AI Software Engineer

Blue Cross Blue Shield of Nebraska•Omaha, NE

4d•Hybrid

About The Position

At Blue Cross and Blue Shield of Nebraska, we are a mission-driven organization dedicated to championing the health and well-being of our members and the communities we serve. Our team is the power behind that promise. And, as the industry rapidly evolves and we seek ways to optimize business processes and customer experiences, there’s no greater time for forward-thinking professionals like you to join us in delivering on it! As a member of Team Blue, you’ll find purpose, opportunities and the support you need to build a meaningful career and make a powerful impact in our community. The Software Engineer position will be responsible for working with cross-functional business teams to research, design, test, and maintain various systems and applications. This role is responsible for providing engineering knowledge and experience, as needed, to deliver solutions to the business both on new builds, as well as support on modifications and maintenance for existing programs. The ideal candidate will live within driving distance of the Omaha, Nebraska office. This position allows remote flexibility but will have 1 day per week in the office. If living in one of our approved states (Florida, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and Texas) – this person may travel to our headquarters.

Requirements

Bachelor’s degree and 2-4 years of experience in software development.
Experience with agentic AI in production (multiple agents, explicit state management, real users).
1-2 years building and operating production LLM or agentic AI systems.
Ability to describe specific decisions made in a multi-agent system regarding state management, agent failure handling, and system governability.
Experience with LangGraph, AutoGen, or custom graph-based orchestration used in production.
Experience debugging retrieval quality problems, iterating on chunking strategies, and dealing with stale knowledge bases in live systems.
Experience building evaluation systems from scratch (golden datasets, automated regression, domain-appropriate accuracy metrics).
Experience in healthcare, insurance, fintech, or legal domains with AI systems where accuracy is critical.
Strong knowledge of Python.
Experience with Azure OpenAI, Azure AI Search, Azure Container Apps.

Nice To Haves

Experience working in an Agile/Scrum environment.
Desire to think in a creative, lateral way both conceptually and in practical application.
Obsessed with addressing customer needs.
Strong communication and interpersonal skills.
Experience creating Single Sign On (SSO) experiences.
Possess emotional intelligence.

Responsibilities

Agent design and orchestration.
Multi-agent orchestration layer.
Design and build the LangGraph-based system that classifies member intent and routes to the right agent.
Stateful, context-preserving, failure-tolerant system design.
Handles commercial agents and internally built capabilities through the same interface.
Agent integration contract: standardized pattern for pluggable agents including input schema, output schema, confidence signaling, latency SLA, and fallback behavior.
Context management across turns for multi-turn conversations that maintain full member context across agent handoffs.
Guardrail and safety layer design, including clinical safety boundaries, PHI handling at the LLM layer, and response normalization.
RAG pipeline architecture: defining ingestion strategy, chunking approach, hybrid search configuration, and retrieval quality standards for benefits documents, formularies, and policy content via Azure AI Search.
Prompt architecture: designing a versioned prompt registry, structured output contracts, and few-shot pattern design for testable, rollback-able, and understandable prompts.