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обновлено 3 дня назад

AI Developer Platform Engineer

165 000 - 330 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US/Canada
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
AI Developer Platform Engineer (AI/LLM): Build an internal AI developer platform that gives engineering teams reliable agent configurations, repository context, MCP tooling, evaluation harnesses, and safe CI/CD integrations with an accent on developer experience, self-service infrastructure, and measurable adoption. Focus on designing agent infrastructure, evaluating AI-assisted development workflows, implementing permissions and audit controls, and turning successful team practices into scalable platform capabilities.

Location: Hybrid in San Francisco, Montreal, New York, Seattle, or Toronto

Salary: $165,000–$330,000 per year plus equity

Company

Baseten provides AI inference infrastructure and developer tooling that helps AI companies bring machine learning models into production.

What you will do

  • Own the internal AI developer platform from architecture and implementation through rollout, operation, and measurement.
  • Integrate AI coding tools such as Claude Code, Cursor, and Codex with the company monorepo.
  • Build context infrastructure, MCP servers, shared skills, subagents, hooks, and sandboxed environments for engineering workflows.
  • Create templates and self-service frameworks that let engineers build agents without deep LLM expertise.
  • Develop evaluation harnesses and instrumentation to measure AI-assisted development, adoption, cycle time, review latency, and change failure rates.
  • Implement agent workflows for code review, test generation, incident context, migrations, refactoring, and codebase questions, with permissions, secrets handling, audit trails, and cost controls.

Requirements

  • 4+ years of relevant industry experience building and enabling AI-native software development workflows.
  • Strong proficiency in Python and/or Go for building tools used daily by other engineers.
  • Hands-on experience with LLMs and agent frameworks, including tool calling, MCP, context management, orchestration, and failure handling.
  • Experience shipping an agentic product or workflow used by real people.
  • Experience with developer tooling, CI/CD, and Kubernetes/Docker fundamentals.
  • Excellent written English communication and comfort working in an ambiguous, rapidly changing space.

Nice to have

  • Deep personal fluency with AI coding tools and strong opinions about their limitations.
  • Experience building internal platforms focused on developer adoption, self-service, and good defaults.

Culture & Benefits

  • Competitive compensation with meaningful equity.
  • Flexible PTO and a company-wide Winter Break.
  • Paid parental leave and a fertility and family-building stipend.
  • U.S. employees receive 100% coverage of medical, dental, and vision insurance for employees and dependents.
  • U.S. employees have access to a company-facilitated 401(k).
  • Exposure to a range of ML startups and their engineering challenges.

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