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.

What you’ll bring

• 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.

Helpful experience

• Document AI, information extraction, OCR, or converting unstructured business documents into structured data.
• LLM evaluation, dataset curation, human-in-the-loop systems, and regression testing.
• FastAPI, PostgreSQL, cloud infrastructure, and background processing.
• Familiarity with privacy, data handling, and production monitoring for AI features.