected countries only: France, Germany, Ireland, Italy, Portugal, Spain, UK\n\n*We can go higher for outstanding profiles and adjust for the cost of living where needed.\n\n \n\nAbout the Role\n\n - You will design, build, and evolve our public API product — the core interface through which developers access Photoroom's AI capabilities.\n\n - Public API experience is a must-have.\n\n - You will ship features used by both self-serve developers and large enterprise customers, ensuring the API remains reliable, scalable, and easy to integrate.\n\n - You will own the API surface end-to-end: from design decisions (naming, versioning, structure) to implementation, performance, and long-term maintainability.\n\n - You will iterate quickly based on real usage — we ship multiple times per week — using data and user feedback to prioritise what matters most.\n\n - You will work at the intersection of backend engineering and AI, abstracting complex image models into simple, elegant developer-facing interfaces.\n\n - You will collaborate closely with product, machine learning, backend, and sales teams to ensure the API delivers real value to users.\n\nYou will join a small, senior team with high ownership and direct product impact from day one.\n\n\nAbout You\n\n - You have strong experience building backend systems in Python, with a focus on APIs used by external consumers (not just internal services).\n\n - You are comfortable with FastAPI (or similar frameworks) and have worked with async patterns, concurrency, and production debugging.\n\n - You have owned or significantly contributed to the design of public-facing APIs — thinking about versioning, consistency, and long-term evolution.\n\n - You care deeply about reliability, performance, and developer experience.\n\n - You are pragmatic and product-minded — you prioritise impact and speed, and avoid over-engineering.\n\n - You take ownership and are comfortable making decisions, while collaborating closely with cross-functional teams.\n\n - You have worked in high-performing teams, ideally in fast-paced or start-up environments.\n\n - You communicate clearly and can translate technical decisions into something others can understand.\n   \n\nBonus Points\n\n - Experience with API deployment patterns (Docker, uvicorn/gunicorn, health checks, etc.)\n\n - Experience with image processing libraries (Pillow, pyvips…)\n\n - Experience integrating AI/image models behind APIs (latency, inference, abstraction)\n\n - Experience with Node.js (current API is being migrated)\n\n - Experience building integrations or developer-facing tooling\n\nIf you think you have what it takes but don't meet every single point above, please still apply. We'd love to chat and see if you could be a great fit.\n\n\nBenefits\n\n - Work flexibly from Germany, UK, Italy, France, Ireland, Portugal, or Spain, with monthly Paris office visits (fully reimbursed)\n\n - Regular team gatherings, including in-person onboarding in Paris (1–2 weeks), yearly company offsite and team retreat, quarterly in-person meetings, and social events\n\n - 30 days annual leave plus local public holidays\n\n - Competitive equity package with stock options/BSPCE, giving you ownership in our growing company\n\n - €1,000 one-time home office grant OR €400/month co-working space stipend (remote outside Paris)\n\n - €1,000 annual learning and development budget for training, courses, books, and skill development\n\n - Private health insurance\n\n - Relocation support (up to €10,000) for those choosing to move to France, including apartment finding and visa assistance\n\n - Access to personalised mental health support, including 1:1 sessions with therapists or coaches, self-care tools, and well-being resources via MokaCare\n\n - Sports and cultural activities reimbursement\n\n \n\nNote: Visa sponsorship and relocation support are only available for positions based in France. We cannot sponsor visas for remote positions outside of France.