Senior Applied AI Engineer

Postman Postman · Enterprise · Bangalore, India · Product Engineering

Senior Applied AI Engineer at Postman, focusing on building Agent Mode and next-generation AI-powered capabilities. The role involves designing and building agent architectures using Postman's API knowledge graph, developing data pipelines and experimentation infrastructure for fast AI feature shipping, and staying on the bleeding edge of AI tooling. Requires deep experience in AI agents, ability to move from prototype to production quickly, and a strong understanding of AI/API space opportunities.

What you'd actually do

  1. Design and build agent architectures backed by Postman's unique API knowledge graph — collections, environments, schemas, real-world usage patterns across millions of workspaces
  2. Build and manage the data pipelines and experimentation infrastructure that let us ship AI features fast
  3. Move between research and production at speed — prototype new approaches, validate them with real users, and iterate relentlessly
  4. Stay on the bleeding edge of the tooling ecosystem: sandboxes, remote execution, workspace environments, model capabilities, and new paradigms as they emerge
  5. Collaborate across engineering, research, design, and product to figure out what AI-native API development actually looks like — and then build it

Skills

Required

  • 5+ years of engineering experience shipping products at scale
  • Deep experience with AI agents and agent tooling
  • Ability to prototype and ship production-quality AI features rapidly
  • Understanding of AI/API space opportunities
  • Product instinct

Nice to have

  • Experience with sandboxing approaches
  • Experience with remote execution environments
  • Experience with code generation pipelines
  • Familiarity with various orchestration frameworks, context management strategies, tool use patterns, and data pipelines

What the JD emphasized

  • 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
  • You've used AI to 10x yourself
  • experimenting with [almost] every new model, framework, and dev tool that drops
  • go from prototype to production
  • The space moves too fast for anything less
  • know the tradeoffs
  • still experimenting
  • 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

Other signals

  • building agent architectures
  • shipping AI features fast
  • collaborate across engineering, research, design, and product