{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.\n With offices worldwide and over 67,000 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","salary_min":137000,"salary_max":189000,"location":"British Columbia","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","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":"2026-09-28T13:40:01.009711Z","created_at":"2026-04-13T11:48:36.260829Z","updated_at":"2026-08-29T13:40:01.163855Z","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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.\n With offices worldwide and over 67,000 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","salary_min":126000,"salary_max":248000,"location":"United States","workplace":"onsite","remote_scope":"not_remote","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":"2026-09-28T13:40:00.907813Z","created_at":"2026-04-13T11:48:36.181948Z","updated_at":"2026-08-29T13:40:01.066902Z","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","remote_scope":"not_remote","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":"2026-09-28T13:32:09.875721Z","created_at":"2026-04-13T09:37:32.406948Z","updated_at":"2026-08-29T13:32:10.025191Z","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":"1818f655-e35c-4b9e-8031-c816c7c89a7a","company_id":"f9d74e0d-605a-46ba-bd1e-1f532198450a","title":"Senior Software Engineer (Python)","slug":"senior-software-engineer-python-5e4ed170","description":"First and most importantly: our mission is to bring transparency and clarity to the world's data.\n Our platform, FiftyOne, is where AI work happens . Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies.\n We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 4 million downloads to-date.\n Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture , we are at the thrilling center of real-world AI advancement’s next wave.\n And we’re built on three key tenets:\n \n We are all human beings : we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve. \n We are distributed : we believe in getting autonomy and power into the hands of people actually doing the work\n We believe in the power of community \n \n We are fully remote, hiring for people based in the United States, and who are prepared to travel to at least 2 in-person retreats per year.\n About your role \n As a Senior Software Engineer at Voxel51, you’ll collaborate with a team that delivers features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle. You’ll build clean, scalable APIs and solve unique challenges that arise when working with unstructured data (images and video). You’ll have the opportunity to contribute to a thriving open source community while also emphasizing enterprise-grade engineering for our commercial products.\n What you will do \n \n Develop our open source SDK, as well as our enterprise APIs, UIs, and backend systems.\n Help us scale our enterprise solution (deployed into customer’s own cloud and on prem) to support the largest vision AI datasets in existence, supporting individual researchers to Fortune 500 companies; processing petabytes of data.\n Write production code that is maintainable, flexible, performant, and well tested.\n Contribute to the department through tooling, automation, and best practices.\n \n What you should bring \n \n 8+ years of professional full-stack software engineering experience developing maintainable and scalable systems and software architectures.\n BS or MS in computer science or a related field.\n Expertise with Python.\n Expertise with NoSQL databases (MongoDB, DocumentDB, Elasticsearch).\n Experience maintaining or contributing to open source projects (or the passion to start!).\n Ability to work in a remote-first, collaborative environment.\n Experience with Typescript is an asset.\n \n The cash compensation for this person is in the $200K - $225K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.","salary_min":200000,"salary_max":225000,"location":"Remote","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["search","autonomous-vehicles","python"],"apply_url":"https://voxel51.com/jd/?4726882005\u0026gh_jid=4726882005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T14:20:59Z","expires_at":"2026-09-28T13:47:22.435778Z","created_at":"2026-08-25T18:32:23.935355Z","updated_at":"2026-08-29T13:47:22.58537Z","company_name":"Voxel51","company_slug":"voxel51","company_logo_url":"https://www.google.com/s2/favicons?domain=voxel51.com\u0026sz=128","quality_score":80,"url":"https://aidevboard.com/job/1818f655-e35c-4b9e-8031-c816c7c89a7a"},{"id":"c2cf61c5-e331-47d0-b6b2-75a42d02c8e5","company_id":"9d355471-83aa-4d50-9478-2ac3cc40e215","title":"Staff Backend Software Engineer - GO \u0026 Python","slug":"staff-backend-software-engineer-python-go-e04d2dec","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 building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high fidelity multi physics simulation through AI inference.\n We are looking for a Senior (potentially Staff level, depending on the candidate) Software Engineer to join the AI Workbench platform team. This is a software engineering role, not an ML research role. You do not need to be a practising ML engineer, but you do need to be fluent in the language of ML and data platforms, ideally through prior hands on experience with ML platforms or data science work.\n The team sits in a highly infrastructure heavy domain without being an infrastructure team itself. A large part of the role is building strong working relationships with the infrastructure team and owning the work that falls in the space between the two, where ownership is not always clearly defined. You will also play a key role in mentoring and developing engineers across the team, some of whom are early career and some mid career.