Frontier AI Engineer: Build Real-World AI Agents

Postman, Inc.; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Full medical coverage

Flexible PTO

Wellness reimbursement

Monthly lunch stipend

Donation-matching program

Job summary

Postman, Inc. in the San Francisco Bay Area seeks Frontier AI Engineers to design, build, and bring real AI and agentic systems into production. This hands-on role involves coding, prototyping, debugging, architecture decisions, and close collaboration with customer engineering teams.

You will work on models, inference, agents, APIs, tools, context, evaluation, security, observability, and production infrastructure, turning learnings into scalable product capabilities for thousands of developers.

Qualifications

• We are looking for people who are deeply technical and love building.
• People who understand that building with LLMs is not just about writing prompts.
• Background might include applied AI, agentic systems, AI infrastructure, distributed systems, developer platforms, APIs, security, ML infrastructure, inference, or model platforms.

Responsibilities

• Build real AI systems with LLMs, agents, MCP, APIs, tool calling, RAG, vector search, structured outputs, multimodal models, and production AI workflows.
• Design agentic systems; build agents that can reason across tools, APIs, enterprise data, and workflows with proper identity and policy controls.
• Work across the model layer; experiment with foundation models, model routing, inference, and the tradeoffs of quality, latency, cost, and reliability.

Skills

LLMs

Agents

APIs

Tool calling

RAG

Vector search

Production AI workflows

Tools

MCP

Job description

Postman, Inc. in the San Francisco Bay Area seeks Frontier AI Engineers to design, build, and bring real AI and agentic systems into production. This hands-on role involves coding, prototyping, debugging, architecture decisions, and close collaboration with customer engineering teams.

You will work on models, inference, agents, APIs, tools, context, evaluation, security, observability, and production infrastructure, turning learnings into scalable product capabilities for thousands of developers.