Experience with RAG architecture and context engineering
Familiarity with diverse LLM provider APIs and experience connecting agents to systems
Responsibilities
Partner with the Executive Director, AI Engineering to help define and execute on AI technical roadmap
Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure
Design and build production applications in support of organizational use cases
Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports)
Conduct code / architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards
Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment
Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment
Connect AI agents to organizational systems and workflows
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