\n Note for candidates: PhysicsX is currently going through a team reorganisation. The scope of this role may evolve as team structures settle, and we have kept this description intentionally broad rather than narrowly tailored to today's team shape.\n What You Will Do\n \n Design and build distributed systems, services, and APIs for high dimensional simulation data across the machine learning lifecycle, from data processing and model training to inference services.\n Own work end to end in a domain where responsibilities often sit between the AIWB platform team and the wider infrastructure team, and proactively build the relationships needed to manage that ambiguity well.\n Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing, powering active learning loops.\n Architect and integrate storage solutions, data warehouses, and data lakes to handle the demands of complex simulations, multimodal data, and deep learning workloads.\n Deploy and support services across more than one production environment, including cloud and on premises or air gapped customer environments.\n Define system architecture for new capabilities, making trade offs across performance, reliability, cost, and developer experience.\n Author and review Technical Decision Records and contribute to Technology Radar reviews.\n Mentor and support the growth of engineers across the team, including those earlier in their careers, and act as a technical role model.\n Remain genuinely hands on. Writing code stays part of the job at every level, this is not a purely managerial track.\n Communicate clearly and confidently with a wide range of stakeholders and personalities across engineering, delivery, and customer facing teams.\n \n What You Bring to the Table\n \n A passion for the craft. You are driven by engineering excellence and enjoy building things properly, not just shipping quickly.\n Strong Kubernetes experience. This is a must have, including comfort with CRDs, Operators, and infrastructure configuration tools such as Helm or ArgoCD.\n Strong command of Go, plus working knowledge of Python. Comfort with Rust is also valued. Experience across Kubernetes, Go, Python, and Rust is ideal.\n Experience deploying and supporting services in more than one production environment, not just a single deployment target.\n An ML platform background or prior data science experience, even if you have since moved into pure software engineering. You understand how ML practitioners and researchers think and talk about problems.\n Intellectual curiosity and a proactive approach. You do not need to be told what to do next.\n Strong communication and organisational skills, with experience operating at a senior or staff level, or equivalent people leadership experience, in a comparable engineering organisation.\n Comfort with ambiguity and an adaptable, startup minded approach. PhysicsX moves quickly and priorities shift, and we are looking for people who thrive in that environment rather than finding it difficult.\n Prior experience mentoring or developing other engineers.\n \n Ideally\n \n Experience at an ML focused startup or platform company, or a str","location":"London, UK","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","healthcare","deep-learning","distributed-systems","go","python","backend"],"apply_url":"https://job-boards.eu.greenhouse.io/physicsx/jobs/4958818101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T13:24:07Z","expires_at":"2026-09-28T13:46:53.916238Z","created_at":"2026-08-26T13:45:33.015386Z","updated_at":"2026-08-29T13:46:54.072433Z","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/c2cf61c5-e331-47d0-b6b2-75a42d02c8e5"},{"id":"c1cd71bb-3297-485c-83f1-f4bd3b6e42d4","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Senior Backend Engineer (Python), Agent Developer: Flow Components","slug":"senior-backend-engineer-python-agent-developer-flow-components-dbe645d8","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 Senior Backend Engineer on the Flow Components functional team , you'll help build GitLab's Flow Registry, which provides reusable primitives for agentic flows built on the GitLab Duo Agent Platform. Your primary focus will be backend engineering in Python, using LangChain and LangGraph to develop secure, reliable, and scalable capabilities across the Duo Workflow Service and the GitLab monolith. You'll also work across the stack when needed, bringing familiarity with JavaScript and frontend development to support the official GitLab Duo Agent Platform client, Duo CLI, and advocate for a strong user experience.\n What you’ll do\n \n Develop, ship, and maintain secure, well-tested, and performant Flow Registry features across the Duo Workflow Service and the GitLab monolith backend.\n Collaborate with Product Management, User Experience, frontend, backend, and artificial intelligence specialists to refine requirements and deliver iterative product improvements.\n Design, implement, and review GraphQL and REST application programming interfaces, related backend logic, and clear contracts with frontend clients.\n Improve automated testing with RSpec and other frameworks to strengthen quality, reliability, and developer feedback loops.\n Share standards, patterns, and lessons with other engineers to support responsible artificial intelligence integration and evidence-driven engineering.\n Participate in Tier 2 on-call rotations, troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency.