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Langgraph Jobs in Ohio (NOW HIRING)

JPMorganChase

Applied AI ML-Vice President

Columbus, OH · On-site

... LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search) • Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins ...

RPM International, Inc.

Associate, AI Analyst

Medina, OH · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Databricks, LangGraph, Copilot Studio, Claude Code, GitHub * Strong communication and presentation skills. * Ability to work collaboratively across cross-functional teams. * Analytical mindset with ...

Kop-Coat, Inc.

Associate, AI Analyst

Medina, OH · Hybrid

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Databricks, LangGraph, Copilot Studio, Claude Code, GitHub * Strong communication and presentation skills. * Ability to work collaboratively across cross-functional teams. * Analytical mindset with ...

RPM International Inc.

Associate, AI Analyst

Medina, OH · Hybrid

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Databricks, LangGraph, Copilot Studio, Claude Code, GitHub * Strong communication and presentation skills. * Ability to work collaboratively across cross-functional teams. * Analytical mindset with ...

Tremco Construction

Associate, AI Analyst

Medina, OH · Hybrid

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Databricks, LangGraph, Copilot Studio, Claude Code, GitHub * Strong communication and presentation skills. * Ability to work collaboratively across cross-functional teams. * Analytical mindset with ...

Westfield

AI Engineer

Westfield Center, OH · Hybrid

Hands-on experience with any AI orchestration frameworks (e.g., LangChain, LangGraph, OpenAI Agents SDK, PydanticAI or similar). * Containers/orchestration experience: solid containerization ...

Emerson

Embedded Systems Platform Engineer

Elyria, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Architect automated orchestration frameworks (e.g., using LangGraph or similar) to streamline the translation of system requirements into verifiable architectural models. * Design and develop ...

Collabera Digital

AI/ML Engineer

Columbus, OH · On-site

$120K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with agent frameworks and orchestration technologies, including LangChain and/or LangGraph. Desired Qualifications * Experience with Cloud platform. Location Columbus, OH or Wilmington, DE ...

Westfield

AI Engineer

Westfield Center, OH · On-site

Hands-on experience with any AI orchestration frameworks (e.g., LangChain, LangGraph, OpenAI Agents SDK, PydanticAI or similar). * Containers/orchestration experience: solid containerization ...

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex. * Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search ...

Hexion, Inc.

AI Applications Developer

OH · On-site +1

LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI. * Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and structured outputs. * Hands ...

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All JobsLanggraph JobsLanggraph Jobs in Ohio

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 Ohio?

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

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

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

What cities in Ohio are hiring for Langgraph jobs?

Cities in Ohio with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Applied AI ML-Vice President

JPMorganChase

Columbus, OH • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. In this role, you will apply strong technical judgment to enhance machine learning solutions and drive innovation, ensuring that the technology products are secure, scalable, and reliable.
Responsibilities:
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
• Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
• Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
• Promote software and model quality, integrity, and security across the organization
Qualifications:
Required:
• BS in Computer science or similar fields with 5+ years experience or MS in Computer science or similar fields with 3+ years experience, with training and work experience in LLM/NLP and search.
• Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
• Experience in machine learning frameworks, ML Ops tools and practices.
• Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
• Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
• Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
Preferred:
• Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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