Senior Applied AI Engineer

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.

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.

• 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 looks like — and then build it

Every major AI agent being built today needs to talk to the world through APIs. Postman already has the largest connected API ecosystem on the planet. The opportunity here is to build the intelligence layer that makes AI-native development not just possible but default, in the API-first world. If you've been building agent tooling and wishing you had better data, better distribution, or a bigger surface area to work with, this is it.

• 5+ years of engineering experience shipping products at scale
• You've gotten deep enough into AI that you want to work on it full time — and you have the projects, contributions, or experiments to prove it
• You sense that there’s a massive opportunity in the AI<>API space waiting to be built.
• Product instinct — you care about what ships and whether it works for real users, not just whether the architecture is elegant