\n Monitor the competitive landscape and help keep GitLab's Flow Registry primitives and capabilities competitive within the agentic platform market.\n \n What you’ll bring\n \n Experience building and maintaining production Python applications with LangChain and LangGraph, including background jobs, application programming interfaces, and data models.\n Experience designing and shipping artificial intelligence-powered backend features and integrations, with sound judgment about large language model limitations and responsible production use.\n Proficiency in designing or extending REST and GraphQL application programming interfaces with attention to scalability, maintainability, and backward compatibility.\n Strong SQL skills and familiarity with relational databases such as PostgreSQL, including efficient queries and data modeling.\n Comfort working across the stack in a mature codebase and addressing performance bottlenecks at the application and, when relevant, infrastructure layers.\n Familiarity with JavaScript and Vue frontend development, with an understanding of user experience principles.\n Clear written and verbal communication skills, including experience writing technical proposals and documentation and collaborating in a remote, asynchronous, cross-functional environment.\n Openness to learning and applying transferable skills from related technologies or domains.\n \n About the team\n We work across backend, frontend, User Experience, Product Management, and artificial intelligence disciplines to improve capabilities such as Memory and Duo Developer and support clients including Duo CLI. We collaborate in GitLab's remote, asynchronous environment to build reliable components that help people create and use agentic workflows.\n How GitLab Supports Full-Time Employees \n \n Benefits to support your health, finances, and well-being \n Flexible Paid Time Off  \n Team Member Resource Groups \n Equity Compensation \u0026 Employee Stock Purchase Plan \n Growth and Development Fund \n Parental Leave  \n \n Please note that we welcome int","location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","agents","llm","python","backend"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8704363002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T13:38:27Z","expires_at":"2026-09-28T13:39:45.385907Z","created_at":"2026-08-25T18:28:58.994744Z","updated_at":"2026-08-29T13:39:45.539217Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/c1cd71bb-3297-485c-83f1-f4bd3b6e42d4"},{"id":"30161216-ea37-4773-bc3a-f05ed9711616","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Staff Fullstack Engineer (Python, React/TS) - AI Apps","slug":"senior-staff-fullstack-engineer-python-reactts-ai-apps-e23bbaa5","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Senior Staff Forward Deployed Engineer, you will be tasked with extending SentinelOne's engineering capacity directly into the departments that need it most — Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you'll embed with the stakeholders who own a problem, scope it end-to-end, and ship a working custom application into their hands — often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the exceptional technical judgment to know when to build, when to reuse, and when to say no. You'll operate as a trusted, staff-level technical partner to functional leaders, turning highly ambiguous business needs into production-grade software that sticks.\n What Will You Do?\n Primary responsibilities include:\n \n Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.\n Scope, design, and build full-stack custom applications — not just automations or scripts — using modern frameworks (typically Python, FastAPI, Pydantic, React/TypeScript, but also others), AI coding assistants, as well as internal platform APIs, and AI gateway, moving from prototype to production quickly.\n Own delivery end to end: high-level technical architecture, build, testing, deployment, and the training/handoff that gets a department to actually adopt what you built.\n Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.\n Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and executive leadership.\n Partner with IT, Security, and Data teams so every deployed application meets SentinelOne's standards for data security, compliance, and long-term supportability.\n Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.\n Feed field learnings back to platform, product, and data teams — what worked, what broke, and what the next generation of internal tools should look like.\n Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have:\n \n 8+ years of professional software engineering experience, with a demonstrated ability to independently architect, design, build, and ship full-stack applications (frontend and backend).\n Deep proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and strong frontend capability (React/TypeScript) to build usable, highly polished internal tools without waiting on a dedicated design or frontend team.\n Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to drastically accelerate development, plus an expert understanding of APIs, webhooks, data structures, and integration patterns.