ZipRecruiter

Log In

1

Langgraph Jobs in Minnesota (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Minneapolis, MN

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

Kobie Marketing

AI Engineer

Minneapolis, MN · Remote

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory * Package agent harnesses for the ...

Team Velocity Marketing

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred Experience * Marketing analytics and personalization * Automotive or SaaS industry experience

New

Slalom Consulting

General Information

Minneapolis, MN · On-site

$70 - $110/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strands preferred, LangGraph, CrewAI, or similar acceptable with transferable patterns * Strong AWS Bedrock experience * Fluent with Lambda, DynamoDB, IAM real prompt engineering About Us Slalom is a ...

Abotts Inc

Senior AI Engineer

Eden Prairie, MN · On-site

$120 - $160/hr

Familiarity with agent frameworks (LangGraph, AutoGen, Semantic Kernel, CrewAI, Claude Agent SDK). * Experience with MLOps / LLMOps tooling -- MLflow, Kubeflow, Weights & Biases, Vertex AI Pipelines.

US Bank

Software Engineer 2 (Backend AI)

Saint Paul, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Designed and implemented intelligent AI workflows using agentic frameworks including LangChain, LangGraph, Semantic Kernel, and related orchestration technologies. * Integrated Azure OpenAI, Azure AI ...

Posted today

Target

Lead Engineer Cyber AI - AI Expert

Minneapolis, MN

$132K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LangGraph, Google ADK, and Huggingface models Demonstrated knowledge and interest in cybersecurity 4 year degree or equivalent experience 7+ years of software development experience with at least one ...

next page

Showing results 1-20

All JobsLanggraph JobsLanggraph Jobs in Minnesota

Langgraph information

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 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 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 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 August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

AI Engineering & Agentic Systems Engineer

eTeam

Eden Prairie, MN • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
eTeam is looking for a hands-on AI Engineering & Agentic Systems Engineer with experience in building production-grade AI applications. The role focuses on developing scalable AI solutions using Large Language Models and multi-agent systems, requiring strong software engineering skills.
Responsibilities:
• Design and develop AI-powered applications using LLMs and Agentic AI frameworks.
• Build multi-agent workflows using LangChain, LangGraph, and Google ADK.
• Develop scalable RAG-based applications with Vector Databases.
• Integrate enterprise systems using REST APIs, Kafka, and cloud services.
• Build reusable AI platform components for prompt orchestration, agent frameworks, and AI workflows.
• Develop production-ready AI services using Python, FastAPI, Docker, and Kubernetes.
• Implement monitoring, logging, evaluation, and governance for AI applications.
• Build automated CI/CD pipelines and deploy applications in GCP or AWS.
• Work closely with cross-functional teams to deliver enterprise AI solutions.
• Mentor developers and promote AI-first engineering best practices.
Qualifications:
Required:
• 10+ years of software engineering experience
• Strong Python programming experience
• Hands-on experience building production LLM-powered applications
• Experience with Agentic AI frameworks and tools: Google Agent Development Kit (ADK), LangChain, LangGraph, Model Context Protocol (ClientP/FastClientP or similar), A2A / ACP agent communication protocols
• Experience with LLM APIs: Vertex AI / Gemini, AWS Bedrock, OpenAI
• Experience with Retrieval-Augmented Generation (RAG)
• Multi-Agent orchestration
• Function Calling and Structured Outputs
• Human-in-the-Loop (HITL) workflows
• FastAPI and AsyncIO
• REST API development
• Apache Kafka or GCP Pub/Sub
• Docker and Kubernetes
• CI/CD using GitHub Actions or Cloud Build
• Cloud experience (GCP preferred, AWS acceptable)
• Vector Databases
• PostgreSQL / SQL
• MongoDB, Firestore, or other NoSQL databases
• Git
Preferred:
• TypeScript / JavaScript
• Terraform or Infrastructure as Code
• Redis
• OpenTelemetry
• Grafana
• Open Policy Agent (OPA)
• SPIFFE / Workload Identity
• Prompt management and evaluation tools
• Responsible AI and AI governance
• AI observability and monitoring
• Healthcare or Insurance domain experience
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Apply