Frontier AI Engineer

Sourced from postman.wd108.myworkdayjobs.com

Postman is building a small Frontier AI Engineering team to work directly with ambitious customers on bringing real AI and agentic systems into production. This hands-on role spans the full AI stack—from models and inference to agents, APIs, tools, context, evaluation, security, and observability—while feeding field learnings back into Postman's product. Engineers own problems end to end, from architecture through prototype, evaluation, and production.

• Build production AI systems using LLMs, agents, MCP, APIs, tool calling, RAG, and vector search
• Design agentic systems with proper controls around identity, permissions, policy, and execution
• Experiment across foundation models, model routing, inference, prompt/context engineering, and fine-tuning
• Build evaluation systems for agents and LLM applications covering task success, hallucination detection, safety, latency, and cost
• Make AI production ready with observability, tracing, guardrails, fallbacks, rate limits, caching, and model gateways
• Solve context problems involving retrieval, memory, grounding, embeddings, and vector databases
• Secure agent actions via authentication, authorization, secrets, policy enforcement, and auditability
• Own problems end to end from architecture to prototype to evaluation to production
• Identify recurring customer patterns and turn them into reusable product capabilities

• Hands-on engineering background in applied AI, agentic systems, AI infrastructure, distributed systems, developer platforms, APIs, security, ML infrastructure, inference, or model platforms
• Strong engineering fundamentals and AI fluency
• Comfort with systems engineering, evaluation, reliability, data, APIs, and security for probabilistic systems
• Ability to work with ambiguity and take ownership end to end
• Curiosity, judgment, speed, and a builder mindset

• Experience with multimodal models and structured outputs
• Experience with fine-tuning and model routing across multiple LLM providers
• Experience building developer platforms or API products