\n\n\nHiring Process\n\n 1. Screening call\n\n 2. Technical interview\n\n 3. Take-home assignment + review\n\n 4. Final interviews and meet the team\n\n 5.","location":"Paris, France","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["python"],"apply_url":"https://jobs.ashbyhq.com/photoroom/e99ca21d-279b-4a0f-8f71-d728e5c6f040/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T11:46:35.029Z","expires_at":"2026-06-29T14:06:27.368604Z","created_at":"2026-05-27T14:06:46.561125Z","updated_at":"2026-05-30T14:06:27.482218Z","company_name":"PhotoRoom","company_slug":"photoroom","company_logo_url":"https://www.google.com/s2/favicons?domain=photoroom.com\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/d3d1bf9e-9deb-4c46-9576-8e3858a533d9"},{"id":"92028376-84a5-4bca-b991-dc7dc36dc305","company_id":"9a44a6cd-4b67-47b3-b209-7f794b08c799","title":"Member of Technical Staff - Product Eng (Python)","slug":"member-of-technical-staff-product-eng-python-8a9ac047","description":"At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools.\n\n\n\nWe raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR, our customer range from your friends in the YC batch to Wabi, Glean, Zoom and many more.\n\n\n\n\n\n\n\nWHAT YOU'LL DO?\n\n - elevate the experience of teams building on us, by improving our core APIs and SDK\n\n - deliver elegant interfaces both on the frontend and the sdk\n\n - own product end to end, taking them from inception to production\n\n - work closely with customers to win their hearts, improving the product in the process\n\n - writing crisp articulate docs\n\n\n\n\n\"MUST HAVES\"\n\nif you are very good, nothing is a must per-se\n\n - core product engineering\n   \n   - you have build product, taking them zero to one\n   \n   - you care deeply about the craft of the product you are building\n   \n   - you are able to hold many different persona at contention while delivering delightful experiences for them\n\n - ai native\n   \n   - you have built with the language models\n   \n   - you have built for the language models\n\n - python\n   \n   - you have mastery of the language, deeply understanding what is and isn't idiomatic python\n   \n   - you have built best in class developer experience in python\n\n - taste https://www.are.na/editorial/notes-on-taste — you have that \"finger feel\" what makes a good product.\n\n - typist — you can write docs well and explain complex ideas clearly\n\n - human — you build trust and admit what you don’t know\n\n\n\n\nOPTIONAL\n\n - contributions to a major open source project\n\n - started companies or build large side projects","location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["python"],"apply_url":"https://jobs.ashbyhq.com/composio/a226d878-a807-4d65-8192-5de607a3dce9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-10T05:56:30.577Z","expires_at":"2026-06-29T14:07:55.799525Z","created_at":"2026-04-13T09:44:27.823287Z","updated_at":"2026-05-30T14:07:55.919895Z","company_name":"Composio","company_slug":"composio","company_logo_url":"https://www.google.com/s2/favicons?domain=composio.dev\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/92028376-84a5-4bca-b991-dc7dc36dc305"},{"id":"5dd686ae-e141-4ac6-b97e-cfa4a69ae58e","company_id":"a0000000-0000-0000-0000-000000000019","title":"Member of Technical Staff - Python SDK","slug":"member-of-technical-staff-python-sdk-e6d06fa6","description":"ABOUT US:\n\nModal 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.\n\nWe're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B https://modal.com/blog/announcing-our-series-b at a $1.1B valuation. Our investors include Lux Capital https://www.luxcapital.com/, Redpoint Ventures https://www.redpoint.com/, Amplify Partners https://www.amplifypartners.com/, and Elad Gil https://eladgil.com/.\n\nWorking 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 https://github.com/mwaskom/seaborn, Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.\n\n\n\n\nTHE ROLE:\n\nWe’re looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity.\n\n\n\n\nREQUIREMENTS:\n\n - 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software.\n\n - Knowledge of advanced Python features, especially async programming.\n\n - A strong product sense that manifests as a focus on developer ergonomics and productivity.\n\n - A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.\n\n - Ability to participate in on-call rotation and respond to production incidents.\n\n - Ability to work in-person in our NYC or Stockholm office.