Назад
7 дней назад

Frontier AI Engineer (AI)

300 000 - 350 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Frontier AI Engineer (AI/Agentic Systems): Building and bringing production AI and agentic systems to customers with an accent on LLMs, MCP integrations, RAG, evaluation, security, and observability. Focus on designing reliable tool-using agents, optimizing model quality, latency, cost, and reliability, and turning repeated customer problems into reusable platform capabilities.

Location: Remote, Washington, United States

Base salary: $300,000–$350,000 per year, plus equity.

Company

Postman is an API platform used by more than 45 million developers and 500,000 organizations to build APIs and collaborate across the API lifecycle.

What you will do

  • Build production AI systems using LLMs, agents, MCP, APIs, tool calling, RAG, vector search, structured outputs, multimodal models, and production AI workflows.
  • Design agentic systems that reason across tools, APIs, enterprise data, and workflows with appropriate identity, permission, policy, and execution controls.
  • Work across the model layer on foundation models, routing, inference, prompt and context engineering, fine-tuning, and quality, latency, cost, and reliability tradeoffs.
  • Build evaluation, observability, tracing, guardrail, fallback, rate-limit, retry, caching, gateway, and infrastructure capabilities for reliable AI operation at scale.
  • Address retrieval, memory, grounding, context windows, embeddings, vector databases, enterprise data, authentication, authorization, secrets, auditability, and human approval.
  • Own problems from architecture and prototyping through evaluation and production, collaborate with customer engineering teams, and turn recurring patterns into reusable Postman platform capabilities.

Requirements

  • Deep technical ability and a strong preference for building, prototyping, integrating, debugging, experimenting, benchmarking, and shipping code.
  • Ability to debug agent traces and work through architecture with engineering teams.
  • Understanding that production LLM systems require systems engineering, evaluation, reliability, data, APIs, security, and predictable operation beyond prompt writing.
  • Strong engineering fundamentals, AI fluency, technical depth, curiosity, judgment, speed, and ownership.
  • Ability to work on difficult, ambiguously defined problems and take ownership end to end.
  • Relevant backgrounds may include applied AI, agentic systems, AI infrastructure, distributed systems, developer platforms, APIs, security, ML infrastructure, inference, or model platforms.
  • Willingness to work directly with customer AI, platform, developer, and engineering leadership teams and bring field learnings back into product development.

Culture & Benefits

  • Flexible schedule and a collaborative, inclusive culture focused on curiosity, transparency, honest communication, specific goals, and ownership.
  • Full medical coverage, flexible PTO, wellness reimbursement, monthly lunch stipend, wellness programs, team-building events, and donation matching.
  • Equity package and a pay-on-performance philosophy.
  • Postman values in-person collaboration; roles based out of San Francisco Bay Area, Boston, Austin, New York City, Tokyo, and London are office-based five days per week. The listed role is remote in Washington, United States.
  • Postman is an equal opportunity and affirmative action employer; recruitment agencies may not submit unsolicited resumes or charge fees without a signed agreement.

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