220K–260K USD / year
AI Engineer
AIHybrid — San Francisco
Published on 2026-08-20
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About this role
Build customer-facing AI features for teams training and post-training frontier models, and create internal AI automation that helps Baseten teams work faster. The role spans prototyping through general availability, with autonomy to identify problems, build reliable agent workflows, and measure their quality.
About the company
Baseten is an inference cloud that helps companies run and scale AI models in production with flexible infrastructure and developer tooling.
The team
Training Product team
Stack
PythonLangChainClaude CodeCodexOpenCodeMCP
What you'll do
- Build and ship agentic product experiences, from prototype to general availability.
- Design harnesses, execution flows, and guardrails for reliable AI systems.
- Develop internal AI tooling and automation for engineering, research, and go-to-market teams.
- Partner with research engineers to turn internal workflows into customer-facing features.
- Define and instrument evaluations to measure output quality.
- Implement features across APIs, backend, agent orchestration, and frontend.
- Use Baseten training and inference products to understand customer workflows.
- Resolve bugs and customer issues with urgency.
What we're looking for
- 5+ years building and shipping software applications.
- Experience shipping AI- or LLM-powered products, agents, or workflows used by real users.
- Strong software engineering fundamentals.
- Ability to understand how underlying models and harnesses work.
- Proficiency in Python and fluency in at least one other language.
- Comfort working autonomously in a fast-moving, lightly structured environment.
- Able to move between customer-facing product work and internal tooling.
- Strong communication skills bridging technical and business needs.
Nice to have
- Founding engineer or early-stage startup experience.
- Experience with evaluations, agent observability, or tooling for non-deterministic systems.
- Familiarity with agent frameworks and harnesses such as LangChain, Claude Code, Codex, OpenCode, or MCP.
- Experience with supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, or full fine-tuning.
- Frontend fluency.
Benefits
- Meaningful equity.
- 100% medical, dental, and vision coverage for U.S. employees and dependents.
- Flexible PTO and company-wide winter break.
- Paid parental leave.
- Fertility and family-building stipend.
- Company-facilitated 401(k) for U.S. employees.