AI Engineer

• Design, build, and maintain AI systems that turn customer conversations and uploaded documents into grounded, auditable cost estimates
• Build and maintain LangGraph agents, including ReAct retrieval sub-agents, custom middleware, Pydantic-typed graph state, and streaming flows
• Own retrieval quality end to end through agentic retrieval, collection routing, LLM-driven metadata filters, similarity thresholds, query rewriting, semantic chunking, and citation tracking
• Integrate AWS Bedrock, OpenAI, and self-hosted vLLM behind an abstract provider interface
• Develop and maintain platform API services, relational and domain-knowledge data stores, vector stores, and observability/tracing for AI workflows
• Set technical direction for the AI workstream
• Review designs and code, mentor engineers, and align with product stakeholders
• Improve agent task success rate, retrieval precision/recall, grounding and citation accuracy, groundedness, delivery, review quality, mentoring outcomes, and stakeholder satisfaction

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AI Engineer