jobapplier

Sr Software Engineer

BCBSNE

Skills

Required

  • PHI handling
  • LLM
  • Prompt architecture
  • software engineering
  • agentic AI in production—not
  • chatbot demos
  • RAG tutorials
  • agentic AI systems
  • state management
  • handled agent failures mid-conversation
  • Python / FastAPI
  • Azure
  • PostgreSQL

Preferred

  • RAG pipeline architecture
  • hybrid search configuration
  • retrieval
  • Debugged retrieval quality problems
  • iterated on chunking strategies
  • rollback-able

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. *We are unable to sponsor or take over sponsorship of an employment visa at this time* What You’ll Do: Your primary focus is agent design and orchestration. Multi-agent orchestration layer.

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. The member asks a follow-up two turns later; the platform knows what was said, which agent handled it, and what was retrieved. Guardrail and safety layer.

Versioned prompt registry, structured output contracts, few-shot pattern design.

Systems with multiple agents, explicit state management, and real users depending on the answers being correct.

About BCBSNE

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.

Health insurance is one of the most confusing, high-stakes experiences people navigate.

Members don’t understand their coverage, can’t predict costs, and struggle to get answers when it matters most.

We’re building the AI platform that changes that—a member experience that feels like having an expert in your corner.

It’s already live.

The orchestration architecture, the agent integration patterns, the evaluation systems that keep it all trustworthy at scale—that’s what we’re building together.

Join a team where your skills, attitude, and ideas are valued—and where you’ll help shape the future of healthcare technology.

Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers .

Learn more about what makes BCBSNE such an exceptional place to work by visiting NebraskaBlue.com/Careers .

Responsibilities

  • You’ll shape how it’s designed and set the standard for how it grows.
  • Design and build the LangGraph-based system that classifies member intent and routes to the right agent.
  • When the team integrates a new agent, they follow a pattern you designed.
  • Context management across turns.
  • Benefits documents, formularies, and policy content retrieval via Azure AI Search.
  • Every prompt is testable, rollback-able, and understandable by the team.

Requirements

  • It’s already helping people.
  • And it’s just getting started.
  • specialized AI agents collaborating to answer clinical questions, navigate prior authorizations, close care gaps, and guide members through their benefits.
  • Stateful, context-preserving, failure-tolerant.
  • Handles commercial agents and internally built capabilities through the same interface.
  • Agent integration contract.
  • 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.
  • Prompt architecture.
  • To be considered for this position you must have: 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.
  • 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.
  • golden datasets, automated regression, domain-appropriate accuracy metrics.
  • 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.
  • The Stack Python / FastAPI · LangGraph · Azure OpenAI / Claude via Azure · Azure AI Search · Azure Container Apps · LlamaIndex · LangSmith · Azure App Insights · PostgreSQL · Redis To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

Preferred

  • RAG pipeline architecture.
  • You define the ingestion strategy, chunking approach, hybrid search configuration, and retrieval quality standards.
  • 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

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 The strongest candidates will also have: Experience working in an Agile/Scrum environment.

The requirements listed are representative of the knowledge, skill, and or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned. Ready to make an impact?

We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.

We strongly believe that diversity of experience, perspective and background will lead to a better workplace for our employees and a better product for our customers and members.