As Baseten's AI Enablement Engineer, you'll own the AI-powered tooling and agent infrastructure that makes every person at Baseten dramatically more productive. While our product helps external teams deploy and serve AI models, your focus is inward: building, integrating, and operating AI agents and LLM-powered workflows that accelerate how we write code, review PRs, debug incidents, generate documentation, and ship faster.
This is a high-autonomy, high-impact role. You'll be the go-to person for everything AI-internal, from evaluating and deploying coding assistants and agentic tools, to building custom agents tailored to Baseten's codebase and workflows. If you're excited about making an engineering org of top-tier infrastructure engineers even more effective by putting AI to work across the entire SDLC, this role is for you.
- Agentic coding workflows - Evaluate, customize, and deploy AI coding agents (e.g., Cursor, Claude Code, Codex) tuned to Baseten's monorepo, conventions, and internal libraries.
- Custom internal agents - Build purpose-built agents for tasks like incident triage, on-call support, codebase Q&A, and automated change management.
- AI adoption strategy - Track usage, measure productivity gains, and champion best practices for AI-assisted development across all engineering teams.
- Own and operate the end-to-end internal AI stack - from model selection and integration to deployment and monitoring.
- Build and maintain custom AI agents and LLM-powered tools tailored to Baseten's engineering workflows.
- Evaluate and roll out third-party AI developer tools, configuration, and onboarding.
- Instrument AI tool usage and measure impact on engineering velocity, code quality, and developer satisfaction.
- Stay at the cutting edge of AI tooling, agents, and developer productivity research - and bring the best ideas back to the team.
- Actively support engineering teams, ensuring they have the AI-powered resources and workflows necessary to remain productive.
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