Software Engineer - AI Developer Productivity

RESPONSIBILITIES

• Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement.
• Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo.
• Build frameworks that let other engineers create their own agents without deep LLM expertise.
• Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions.
• Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate.
• Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities.
• Own the safety layer: permissions, secrets handling, audit trails, cost management.

REQUIREMENTS

• Have 4+ years of relevant industry experience building and enabling AI native SDLC
• Strong proficiency in Python and/or Go, building tools other engineers depend on daily.
• Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped.
• Deep personal fluency with AI coding tools and well-formed opinions about where they break down.
• Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
• Developer tooling, CI/CD, and Kubernetes/Docker fundamentals.
• Comfort with ambiguity — this space invalidates its own best practices every few months.
• Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in.

BENEFITS