\n A proven track record of working directly with senior non-tec","location":"Slovakia","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","llm","python","fullstack","frontend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7816815003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-26T18:24:05Z","expires_at":"2026-09-28T13:50:55.137674Z","created_at":"2026-07-28T14:19:41.002024Z","updated_at":"2026-08-29T13:50:55.301911Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/30161216-ea37-4773-bc3a-f05ed9711616"},{"id":"6dcdb3cf-6a62-4411-a95d-5070ff72f790","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Staff Fullstack Engineer (Python, React/TS) - AI Apps","slug":"senior-staff-fullstack-engineer-python-reactts-ai-apps-d7399f29","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Senior Staff Forward Deployed Engineer, you will be tasked with extending SentinelOne's engineering capacity directly into the departments that need it most — Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you'll embed with the stakeholders who own a problem, scope it end-to-end, and ship a working custom application into their hands — often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the exceptional technical judgment to know when to build, when to reuse, and when to say no. You'll operate as a trusted, staff-level technical partner to functional leaders, turning highly ambiguous business needs into production-grade software that sticks.\n What Will You Do?\n Primary responsibilities include:\n \n Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.\n Scope, design, and build full-stack custom applications — not just automations or scripts — using modern frameworks (typically Python, FastAPI, Pydantic, React/TypeScript, but also others), AI coding assistants, as well as internal platform APIs, and AI gateway, moving from prototype to production quickly.\n Own delivery end to end: high-level technical architecture, build, testing, deployment, and the training/handoff that gets a department to actually adopt what you built.\n Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.\n Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and executive leadership.\n Partner with IT, Security, and Data teams so every deployed application meets SentinelOne's standards for data security, compliance, and long-term supportability.\n Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.\n Feed field learnings back to platform, product, and data teams — what worked, what broke, and what the next generation of internal tools should look like.\n Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have:\n \n 8+ years of professional software engineering experience, with a demonstrated ability to independently architect, design, build, and ship full-stack applications (frontend and backend).\n Deep proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and strong frontend capability (React/TypeScript) to build usable, highly polished internal tools without waiting on a dedicated design or frontend team.\n Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to drastically accelerate development, plus an expert understanding of APIs, webhooks, data structures, and integration patterns.\n A proven track record of working directly with senior non-tec","location":"Brno, South Moravian, Czech Republic","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","security","python","fullstack","frontend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7816814003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-26T18:23:13Z","expires_at":"2026-09-28T13:50:55.047385Z","created_at":"2026-07-28T14:19:41.080034Z","updated_at":"2026-08-29T13:50:55.211729Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/6dcdb3cf-6a62-4411-a95d-5070ff72f790"},{"id":"06abee10-bfd8-4976-8b35-859f440a2b7f","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Staff Fullstack Engineer (Python, React/TS) - AI Apps","slug":"senior-staff-fullstack-engineer-python-reactts-ai-apps-81bc3aba","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Senior Staff Forward Deployed Engineer, you will be tasked with extending SentinelOne's engineering capacity directly into the departments that need it most — Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you'll embed with the stakeholders who own a problem, scope it end-to-end, and ship a working custom application into their hands — often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the exceptional technical judgment to know when to build, when to reuse, and when to say no. You'll operate as a trusted, staff-level technical partner to functional leaders, turning highly ambiguous business needs into production-grade software that sticks.\n What Will You Do?\n Primary responsibilities include:\n \n Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.\n Scope, design, and build full-stack custom applications — not just automations or scripts — using modern frameworks (typically Python, FastAPI, Pydantic, React/TypeScript, but also others), AI coding assistants, as well as internal platform APIs, and AI gateway, moving from prototype to production quickly.\n Own delivery end to end: high-level technical architecture, build, testing, deployment, and the training/handoff that gets a department to actually adopt what you built.\n Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.\n Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and executive leadership.\n Partner with IT, Security, and Data teams so every deployed application meets SentinelOne's standards for data security, compliance, and long-term supportability.\n Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.\n Feed field learnings back to platform, product, and data teams — what worked, what broke, and what the next generation of internal tools should look like.\n Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have:\n \n 8+ years of professional software engineering experience, with a demonstrated ability to independently architect, design, build, and ship full-stack applications (frontend and backend).