AI Software Engineer

Posted An Hour Ago
3 Locations
In-Office or Remote
Mid level
Healthtech • Insurance
The Role
Design, build, and operate a LangGraph-based multi-agent orchestration platform for production AI: agent integration contracts, stateful multi-turn context management, guardrails for PHI/clinical safety, RAG retrieval pipelines (Azure AI Search), versioned prompt architecture, evaluation/regression suites, and integrations to commercial and internal agents. Collaborate with cross-functional teams to implement, test, and maintain agentic systems in a regulated domain.
Summary Generated by Built In

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.  

What you'll do:

Your primary focus is 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. Handles commercial agents and internally built capabilities through the same interface. 

  • Agent integration contract. The standardized pattern that makes any agent pluggable: input schema, output schema, confidence signaling, latency SLA, fallback behavior. When the team integrates a new agent, they follow a pattern you designed. 

  • Context management across turns. 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. 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. 

  • RAG pipeline architecture. Benefits documents, formularies, and policy content retrieval via Azure AI Search. You define the ingestion strategy, chunking approach, hybrid search configuration, and retrieval quality standards. 

  • Prompt architecture. Versioned prompt registry, structured output contracts, few-shot pattern design. Every prompt is testable, rollback-able, and understandable by the team. 

To be considered for this position you must have:

  • Bachelor’s degree and 2-4 years of experience in software development.

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. 

  • 1-2 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 

The strongest candidates will also have:

  • 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.

  • Experience creating Single Sign On (SSO) experiences.

  • Possess emotional intelligence.

" We are unable to sponsor or take over sponsorship of an employment visa at this time.” 

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

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.

Skills Required

  • Bachelor's degree
  • 2-4 years of software development experience
  • 1-2 years building and operating production LLM or agentic AI systems
  • Experience with agentic AI in production (multi-agent systems, state management, real users)
  • Direct experience with LangGraph, AutoGen, or custom graph-based orchestration in production
  • Debugged retrieval quality problems and iterated on chunking/ingestion strategies for live systems
  • Built evaluation systems from scratch (golden datasets, automated regression, domain-appropriate metrics)
  • Experience in healthcare, insurance, fintech, or legal domains with safety/accuracy safeguards
  • Strong knowledge of Python
  • Experience with Azure OpenAI, Azure AI Search, and Azure Container Apps
  • Ability to describe specific design decisions in multi-agent systems (state, failure handling, governance)
  • Experience working in an Agile/Scrum environment
  • Experience creating Single Sign On (SSO) experiences
  • Strong communication and interpersonal skills
  • Emotional intelligence
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The Company
HQ: Omaha, NE
1,098 Employees
Year Founded: 1939

What We Do

To millions of Americans, Blue Cross and Blue Shield symbolizes peace of mind when it's needed most. That’s because, collectively, the Blue Cross and Blue Shield brands represent the largest and most experienced health care benefit companies in the country. At Blue Cross and Blue Shield of Nebraska, our story is all about you – the people we’ve been serving since 1939. As a company born and raised in Nebraska, we believe it’s our responsibility to be an active member of the communities where we live and work alongside our customers. We envision a health care world without confusion that adds more good years to peoples' lives, and we consider it an honor to be there for you when you need us. Thank you for letting us be part of your story. 1939 was the beginning of a long tradition of health care coverage in Nebraska. Blue Cross and Blue Shield of Nebraska is a mid-size Nebraska business whose mission is to lead the way in supporting patient-focused care. We see the future of healthcare as one without confusion that adds more good years to peoples'​ lives. As a Nebraska-based company, we believe it’s our responsibility to be an active member of the communities in which our customers live and work.

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