Design, implement, and ship AI systems that automate work, support decisions, and unlock new workflows for enterprise clients
Building multi-step agents and tool-using LLM systems
Wiring AI systems into structured and unstructured data sources
Packaging AI systems into services for consumption by other engineers and applications
Own the system evaluations, observability, and the feedback loops for iteration
Collaborate closely with strategists, engineers, and designers throughout the project lifecycle

3+ years of experience shipping AI-powered systems in production
Background in computer science, math, physics, engineering, or another technical or scientific field
Strong in Python
Fluent in the patterns of modern LLM engineering: agents, MCP, skills, tool use, retrieval, structured outputs, and evals
Comfortable wrapping AI logic into services that other engineers can consume without surprises.

AI Engineer

Key skills