About the role
Baseten is building an internal AI developer platform to enable AI-first software development. The role involves creating agent configurations, context and tooling layers, evals, and rollout mechanics to make AI tools effective in the codebase. Success is measured by team adoption, not mandates. The engineer will own the platform end-to-end, integrate third-party AI coding tools, build frameworks for other engineers, establish evaluation practices, drive adoption through developer experience,,
Requirements
4+ years of industry experience building and enabling AI native SDLC. Strong proficiency in Python and/or Go, building tools others depend on daily. Hands-on experience with LLMs and agent frameworks (tool calling, MCP, context management, orchestration, failure handling) and shipped agentic products. Deep fluency with AI coding tools and opinions on their limitations. Platform mindset focused on adoption and self-service. Developer tooling, CI/CD, Kubernetes/Docker fundamentals. Comfort with a,
About the company
Baseten
Baseten provides the Baseten Inference Stack, a platform for high-performance AI model deployment and management across any cloud. They offer the fastest model runtimes, cross-cloud high availability, and seamless developer workflows to help businesses bring AI products to market quickly and efficiently.
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