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Langgraph Jobs in Nebraska (NOW HIRING)

Forward Deployed AI Engineer

Omaha, NE · On-site +1

$200K - $250K/yr

Experience with modern AI tooling such as OpenAI, Anthropic, LangGraph, MCP, vector databases, or similar technologies. * Prior experience at a B2B SaaS company is highly preferred. * Strong Python ...

Senior AI Solutions Engineer

Omaha, NE · On-site

$128K - $216K/yr

Prior experience with at least one agent framework (LangChain/LangGraph, Anthropic's agent SDK, Semantic Kernel, AutoGen, CrewAI) * Bachelor's degree in computer science, or a relevant field, or an ...

LangChain, LangGraph, Claude API, OpenAI/Claude SDK, FastAPI, or similar frameworks. Familiarity with REST APIs, JSON, and basic cloud or serverless patterns is beneficial. Prior Technical Projects:

Langgraph information

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are popular job titles related to Langgraph jobs in Nebraska?

For Langgraph jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Langgraph jobs in Nebraska look for?

The top searched job categories for Langgraph jobs in Nebraska are:

AI Software Engineer

Omaha, NE • On-site


Blue Cross and Blue Shield of Nebraska
Insurance Services • 1 - 5K employees

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

208th of 313 rated insurance

People enjoy working here

Good employer

Recommended by parents


Full-time

This job post has expired 6 days ago. Applications are no longer accepted.


Job description

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.
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."
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. 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? 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.
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.
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.


What Blue Cross & Blue Shield Of Nebraska employees say

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