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Langgraph Jobs in Michigan (NOW HIRING)

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.

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.Applied ...

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.

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.

Demonstrated experience building agentic AI systems using frameworks such as LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling * Proficiency in Python and ML development ...

AI Application Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

LangGraph, Airflow, Kubeflow, etc. * Strong DevOps and CI/CD tools * Proficiency in cloud-based architecture and experience with infrastructure automation (Terraform, Kubernetes). #LI-RW1

Experience with AI agent frameworks, RAG architectures, and orchestration platforms (e.g., LangGraph, Haystack, or equivalent platforms) * Understanding of data modeling, data access patterns, and ...

Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent frameworks), and Model Context Protocol (MCP) integrations * Strong experience and understanding of ...

Senior Software Engineer (.NET )

Warren, MI · On-site +1

$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 ...

Showing results 21-40

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.

Artificial Intelligence & Expert Systems

IPS Technology Services

Dearborn, MI • On-site

$70 - $75/hr

Full-time

Posted 19 days ago


Job description

TITLE: Artificial Intelligence & Expert Systems
DURATION: 12 Months
LOCATION: 4 days a week in Dearborn, MI


W2 ONLY NO C2C; GC and USC only; REVIEW JD MAKE SURE REQUIRED SKILLS (highlighted red) ARE ON THE RESUME, IF NOT, DON’T SEND.

Job Description:

This is a hands-on individual contributor role focused on building AI/agentic systems for an Enterprise Data Platform, with emphasis on multi-agent orchestration on Google Cloud Platform (GCP)

Key expectations include:
  • Architecture: Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records.
  • Hands-on coding: Daily production-grade code across agent frameworks, backend/frontend, LLM-powered workflows (NL-to-SQL, semantic search, metadata enrichment), plus guardrails and observability for AI outputs. Familiarity with Agentic coding tools like opencode, Claude code etc is expected.
  • Full-stack work: Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership.
  • Engineering excellence: Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent failures, and act as the team's technical anchor for tough problems.
  • Collaboration: Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning, and help onboard new hires. In short, the role combines deep technical architecture responsibility with daily hands-on coding, centered on building robust, scalable multi-agent AI systems and serving as the team's go-to technical expert.
Skills Required:
  • Artificial Intelligence & Expert Systems
Skills Preferred:
  • GCP
Experience Required:
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of professional software engineering experience with demonstrated hands-on coding proficiency.
  • Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments.
  • Proven ability to interpret ambiguous requirements and independently deliver functional, well-tested software.
Experience Preferred:
  • 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.
  • Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics.
Education Required:
  • Bachelor's Degree
Education Preferred:
  • Master's Degree


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About IPS Technology Services

Sourced by ZipRecruiter

In today's Tech driven world, Businesses and Organizations need to stay on the cutting edge to thrive and outshine the competition. We at IPS Technology Services fully understand the need today's business has for a full spectrum of IT services delivered in a Transparent, Cost effective way. Our dedicated team has many combined years of experience in several tech sectors, allowing us to offer a vast array of services, including IT staffing, CIO advisory, Digital marketing, Systems development and both Healthcare and engineering IT. In addition, we even offer IT outsourcing services to clients who need operation support for older systems that they still rely on. We will never force you to abandon the system that works for your needs–at IPS Technology Services, we fully understand that each company is different and there is no one-size fits all solution.

Company size

11 - 50 Employees

Headquarters location

Troy, MI, US

Year founded

2004

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