Senior Applied AI Engineer

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. About the Team Postman sits at the center of how the world's APIs get built, tested, and consumed. That's an insane dataset. If you've been deep in the agent tooling ecosystem — building with sandboxes, remote execution environments, code generation pipelines — and you've been thinking about what all of this looks like when it's backed by real-world API intelligence at massive scale, this is the role. We're building Agent Mode and the next generation of AI-powered capabilities at Postman. We just released Postman v12, but in the AI world, every day is day zero. Check out the latest demo . This doesn’t mean bolting a chat window onto an existing product. It's rethinking what an API platform becomes in an AI-native, API-first world — where agents don't just assist developers, they become developers. Postman has a unique position to make that real, and we need people who already intuitively understand why. What we need from you You live in this space. You're not reading about agents from the sidelines — you're building with them, breaking them, and forming opinions about why certain architectures work and others don't. You can talk about the tradeoffs between different sandboxing approaches, how workspace and execution environments shape agent capabilities, and what the actual bottlenecks are in shipping reliable AI features. Your opinions are evidence-backed because you've done the work, either in production or for exploration. You've used AI to 10x yourself. Not theoretically. You have multiple concrete examples — side projects, open source contributions, internal tools, workflow automations — where you used AI tooling to operate at a fundamentally different level of output. If you haven't been experimenting with [almost] every new model, framework, and dev tool that drops, this probably isn't the right fit. You can go from prototype to production. We need people who can evaluate a new paper or technique on Monday, have a working prototype by Wednesday, and ship a production-quality version by the end of the week. The space moves too fast for anything less. You know the tradeoffs — and you're still experimenting. You can speak to the pros and cons of different orchestration frameworks, context management strategies, tool use patterns, and data pipelines. But you also know that what didn't work last month might work tomorrow with a new model or a different approach. What the work looks like Design and build agent architectures backed by Postman's unique API knowledge graph — collections, environments, schemas, real-world usage patterns across millions of workspaces Build and manage the data pipelines and experimentation infrastructure that let us ship AI features fast Move between research and production at speed — prototype new approaches, validate them with real users, and iterate relentlessly Stay on the bleeding edge of the tooling ecosystem: sandboxes, remote execution, workspace environments, model capabilities, and new paradigms as they emerge Collaborate across engineering, research, design, and product to figure out what AI-native API development actually l ... (truncated, view full listing at source)