Senior AI Engineer

AI Orchestration & Systems Design:

• Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
• Make principled architecture choices regarding RAG vs. fine-tuning and agentic loops vs. simpler call-and-response patterns.
• Architect for long-term maintainability, ensuring systems fail gracefully.

Evaluation & Quality Assurance:

• Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
• Implement automated test suites and "LLM-as-judge" pipelines to catch defects before they reach production.
• Set quality standards for AI components and drive improvements based on human feedback loops.

Production Engineering & MLOps:

• Create production-quality Python services to wrap AI logic into secure microservices.
• Leverage AI coding assistants (Claude Code, Codex, Cursor, etc) to write the majority of your code, while still retaining ownership and deep understanding of the product created
• Own the model lifecycle, including versioning prompts as first-class code artifacts and monitoring for performance degradation.