\n Deep proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and strong frontend capability (React/TypeScript) to build usable, highly polished internal tools without waiting on a dedicated design or frontend team.\n Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to drastically accelerate development, plus an expert understanding of APIs, webhooks, data structures, and integration patterns.\n A proven track record of working directly with senior non-tec","location":"Prague, Czech Republic","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","security","fullstack","python","frontend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7816813003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-26T18:22:42Z","expires_at":"2026-09-28T13:50:54.951368Z","created_at":"2026-07-28T14:19:41.162892Z","updated_at":"2026-08-29T13:50:55.117791Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/06abee10-bfd8-4976-8b35-859f440a2b7f"},{"id":"0b35d175-43c9-445d-aa54-4f7ba23e41f9","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Staff Fullstack Engineer (Python, React/TS) - AI Apps","slug":"senior-staff-fullstack-engineer-python-reactts-ai-apps-a828a364","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Senior Staff Forward Deployed Engineer, you will be tasked with extending SentinelOne's engineering capacity directly into the departments that need it most — Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you'll embed with the stakeholders who own a problem, scope it end-to-end, and ship a working custom application into their hands — often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the exceptional technical judgment to know when to build, when to reuse, and when to say no. You'll operate as a trusted, staff-level technical partner to functional leaders, turning highly ambiguous business needs into production-grade software that sticks.\n What Will You Do?\n Primary responsibilities include:\n \n Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.\n Scope, design, and build full-stack custom applications — not just automations or scripts — using modern frameworks (typically Python, FastAPI, Pydantic, React/TypeScript, but also others), AI coding assistants, as well as internal platform APIs, and AI gateway, moving from prototype to production quickly.\n Own delivery end to end: high-level technical architecture, build, testing, deployment, and the training/handoff that gets a department to actually adopt what you built.\n Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.\n Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and executive leadership.\n Partner with IT, Security, and Data teams so every deployed application meets SentinelOne's standards for data security, compliance, and long-term supportability.\n Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.\n Feed field learnings back to platform, product, and data teams — what worked, what broke, and what the next generation of internal tools should look like.\n Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.\n \n What Skills and Knowledge Will You Bring?\n Ideal candidates will have:\n \n 8+ years of professional software engineering experience, with a demonstrated ability to independently architect, design, build, and ship full-stack applications (frontend and backend).\n Deep proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and strong frontend capability (React/TypeScript) to build usable, highly polished internal tools without waiting on a dedicated design or frontend team.\n Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to drastically accelerate development, plus an expert understanding of APIs, webhooks, data structures, and integration patterns.\n A proven track record of working directly with senior non-tec","location":"Czech Republic","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","llm","frontend","fullstack","python"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7816812003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-26T18:22:25Z","expires_at":"2026-09-28T13:50:55.22919Z","created_at":"2026-07-28T14:19:41.248193Z","updated_at":"2026-08-29T13:50:55.395826Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/0b35d175-43c9-445d-aa54-4f7ba23e41f9"},{"id":"99f8261e-5ceb-44af-96af-7240b564ee1f","company_id":"3710cf92-3533-4d44-8ae4-7a21c79c5fb6","title":"Senior Backend Engineer - AI Framework (Python)","slug":"senior-backend-engineer-ai-framework-python-3d472ba4","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 As a Senior Backend Engineer on Gong’s AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power Gong’s agentic ecosystem.\n  \n You’ll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across Gong, making your impact immediate and company-wide.\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 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 Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.\n  \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 How You’ll Succeed Here \n \n 7+ years of backend engineering experience, with strong system design and platform-building expertise.\n Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently.\n Hands-on experience designing and building agentic systems or agent frameworks in production, including orchestration, tool usage, memory management, and multi-step workflows.\n Experience extending or building frameworks on top of tools like LangChain, LangGraph, ADK, or similar agent orchestration frameworks.