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Ship production agentic systems - Design and build agents and agentic workflows that solve a
Provide governance and security guidance surrounding AI designs, strategy, and usage.
Automate SME workflows - Identify high-leverage operational toil (review pipelines, content QA
Make AI features safe - Treat what you deliver as a regulated product. Design for relevant
Hand off what you ship - Production features leave your hands with documentation, runbooks, an eval
Make AI features easier for the teams to utilize - foster a culture of safe AI adoption with

7+ years professional experience as an Engineer with at least 1+ years of hands-on experience
Strong Python familiarity plus one typed language for production services (TypeScript, Go, or
Software engineering foundation (formal or autodidact), with several years of production
Multiple shipped LLM-powered features in a production environment, with concrete stories about what
Practical knowledge of common agentic patterns: ReAct, tool use with structured schemas, prompt
Hands-on experience in a production environment with retrieval: chunking, embeddings, hybrid

Applied AI Engineer

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