AI Engineer

RESPONSIBILITIES:

• Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA.
• Design the harnesses, execution flows, and guardrails that make AI systems reliable in production.
• Build internal automation and AI tooling that measurably increases the velocity of engineering, research, and go-to-market teams.
• Partner with research engineers to scope product opportunities out of internal research workflows and turn them into customer-facing features.
• Define and instrument evals so you know whether a change actually improved output quality.
• Work throughout the stack (API layer, backend, agent orchestration, frontend) to implement features end to end.
• Use Baseten's own training and inference products yourself to develop intuition around customer workflows.
• Identify where AI can replace manual process across the company and build the thing rather than 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 or LLM-powered products, agents, or agentic workflows that real users depend on.
• Strong software engineering fundamentals and the ability to clear a real technical bar, not just prompt well.
• Ability to build accurate mental models of how systems work under the hood, including the models and harnesses you're building on.
• Proficiency in Python, with fluency in at least one other language.
• Comfort working autonomously in a fast-moving environment with limited structure.
• Ability to move between customer-facing product work and internal tooling and automation.
• Strong communication skills, with the ability to bridge technical depth and business needs.

NICE TO HAVE:

• Experience as a founding engineer or early employee at a startup.
• Experience building evals, agent observability, or tooling for non-deterministic systems.
• Familiarity with agent frameworks and harnesses (LangChain, Claude Code, Codex, OpenCode, MCP).
• Experience with model development methods like supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes.
• Frontend fluency.

BENEFITS

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

Emphasis on equal opportunity employment and San Francisco Fair Chance Ordinance.