AI Engineer
Baseten · San Francisco
About this role
## About Baseten Baseten powers mission-critical inference for the world’s most dynamic AI companies (e.g., Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, Writer). By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we help frontier AI companies bring cutting-edge models into production. We’re growing quickly and recently raised our **$1.5B Series F**: https://www.baseten.co/blog/announcing-our-series-f/ ## The Role Are you the person on your team who builds the agent everyone else ends up using? Baseten is looking for an **AI Engineer** to join the **Training Product** team. You’ll build AI-driven product features for customers training and post-training frontier models on our platform, and raise the ceiling on how Baseten uses AI internally—turning manual workflows into agentic ones that make every other team faster. This is a hands-on role with real autonomy: you’ll choose the problems worth solving, build harnesses, execution flows, and guardrails that make AI systems reliable, and **own the results**. You’ll work directly with research engineers to scope and build products from an internal research loop into something customers can run themselves. ### Example initiatives - Baseten Training: an autoresearch substrate — https://www.baseten.co/blog/baseten-training-an-autoresearch-substrate/ - Introducing Baseten Loops — https://www.baseten.co/blog/introducing-the-baseten-loops-sdk/ - Harnesses are everything. Here’s how to optimize yours. — https://www.baseten.co/blog/harnesses-are-everything-heres-how-to-optimize-yours/ - Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents on Baseten — https://www.baseten.co/blog/nvidia-nemotron-3-ultra-and-langchain-deep-agents-on-baseten/ ## Responsibilities - Build and ship **agentic product experiences** (chat-style and assistant-like interfaces) from prototype to GA. - Design **harnesses, execution flows, and guardrails** for reliable production AI systems. - Build internal automation and AI tooling that measurably increases engineering, research, and go-to-market velocity. - Partner with research engineers to turn internal research workflows into customer-facing features. - Define and instrument **evals** to measure whether changes improve output quality. - Work across the stack (API layer, backend, agent orchestration, frontend) to implement features end to end. - Use Baseten’s training and inference products to develop intuition around customer workflows. - Identify where AI can replace manual processes and build the solution—not just write the proposal. - Fix bugs and resolve customer issues with urgency. ## Requirements - **5+ years** of experience building and shipping software applications. - Demonstrated experience building **AI/LLM-powered products**, agents, or agentic workflows used by real users. - Strong software engineering fundamentals; able to meet a real technical bar (not just prompt well). - Ability to build accurate mental models of how systems work under the…
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