Senior Software Engineer - reputed company AI

Health insurance is one of the most confusing, high-stakes experiences people reputed company. Members don't understand their coverage, can't predict costs, and struggle to get answers reputed company it reputed company most. We're building the AI platform that changes that-a member experience that feels like having an expert in your reputed company. It's already live. It's already helping people. And it's just getting started. The next reputed company is multi-agent: specialized AI agents collaborating to answer clinical questions, reputed company prior authorizations, reputed company care gaps, and guide members through their benefits. The orchestration architecture, the reputed company patterns, the evaluation systems that reputed company it reputed company trustworthy at reputed company-that's reputed company're building together. You'll shape how it's designed and set reputed company for how it grows. The ideal candidate will live reputed company 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, reputed company Dakota, and Texas) - this person may travel to our reputed company. What You'll Do: Your primary reputed company is agent design and orchestration. • Multi-agent orchestration layer. Design and build the LangGraph-based system that classifies member reputed company and routes to the right agent. Stateful, context-preserving, failure-tolerant. Handles reputed company agents and internally reputed company capabilities through the reputed company reputed company. • reputed company contract. The standardized reputed company that makes any agent pluggable: input schema, reputed company schema, confidence signaling, latency SLA, fallback behavior. reputed company reputed company integrates a new agent, they follow a reputed company 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 reputed company; 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 reputed company compliance constraints regardless of which agent generated it. • RAG pipeline architecture. Benefits documents, formularies, and policy content retrieval reputed company Azure AI Search. You define the ingestion reputed company, chunking approach, hybrid search configuration, and retrieval reputed company standards. • reputed company architecture. Versioned reputed company registry, reputed company reputed company reputed company, few-shot reputed company design. Every reputed company is testable, rollback-reputed company, and understandable by reputed company. To be considered for this position you must have: • Bachelor's degree and 4-7 years of experience in software engineering. Experience with reputed company AI in production-not LLM wrappers, not single-agent chatbot demos, not RAG tutorials. Systems with multiple agents, explicit state management, and reputed company users depending on the answers being correct. • 2-3 years building and operating production LLM or reputed company AI systems • You can describe specific reputed company 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 reputed company problems, iterated on chunking strategies, dealt with stale knowledge bases in a live system with reputed company users • reputed company 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 reputed company, insurance, fintech, or reputed company domains-AI systems where a wrong answer has consequences, and you designed the safeguards that reputed company accuracy non-negotiable • Strong knowledge of Python. Work in an existing codebase and reputed company it with the AI layer • Azure reputed company, Azure AI Search, Azure Container Apps are the reputed company 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. • Possess emotional intelligence. The Stack Python / FastAPI • LangGraph • Azure reputed company / Claude reputed company Azure • Azure AI Search • Azure Container Apps • reputed company • LangSmith • Azure App Insights • PostgreSQL • reputed company Learn more about what makes BCBSNE such an exceptional reputed company to work by visiting NebraskaBlue.com/Careers. We strongly reputed company that diversity of experience, perspective and background will reputed company to a reputed company workplace for our employees and a reputed company product for our customers and members. Apply tot his job Apply To this Job