\n Experience designing, implementing, and operating production-grade AI agents , including handling failure modes, retries, observability, and real user traffic.\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","location":"Tel Aviv, Israel","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","distributed-systems","microservices","alignment","python","backend"],"apply_url":"https://job-boards.greenhouse.io/gongio/jobs/4668007006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-29T06:54:29Z","expires_at":"2026-09-28T13:44:02.483545Z","created_at":"2026-06-29T14:12:05.284331Z","updated_at":"2026-08-29T13:44:02.635592Z","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/99f8261e-5ceb-44af-96af-7240b564ee1f"},{"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","remote_scope":"unknown","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":"2026-08-30T14:08:57.568603Z","created_at":"2026-04-13T09:44:30.084264Z","updated_at":"2026-07-31T14:08:57.755451Z","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":"c975dff1-9a6c-4770-ac44-157b7da72382","company_id":"001b54ce-7a42-48ed-9cc0-c35aa150b628","title":"AI Backend Developer, Binance Square (Java, Golang, Python)","slug":"ai-backend-developer-binance-square-java-golang-python-42219286","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\n\nAbout the team\n \nBinance Square is a social content and discovery platform within the Binance ecosystem, serving millions of users with real-time market insights, creator-driven content, and AI-powered recommendations. The AI \u0026 Data Services team builds the backend infrastructure that powers content discovery, personalized feeds, and intelligent data services across the platform.\n","location":"Taipei, Taiwan","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"mid","tags":["payments","python","backend","go"],"apply_url":"https://jobs.lever.co/binance/517f9531-86cc-4260-924f-6240e4bf8b36/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2023-02-07T03:53:00.653Z","expires_at":"2026-09-28T13:42:26.831469Z","created_at":"2026-07-30T14:11:54.328753Z","updated_at":"2026-08-29T13:42:26.985832Z","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/c975dff1-9a6c-4770-ac44-157b7da72382"},{"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 just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues.\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\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\n\nRESPONSIBILITIES\n\nAs a Backend 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\nBy way of some examples, this means:\n\n - Architecting the ways in which we manipulate and store data, e.g. with consideration for how to efficiently store and represent protein sequences and associated metadata, machine learning model predictions, etc. \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 - Collaborating with biologists, machine learning experts, and scientists alike, and becoming skilled in working in their domains.\n   \n   \n\n\nWHAT YOU BRING\n\nWe are looking for some selection of the following skills:\n\n - You are a fast learner. You can rapidly absorb whatever the problem requires, whether that is a new programming language, an ML algorithm, or biological concept.\n\n - You are action oriented and derive true satisfaction from getting things done.\n\n - Experience in developing back-end systems in a modern cloud environment.\n\n - The Python programming language and its ecosystem. \n\n - Familiarity with database system architecture and data warehouses.\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\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\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\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","remote_scope":"unknown","job_type":"full-time","experience_level":"mid","tags":["data-pipeline","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":"2026-07-22T08:08:11.567Z","expires_at":"2026-09-28T13:44:04.816055Z","created_at":"2026-04-16T14:45:59.107168Z","updated_at":"2026-08-29T13:44:04.970328Z","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":"5e265dc4-7000-4ac8-93c6-f426f30e3f60","company_id":"04c258f6-368b-4c6a-b125-a00bf2e9558a","title":"Senior Python Software Engineer/Open-Source Contributor - EMEA Remote","slug":"senior-python-software-engineeropen-source-contributor-emea-remote-d8ce4b94","description":"\u003cp\u003eAt Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets \u0026amp; 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eAbout the Role\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eRoles at Hugging Face are very fluid and dynamic -- we are looking for someone who is comfortable taking on different challenges that will evolve over time. In the short term, the focus of this role is to help develop Gradio (\u003ca href=\"http://www.gradio.dev/\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003ewww.gradio.dev\u003c/a\u003e), a Python framework that lets users build machine learning web apps, and Trackio, a local-first, agent-friendly experiment tracking platform (\u003ca href=\"https://github.com/gradio-app/trackio\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003ehttps://github.com/gradio-app/trackio\u003c/a\u003e). Gradio and Trackio are used by more than 1 million developers each month, locally and to launch apps on \u003ca href=\"https://huggingface.co/spaces\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eHugging Face Spaces\u003c/a\u003e. These apps have allowed machine learning to be accessible to a wide audience -- for the first time in history, anyone with an internet connection can use cutting-edge machine learning models right from their browser.