AI LLM Engineer
Core
Design, build, and operationalize AI-driven solutions including RAG pipelines, enterprise copilots, and agent-based automation frameworks to transform analytics and reporting delivery.
Role type
Senior AI LLM Engineer (Applied AI & Agentic Systems)
Builds
Production-grade AI systems, RAG pipelines, enterprise copilots, and agent-based automation frameworks for the Analytics & Reporting team.
Domain
Healthcare technology, Enterprise Analytics, Generative AI
Deliverable
production ML models | product features
Required skills
LLM architecture design, RAG pipeline development, agentic system design, vector store optimization, prompt engineering, model orchestration, SQL query optimization, Python pipeline development, hybrid intelligence integration
Preferred skills
Experience evolving from data/ML/analytics engineering, knowledge of LangChain/LangGraph/Semantic Kernel, familiarity with Microsoft Copilot Studio/Azure AI Foundry
Technologies
Snowflake, Power BI, Fabric/OneLake, LangChain, LangGraph, Semantic Kernel, Microsoft Copilot Studio, Azure AI Foundry, Python
Responsibilities
Design and deploy LLM-powered applications using RAG and multi-agent workflows; Develop AI copilots and natural language interfaces over enterprise data platforms; Build and orchestrate AI agents for data querying and workflow automation; Implement context management strategies including embeddings and retrieval optimization; Develop evaluation frameworks for prompt performance and hallucination mitigation; Integrate traditional ML models with LLM systems for hybrid intelligence workflows.
Seniority
Senior, hands-on IC