Note: The job is a remote job and is open to candidates in USA. Blue Cross and Blue Shield of Nebraska is a mission-driven organization dedicated to championing the health and well-being of its members and communities. The role focuses on designing and building a multi-agent orchestration layer for AI systems to enhance member experiences and streamline interactions.

Responsibilities

• Design and build the LangGraph-based system that classifies member intent and routes to the right agent
• The standardized pattern that makes any agent pluggable: input schema, output schema, confidence signaling, latency SLA, fallback behavior
• Multi-turn conversations that maintain full member context across agent handoffs
• Clinical safety boundaries, PHI handling at the LLM layer, and response normalization ensuring every agent response arrives in a consistent tone and within compliance constraints regardless of which agent generated it
• Benefits documents, formularies, and policy content retrieval via Azure AI Search
• Versioned prompt registry, structured output contracts, few-shot pattern design

Skills

• Bachelor's degree and 4-7 years of experience in software engineering
• Experience with agentic AI in production—not LLM wrappers, not single-agent chatbot demos, not RAG tutorials. Systems with multiple agents, explicit state management, and real users depending on the answers being correct
• 2–3 years building and operating production LLM or agentic AI systems
• You can describe specific decisions you made in a multi-agent system: state management approach, how you handled agent failures mid-conversation, how you kept the system governable as agents were added
• LangGraph, AutoGen, or custom graph-based orchestration used in production, not just evaluated. You know where it breaks down and how you worked around it
• Debugged retrieval quality problems, iterated on chunking strategies, dealt with stale knowledge bases in a live system with real users
• Built evaluation systems from scratch: golden datasets, automated regression, domain-appropriate accuracy metrics. Your eval suite caught a production regression before users reported it
• Experience in healthcare, insurance, fintech, or legal domains—AI systems where a wrong answer has consequences, and you designed the safeguards that make accuracy non-negotiable
• Strong knowledge of Python. Work in an existing codebase and extend it with the AI layer
• Azure OpenAI, Azure AI Search, Azure Container Apps are the target stack
• Experience working in an Agile/Scrum environment
• Desire to think in a creative, lateral way both conceptually and in practical application
• You must be obsessed with addressing customer needs
• Strong communication and interpersonal skills
• Possess emotional intelligence

Benefits

• Health insurance

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