AI Engineer

What you’ll do

• Build and ship AI features for document understanding, structured extraction, and review workflows.
• Develop reliable pipelines that combine language models with application logic, validation, and human review.
• Design evaluations using representative examples, labeled data, and clear quality measures.
• Improve output quality through prompting, retrieval, model selection, and structured generation.
• Build safeguards for uncertain, incomplete, or conflicting inputs.
• Partner with product, design, and domain experts to turn workflow needs into useful AI capabilities.
• Work with engineers to integrate AI services into APIs, background jobs, and customer-facing applications.
• Monitor quality, latency, and cost in production, and use the results to guide improvements.
• Document system behavior, limitations, and operational considerations.

5–8 years of engineering experience, including hands-on work building and shipping applied AI or machine learning products.

Experience using language models for practical product workflows.

Strong Python skills and experience building production services or data pipelines.

Experience evaluating model outputs with measurable criteria, not just anecdotal review.

Familiarity with structured outputs, tool use, retrieval, and validation techniques.

Good judgment about model uncertainty and when a workflow should require human review.

Ability to work with ambiguous problems and explain technical trade-offs clearly.

Strong software engineering fundamentals, including testing, observability, and maintainable design.