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Langgraph Jobs in Minnesota (NOW HIRING)

Senior AI Solutions Lead

Arden Hills, MN · On-site

$56 - $72/hr

Proven experience with agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI or similar technologies. * Familiarity with vector databases, embedding strategies and search ...

AI/ML Enablement Lead Engineer

Hopkins, MN · On-site

$104K - $137K/yr

Experience with AI orchestration and application frameworks such as LangChain, LangGraph, Semantic Kernel, MCP, or similar technologies. * Experience leveraging Azure OpenAI, OpenAI, Anthropic ...

Senior AI Engineer

Minnetonka, MN · On-site

$124K - $164K/yr

Have hands-on experience with agent frameworks or SDKs such as LangGraph, OpenAI Agents SDK, AutoGen, or comparable technologies. * Understand agent architecture patterns including orchestrator ...

Proficiency in Python and modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, TensorFlow, or equivalent technologies. * Experience with cloud-based AI and machine learning ...

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

Build, configure, and automate AI agents and agentic workflows (e.g., Microsoft Copilot Studio, Azure AI Foundry, LangChain/LangGraph, or equivalent) that integrate with QBP's enterprise systems and ...

Architect - Agentic AI

Maplewood, MN · On-site

$188K - $230K/yr

Advanced proficiency in Python and modern software engineering practices + agent frameworks such as LangGraph, AWS Strands or MS AutoGen. * Experience with RAG/memory architecture (chunking ...

Senior AI Solutions Lead

Arden Hills, MN · On-site

$58 - $74.75/hr

Proven experience with agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI or similar technologies. * Familiarity with vector databases, embedding strategies and search ...

Senior AI Engineer

Minnetonka, MN · On-site

$124K - $164K/yr

Have hands-on experience with agent frameworks or SDKs such as LangGraph, OpenAI Agents SDK, AutoGen, or comparable technologies. * Understand agent architecture patterns including orchestrator ...

Showing results 41-60

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 Minnesota?

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

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

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

What cities in Minnesota are hiring for Langgraph jobs?

Cities in Minnesota with the most Langgraph job openings:

Infographic showing various Langgraph job openings in Minnesota as of September 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution.

Senior AI ML Engineer - Remote

Eden Prairie, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

$124K - $164K/yr

Full-time

Retirement

Re-posted 24 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Optum Health is a patient-centered care organization serving communities nationwide by enabling high-quality, fully accountable, value-based care as part of Optum's mission to help millions of people live healthier lives. The work you do with our team directly improves health outcomes by connecting people with the care, resources, and support they need to feel their best. Join us to start Caring. Connecting. Growing together.

Position Summary

As a Senior AI/ML Engineer within the Optum Health & Financial Tech AI team, you will design and build enterprise-scale generative AI applications and agentic workflows that solve complex health and financial technology challenges. You will collaborate with cross-functional partners to develop multi-step reasoning systems, implement advanced Retrieval-Augmented Generation (RAG) pipelines, and craft responsive, full-stack experiences using modern frameworks like React, Next.js, Python, and PostgreSQL. By deploying innovative AI technologies safely and responsibly, you will directly support our mission of delivering impactful, context-aware digital solutions that improve health outcomes and operational efficiency.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Design, develop, and deploy enterprise-scale AI-powered solutions and LLM-powered applications using modern GenAI frameworks and APIs with an emphasis on the responsible use of AI
  • Develop agentic AI workflows, multi-step reasoning systems (with tool usage and memory), and advanced Retrieval-Augmented Generation (RAG) pipelines
  • Design and develop responsive frontend applications using React and Nextjs, and build backend services, APIs, and microservices using Python and Nodejs
  • Build systems for document ingestion, chunking, embeddings, semantic search, and advanced retrieval strategies (hybrid search, GraphRAG, contextual enrichment)
  • Design and optimize relational data models using PostgreSQL and integrate vector databases with relational data sources for contextual responses
  • Define end-to-end architecture spanning frontend, backend, AI, and data layers, ensuring performance, scalability, and reliability
  • Lead technical decision-making, design reviews, and code reviews, while mentoring junior engineers in AI engineering and full-stack best practices
  • Use enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous improvement across the development lifecycle
  • Evaluate emerging AI trends, frameworks, tools, and technologies to inform solution design, strategic innovation, and technical direction
  • Collaborate with product, business, and engineering teams to translate complex business requirements into scalable technical designs, communicating complex AI concepts to non-technical stakeholders

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 

Required Qualifications:

  • Bachelor's degree or equivalent experience (such as an additional 4 years of software development experience in lieu of a degree)
  • 6 years of professional experience in software engineering or AI/ML engineering
  • 4 years of hands-on experience with frontend technologies (React, Nextjs) and backend development (Python or Nodejs, and REST APIs)
  • 3 years of experience with relational database design and optimization using PostgreSQL
  • 2 years of experience building and deploying end-to-end Generative AI and LLM-powered applications in production
  • 2 years of experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines, including semantic search, embeddings, and vector databases
  • 1 years of experience with AI orchestration frameworks (such as LangChain, LangGraph, or CrewAI) or developing agentic, multi-agent AI workflows

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
  • Experience implementing hybrid search strategies, GraphRAG, and contextual enrichment patterns for document retrieval
  • Deep understanding of distributed systems, microservices architecture, and enterprise application scalability
  • Solid expertise in designing AI evaluation metrics and establishing safety guardrails for reliable model outputs
  • Proven ability to mentor engineering teams, lead technical design reviews, and establish best practices in full-stack and AI development
  • Proven excellent cross-functional communication skills, with the ability to translate complex technical AI concepts into clear business insights for stakeholders

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.  

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  

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