AI Engineer

Responsibilities

• Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype through general availability.
• Design reliable AI-system harnesses, execution flows, guardrails, and evaluations.
• Build internal AI tooling and automation to increase engineering, research, and go-to-market velocity.
• Partner with research engineers to turn internal research workflows into customer-facing features.
• Instrument evaluations to measure changes in output quality.
• Implement end-to-end features across the API layer, backend, agent orchestration, and frontend.
• Use Baseten training and inference products to understand customer workflows.
• Identify and replace manual company processes with AI-driven solutions.
• 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 used by real users.
• Strong software engineering fundamentals and ability to meet a high technical bar.
• Ability to understand how systems, models, and harnesses work under the hood.
• Proficiency in Python and fluency in at least one other programming 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 for bridging technical depth and business needs.
• Preferred: experience as a founding engineer or early startup employee.
• Preferred: experience building evaluations, agent observability, or tooling for non-deterministic systems.
• Preferred: familiarity with LangChain, Claude Code, Codex, OpenCode, and MCP.
• Preferred: experience with supervised fine-tuning, reinforcement learning, synthetic data generation, LoRA, and full fine-tunes.
• Preferred: frontend fluency.

Benefits

• Competitive compensation including meaningful equity; no base salary amount is stated.
• 100% medical, dental, and vision insurance coverage for employees and dependents.
• Flexible paid time off and company-wide Winter Break, with offices closed from Christmas Eve through 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 and related learning and networking opportunities.