\n\n - Any of the following would be a plus:\n   \n   - Familiarity with modern data / ML / AI tools and workflows\n   \n   - Experience with Typescript, Go, or Rust","location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["python"],"apply_url":"https://jobs.ashbyhq.com/modal/265d6127-dd34-433b-819a-1f935572c7d8/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-08-22T14:44:09.061Z","expires_at":"2026-06-29T14:01:41.253715Z","created_at":"2026-04-13T09:37:30.68939Z","updated_at":"2026-05-30T14:01:41.365051Z","company_name":"Modal","company_slug":"modal","company_logo_url":"https://www.google.com/s2/favicons?domain=modal.com\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/5dd686ae-e141-4ac6-b97e-cfa4a69ae58e"},{"id":"e80ab21d-a914-4d7c-b1e4-6f4e18c796e6","company_id":"ed35c6be-922e-4cea-9fd1-a9fd1e51e6a0","title":"Open Source Engineer - Python","slug":"open-source-engineer-python-f59a27a4","description":"ABOUT THE COMPANY\n\nBraintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it.\n\nTeams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions — turning production data into better AI with every release.\n\n\nABOUT THE ROLE\n\nWe’re hiring engineers to build the open-source libraries that customers use to observe, understand, and optimize how AI operates inside their production applications. These SDKs are a critical part of Braintrust’s platform. They power evaluation and observability pipelines across a wide range of environments, frameworks, and AI providers.\n\nThis role is ideal for engineers who are passionate about developer experience, API craftsmanship, and building fast, reliable, and idiomatic libraries. You’ll own the full SDK lifecycle: design, implementation, release, documentation, and community support. Your work will be embedded in thousands of applications and help define how AI is adopted and operationalized across industries.\n\n\nWHAT YOU’LL DO\n\n - Build elegant, idiomatic, and resilient SDKs that power Braintrust’s LLM evaluation and AI observability platform.\n\n - Ensure our libraries are easy to use, efficient to run, and a delight to work with, prioritizing developer experience and performance.\n\n - Integrate with major AI providers, frameworks, and platforms our customers rely on, such as OpenAI, Anthropic, and Gemini.\n\n - Build tools and automation to improve testing, profiling and simplify release workflows.\n\n - Collaborate closely with backend, platform, and product teams to ensure a cohesive and polished developer experience.\n\n - Be a great community ambassador: talk with our users, understand their issues, help them get their fixes merged and have deep empathy for our users.\n\n\nYOU MIGHT BE A FIT IF YOU:\n\n - Are customer-obsessed and passionate about solving real-world problems for developers.\n\n - Have deep expertise in Python and understand what it takes to build fast, idiomatic, and reliable libraries in that ecosystem.\n\n - Are proficient with the tooling needed to build robust SDKs, such as testing frameworks, profilers, CI/CD pipelines, and packaging systems.\n\n - Care deeply about developer experience, from clean APIs and clear docs to thoughtful error handling and backward compatibility.\n\n - Know how to wrap, patch, or extend existing frameworks and SDKs to inject observability and control without breaking developer workflows.\n\n - Have experience maintaining or contributing to production-grade open-source libraries, ideally used across multiple environments.\n\n - Bonus: You’ve contributed to popular open source projects, led SDK adoption at your organization, are familiar with tracing and observability tools like OpenTelemetry, or worked on tools in the LLM/AI ecosystem.\n\n\nBENEFITS INCLUDE\n\n - Medical, dental, and vision insurance\n\n - Daily lunch, snacks, and beverages\n\n - Flexible time off\n\n - Competitive salary and equity\n\n - AI Stipend\n\n\nEQUAL OPPORTUNITY\n\nBraintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.","location":"Remote","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["payments","llm","python"],"apply_url":"https://jobs.ashbyhq.com/braintrust/ba4d6676-f65c-42c9-84ee-285f2da15e0d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-07-28T20:16:17.267Z","expires_at":"2026-06-29T14:06:31.878541Z","created_at":"2026-04-13T09:42:44.750339Z","updated_at":"2026-05-30T14:06:31.984768Z","company_name":"Braintrust","company_slug":"braintrust","company_logo_url":"https://www.google.com/s2/favicons?domain=braintrust.dev\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/e80ab21d-a914-4d7c-b1e4-6f4e18c796e6"}],"page":1,"per_page":20,"total":18,"total_pages":1}