Senior AI Engineer

What You Will Own:

• Design and delivery of production AI and agentic systems across document intelligence, workflow automation, and copilots.
• Architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
• Evals and observability for production AI.

Must Haves:

• 6+ years of software engineering experience, with at least 2 years focused on shipping production LLM-based or ML systems.
• Strong Python proficiency, including production-grade code quality, testing, and deployment practices.
• Hands-on experience with LLM APIs (Anthropic, OpenAI, AWS Bedrock, or similar), including prompt design, structured outputs, and function calling.

What Success Looks Like:

• Within 60 days, you ship a meaningful improvement to an existing AI capability or a new one into production.
• Within 90 days, evals and observability are in place for the systems you own.
• AI systems run reliably at production volume with predictable cost and latency.