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Описание вакансии
Текст:
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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