\u003c/p\u003e\u003cp\u003e\u003cbr\u003eKey responsibilities include:\u003c/p\u003e\u003cul\u003e\u003cli\u003eDesigning, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers.\u003c/li\u003e\u003cli\u003eArchitecting complex Python projects and frameworks that serve as foundational tools for the ML community.\u003c/li\u003e\u003cli\u003eCollaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support.\u003c/li\u003e\u003cli\u003eIntegrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.\u003c/li\u003e\u003cli\u003eAdapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes.\u003c/li\u003e\u003c/ul\u003e","location":"France","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["python"],"apply_url":"https://apply.workable.com/j/CB1DEFE6CE","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-02T00:00:00Z","expires_at":"2026-09-28T13:35:58.576132Z","created_at":"2026-06-28T14:05:04.122527Z","updated_at":"2026-08-29T13:35:58.726874Z","company_name":"Hugging Face","company_slug":"hugging-face","company_logo_url":"https://www.google.com/s2/favicons?domain=huggingface.co\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/5e265dc4-7000-4ac8-93c6-f426f30e3f60"},{"id":"14b7b7c3-d7c2-4e3d-97a6-647c0ff0f038","company_id":"04c258f6-368b-4c6a-b125-a00bf2e9558a","title":"Senior Python Software Engineer/Open-Source Contributor - US Remote","slug":"senior-python-software-engineeropen-source-contributor-us-remote-0d323cc3","description":"\u003cp\u003eAt Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets \u0026amp; 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eAbout the Role\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eRoles at Hugging Face are very fluid and dynamic -- we are looking for someone who is comfortable taking on different challenges that will evolve over time. In the short term, the focus of this role is to help develop Gradio (\u003ca href=\"http://www.gradio.dev/\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003ewww.gradio.dev\u003c/a\u003e), a Python framework that lets users build machine learning web apps, and Trackio, a local-first, agent-friendly experiment tracking platform (\u003ca href=\"https://github.com/gradio-app/trackio\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003ehttps://github.com/gradio-app/trackio\u003c/a\u003e). Gradio and Trackio are used by more than 1 million developers each month, locally and to launch apps on \u003ca href=\"https://huggingface.co/spaces\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eHugging Face Spaces\u003c/a\u003e. These apps have allowed machine learning to be accessible to a wide audience -- for the first time in history, anyone with an internet connection can use cutting-edge machine learning models right from their browser.\u003c/p\u003e\u003cp\u003e\u003cbr\u003eKey responsibilities include:\u003c/p\u003e\u003cul\u003e\u003cli\u003eDesigning, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers.\u003c/li\u003e\u003cli\u003eArchitecting complex Python projects and frameworks that serve as foundational tools for the ML community.\u003c/li\u003e\u003cli\u003eCollaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support.\u003c/li\u003e\u003cli\u003eIntegrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.\u003c/li\u003e\u003cli\u003eAdapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes.\u003c/li\u003e\u003c/ul\u003e","location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["python"],"apply_url":"https://apply.workable.com/j/F8427A442D","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-02T00:00:00Z","expires_at":"2026-09-28T13:35:58.66717Z","created_at":"2026-06-28T14:05:04.202577Z","updated_at":"2026-08-29T13:35:58.814586Z","company_name":"Hugging Face","company_slug":"hugging-face","company_logo_url":"https://www.google.com/s2/favicons?domain=huggingface.co\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/14b7b7c3-d7c2-4e3d-97a6-647c0ff0f038"},{"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","remote_scope":"not_remote","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":"2026-09-28T13:38:57.755894Z","created_at":"2026-04-13T09:44:27.823287Z","updated_at":"2026-08-29T13:38:57.906368Z","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\nAI needs a new infrastructure layer. We're building it at Modal.\n\nEvery era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.\n\nOur customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.\n\nWe recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.\n\nOur 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","remote_scope":"not_remote","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":"2026-09-28T13:32:07.839297Z","created_at":"2026-04-13T09:37:30.68939Z","updated_at":"2026-08-29T13:32:07.988815Z","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 agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to understand how agents behave in production and the tools to improve them.\n\nTeams at Notion, Stripe, Box, OpenAI, and Cloudflare use Braintrust to trace their agents, find the issues in their observability data, and run evals that tell them how to improve.\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 - Wifi \u0026 cellphone 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","remote_scope":"unknown","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":"2026-09-28T13:37:29.137491Z","created_at":"2026-04-13T09:42:44.750339Z","updated_at":"2026-08-29T13:37:29.35553Z","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":19,"total_is_exact":true,"total_pages":1}