Frontier AI Engineer

Postman, Inc.; Washington; Hybrid; USD 300,000 - 350,000; Full time

Benefits offered by this job

Full medical coverage

Flexible PTO

Wellness reimbursement

Monthly lunch stipend

Donation-matching program

Job summary

Postman is seeking Frontier AI Engineers to design and build agentic AI systems, enabling production deployments with LLMs, MCP, and API integration. You will work closely with customers to prototype, debug, and scale AI solutions across tools, data, and workflows.

You will drive architecture decisions, focus on security, policy enforcement, and observability, and help ship capabilities that empower thousands of developers using Postman’s platform.

Qualifications

• Hands-on engineering role building scalable AI systems with current tooling.
• Experience applying LLMs, agents, and tool use in production.
• Strong fundamentals in system design, reliability, and security.

Responsibilities

• Design and build agentic AI systems spanning models, tools, and data.
• Collaborate with customers to deploy AI workflows and evaluate performance.
• Ensure policy, identity, authentication, and auditability in production AI.
• Improve observability, reliability, and cost-efficiency of AI pipelines.

Skills

LLMs

Agents

APIs

Tooling

RAG

Vector search

Tools

MCP

Model routing

Evaluation tooling

Security controls

Observability

Job description

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

We are building a small, exceptional Frontier AI Engineering team at Postman. The idea is pretty simple. Some of the most important problems in AI are not solved in a lab or in a planning meeting. They are solved when great engineers sit with customers, understand what they are trying to build, see where things break, and help make it work.

Opportunity

Frontier AI Engineers will work directly with some of our most ambitious customers to design, build, and bring real AI and agentic systems into production. This is a hands‑on engineering role. You will write code, build prototypes, debug systems, make architecture decisions, and work side by side with customer engineering teams to get things running. You might be working on an agent that needs reliable tool use, an MCP based integration, a RAG pipeline that needs better retrieval quality, an evaluation framework for production agents, model routing across multiple LLM providers, or the identity and policy layer required to safely let agents take actions. The work spans the full AI stack, from models and inference to agents, APIs, tools, context, evaluation, security, observability, and production infrastructure. Just as importantly, you will bring what you learn back into Postman. We do not want to build a collection of one off solutions. We want to understand the hard AI engineering problems our customers are running into, recognize the patterns that repeat, and turn those lessons into product capabilities that can help thousands of other developers.

What You’ll Do

Build real AI systems. Work 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 while maintaining the right controls around identity, permissions, policy, and execution. Work across the model layer. Experiment with leading foundation models, model routing, inference, prompt and context engineering, fine tuning where it makes sense, and the tradeoffs between quality, latency, cost, and reliability. Make AI measurable. Build evaluation systems for agents and LLM applications, including task success, tool correctness, hallucination detection, regression testing, safety, latency, and cost. Make AI production ready. Work on observability, tracing, guardrails, fallback strategies, rate limits, retries, caching, model gateways, and the infrastructure needed to operate AI systems reliably at scale. Solve the context problem. Help customers reason about retrieval, memory, grounding, context windows, embeddings, vector databases, enterprise data, and how the right context gets to the right model or agent at the right time. Secure agent actions. Work on authentication, authorization, secrets, API access, policy enforcement, human approval, auditability, and the controls required when AI systems can actually take actions. Own problems end to end. Start with a problem that may not be clearly defined and take it from architecture to prototype to evaluation to production. Stay close to the code. We are looking for builders. You will prototype, integrate, debug, experiment, benchmark, and ship. Work with ambitious engineering teams. Spend time with AI teams, platform teams, developers, and engineering leaders who are pushing the boundaries of what they can build. Shape what Postman builds next. The problems you see in the field will directly influence our AI platform, APIs, Gateway, identity, agent capabilities, developer experience, and product roadmap. Turn learning into a product. Identify patterns that repeat across customers and turn them into reusable primitives, reference architectures, workflows, and platform capabilities.

About You

We are looking for people who are deeply technical and love building. People who are just as comfortable opening a terminal and debugging an agent trace as they are sitting with another engineering team and working through an architecture. People who understand that building with LLMs is not just about writing prompts. It is about systems engineering, evaluation, reliability, data, APIs, security, and everything required to make probabilistic systems behave predictably in production. People who are curious about where models are going, but equally interested in what it takes to make them useful today. People who like hard problems and do not need everything perfectly defined before they start building. Your background might be in applied AI, agentic systems, AI infrastructure, distributed systems, developer platforms, APIs, security, ML infrastructure, inference, or model platforms. What matters more is how you think and how you build. We care about strong engineering fundamentals, AI fluency, technical depth, curiosity, judgment, speed, and ownership. Above all, we want engineers who want to be close to where AI is actually being built and put into production. If you want to build agents and AI systems that move beyond demos into real production environments, solve hard engineering problems, and help define Frontier AI Engineering at Postman, we would love to talk.

What Else?

The reasonably estimated base salary for this role ranges from $300,000 to $350,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. In addition to Postman's pay‑on‑performance philosophy, and a flexible schedule working with a fun, collaborative team, Postman offers a comprehensive set of benefits, including full medical coverage, flexible PTO, wellness reimbursement, and a monthly lunch stipend. Along with that, our wellness programs will help you stay in the best of your physical and mental health. Our frequent and fascinating team‑building events will keep you connected, while our donation‑matching program can support the causes you care about. We’re building a long‑term company with an inclusive culture where everyone can be the best version of themselves. At Postman we value in person collaboration. We are in office 5 days a week for all roles based out of our hubs in San Francisco Bay Area, Boston, Austin, New York City, Tokyo and London. For roles based in Bangalore, employees currently work in the office three days a week and will transition to five days per week by the end of the year. We were thoughtful in our approach which is based on collaboration and grounded in feedback from our workforce, leadership team, and peers. The benefits of our in office model will be shared knowledge, brainstorming sessions, communication, and building trust in-person that cannot be replicated via zoom.

Our Values

We value transparency and honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can.

Equal Opportunity

Postman is an Equal Employment Opportunity and Affimative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third‑party agency or company that does not have a signed agreement with Postman. Postman powers API development for 40 million+ developers and 500,000+ organizations worldwide.

Join us and help define how the world connects.