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Langgraph Jobs in Michigan (NOW HIRING)

Senior Software Engineer (.NET )

Warren, MI · On-site

$115K - $151K/yr

Experience with AI agent frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar Orchestration frameworks * Familiarity with AI governance, model risk, hallucination ...

Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI, or LangGraph. * Familiarity with data engineering practices and data governance processes.

Showing results 41-58

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 cities in Michigan are hiring for Langgraph jobs? Cities in Michigan with the most Langgraph job openings:
Infographic showing various Langgraph job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Software Engineer, AI Enablement

Ford Motor Company

Dearborn, MI • On-site

$97K - $192K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted yesterday


Job description

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

We are seeking a Senior Software Engineer to design and build AI-powered agents that enable intelligent discovery, recommendation, and management of enterprise ontology assets.

The ideal candidate combines strong software engineering skills with practical experience applying AI techniques to solve complex information discovery, recommendation, and search. This individual will evaluate alternative technical approaches, make architecture recommendations, and deliver scalable production solutions.

  • Bachelor's degree in computer science, Information Systems, or a related field.
  • 7+ years of professional experience in Data Science or Software Engineering building scalable production systems.
  • 5+ years of experience working with Python/Java/Javascript/Angular programming languages. 
  • Experience in building autonomous agents using agent orchestration frameworks such as  LangGraph/LangChain/Google ADK or Similar Technologies.
  • Experience implementing tool integration patterns (MCP), agent communication protocols, and AI application observability.
  • Experience with vector search or hybrid retrieval architectures.
  • Experience working with GCP services (Vertex AI, Cloud Run, and BigQuery) or similar cloud platforms for deploying scalable AI solutions.
  • Strong problem-solving and system design skills.
  • Ability to evaluate competing technical approaches and articulate tradeoffs.
  • Experience working with large, complex datasets and information management systems.
    Even Better, you may have:
  • Experience with semantic technologies, search, recommendation systems, or knowledge graphs.
  • Experience working with graph databases, Graph-RAG applications.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

Vehicle discount program for employees and family members and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community service

A generous schedule of paid holidays, including the week between Christmas and New Year's Day

Paid time off and the option to purchase additional vacation time.

 
For a detailed look at our benefits, click here: https://fordcareers.co/GSR
This position ranges from salary grade 7-8 and ranges from $97,140-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
 
 

*Visa Sponsorship IS provided for this specific role*

*Relocation assistance is NOT provided for this specific role*

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Onsite

#LI-DS2 

  • Design and build AI-powered applications, agents, and intelligent workflows that improve discovery, recommendation, and management of enterprise ontology and metadata assets.
  • Evaluate and recommend technical approaches for semantic search, knowledge management, retrieval, and recommendation challenges.
  • Design and implement scalable backend services, APIs, and AI-enabled capabilities.
  • Build retrieval, ranking, and recommendation systems that support intelligent user experiences.
  • Collaborate with product managers, ontology experts, and domain stakeholders to translate business needs into technical solutions.
  • Conduct technical evaluations and proof-of-concepts for emerging AI technologies.
  • Drive architecture decisions, engineering best practices, and operational excellence.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982