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Langgraph Jobs in Minnesota (NOW HIRING)

Irow9

AI Developer - Agentic AI

Plymouth, MN · On-site

Strong experience with LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation is required. Azure experience is a plus, but strong AI engineering experience on any cloud is ...

Cognizant

AI Architect

Minneapolis, MN · On-site

Select and evaluate frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, or custom orchestration) suited to enterprise‑scale deployment * Establish architecture standards for LLM ...

US Bank

Lead AI Platform Engineer

Hopkins, MN

$104K - $137K/yr

Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service * Evaluate emerging tools and frameworks to continuously improve solution ...

US Bank

Lead AI Engineer - Observability

Minneapolis, MN

$107K - $140K/yr

Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service * Evaluate emerging tools and frameworks to continuously improve solution ...

US Bank

Lead AI Platform Engineer

Minneapolis, MN

$107K - $140K/yr

Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service * Evaluate emerging tools and frameworks to continuously improve solution ...

US Bank

Lead AI Engineer - Observability

Hopkins, MN

$104K - $137K/yr

Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service * Evaluate emerging tools and frameworks to continuously improve solution ...

SmartIMS Inc.

Sr.AI Engineer

Minnetonka, MN · On-site

$106K - $146K/yr

Experience with ADK, LangGraph, or comparable agent orchestration technologies. * Experience with Azure AI Foundry and Azure AI Search. * Experience with retrieval-augmented generation, enterprise ...

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All JobsLanggraph JobsLanggraph Jobs in Minnesota

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:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Minnesota as of September 2026, with employment types broken down into 84% Full Time, 1% Part Time, and 15% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution.

AI Developer - Agentic AI

Plymouth, MN • On-site

Irow9
See more jobs at Irow9external

Other

Posted 8 days ago

Job description

Hands-on AI Developer building production-grade Agentic AI and RAG solutions for an enterprise AI platform. Strong experience with LangGraph/LangChain, multi-agent orchestration, Python/FastAPI, and LLM evaluation is required. Azure experience is a plus, but strong AI engineering experience on any cloud is considered.

Responsibilities
  • Build and maintain end-to-end production RAG pipelines, including ingestion, parsing, chunking, embeddings, vector/hybrid search, reranking, grounding, and citations.
  • Develop multi-agent systems using supervisor/specialist patterns, tool calling, agent state, and agent-to-agent communication.
  • Build and govern MCP tool contracts for retrieval and operational data.
  • Develop LLM evaluation and quality frameworks, including prompt versioning, regression testing, retrieval/answer evaluation, and hallucination control.
  • Design async Python/FastAPI services with OpenAPI-native APIs for AI, agent, and retrieval capabilities.
  • Build AI-powered user experiences using React/Next.js and TypeScript.
  • Deliver working software through weekly demos and milestone-driven development.
  • Build and deploy containerized services using technologies such as PostgreSQL and Redis.
Required Skills
  • 4–6 years of hands-on software engineering experience, including 2–3 years building LLM/Agentic AI solutions.
  • Proven experience shipping production RAG systems with real users and real retrieval-quality challenges.
  • Strong, code-level experience with LangGraph, LangChain, AutoGen, Microsoft Agent Framework, Semantic Kernel, CrewAI, or comparable agent frameworks.
  • Strong Python development skills with FastAPI, async programming, and API design.
  • Experience with RAG, embeddings, vector stores, hybrid search, semantic reranking, grounding, and citations.
  • Experience with LLM prompt engineering, structured outputs, evaluation, and quality control.
  • Ability to work independently, learn rapidly, adapt to new AI frameworks/models, and deliver production software.
  • Working proficiency with React/Next.js and TypeScript.
Preferred Skills
  • Experience with vector technologies such as pgvector, FAISS, Pinecone, Azure AI Search, or similar.
  • Experience with RAGAS or comparable evaluation frameworks.
  • Experience with PostgreSQL, Redis, and containerized deployments.
  • Experience delivering Agentic AI solutions specifically on Azure.
iROW9 Inc.

6045 Kimberly Lane N, Plymouth, MN USA 55446

+1 (612) 636-0037

iROW9 Pvt. Ltd
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