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Langchain Developer Jobs in Michigan (NOW HIRING)

Stefanini

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Full-stack software engineering roles, involving the development of all software components ... Familiarity with Generative AI frameworks and tools such as LangChain, OpenAI or Azure OpenAI APIs ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Stellantis

AI Engineer - Supply Chain

Auburn Hills, MI · On-site

As an AI Engineer - Supply Chain, you will design and build production-grade AI agents that execute ... Experience with agent frameworks (LangChain, Semantic Kernel, AutoGen) * Experience with RAG ...

Corning

Strong programming skills, preferably in Python ... Experience with AI/agent frameworks or tools such as LangChain, LlamaIndex, CrewAI, AutoGen ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models ... LangChain, similar ecosystems). * Solid background in deep learning and applied machine learning

Corning

$104K - $125K/yr

... LangChain, LlamaIndex, Semantic Kernel, or prompt-engineering practices. - Experience with industrial IoT, operational technology systems, PI Integrator, Camstar, or Maximo. - Experience with ...

Corning

$104K - $125K/yr

... LangChain, LlamaIndex, or Semantic Kernel. What do we offer? - A hybrid role based in Monterrey or Reynosa, Mexico.- The opportunity to lead technically challenging Data Engineering projects with ...

Versigent

AI Build Engineer Manager

Troy, MI

You are a hybrid architect developer who excels at translating complex AI concepts-such as Agentic ... Mastery of Python (FastAPI, LangChain, LlamaIndex); ability to build lightweight UIs using ...

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Langchain Developer information

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$14

$46

$71

How much do langchain developer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for langchain developer in Michigan is $46.05, according to ZipRecruiter salary data. Most workers in this role earn between $35.19 and $56.35 per hour, depending on experience, location, and employer.

What is a Langchain developer?

A Langchain Developer specializes in building applications using LangChain, a framework for developing AI-driven applications that leverage large language models (LLMs). Their role involves integrating LLMs with data sources, optimizing prompt engineering, and designing workflows for chatbots, automation, and knowledge retrieval. They often work with Python, APIs, and vector databases to enhance AI capabilities. The job requires expertise in natural language processing (NLP), machine learning, and cloud services.

What are the key skills and qualifications needed to thrive as a Langchain developer?

To thrive as a Langchain Developer, you need strong programming skills in Python, experience with large language models (LLMs), and a solid understanding of conversational AI workflow. Familiarity with tools and platforms such as LangChain, vector databases (e.g., Pinecone, FAISS), cloud services, and API integrations is commonly required. Excellent problem-solving, communication, and collaboration skills help you adapt to fast-paced AI projects and work effectively with cross-functional teams. These competencies are essential for designing, implementing, and optimizing advanced AI-powered applications that deliver real business value.

What are some typical challenges faced by Langchain developers and how do teams address them?

Langchain Developers often encounter challenges such as integrating new language models, ensuring data privacy, and maintaining prompt accuracy in dynamic real-world scenarios. Teams commonly address these difficulties by collaborating closely with data scientists, regularly updating their knowledge of evolving AI frameworks, and implementing robust testing protocols to ensure quality results. Continuous learning and knowledge-sharing within the team are encouraged so developers can quickly adapt to changes in technology or requirements. Additionally, cross-functional meetings and code reviews are held to align development with organizational goals and best practices. These efforts help ensure that projects remain innovative and effective while minimizing potential roadblocks.

What are the most commonly searched types of Langchain Developer jobs in Michigan?

The most popular types of Langchain Developer jobs in Michigan are:

What are popular job titles related to Langchain Developer jobs in Michigan?

For Langchain Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Langchain Developer jobs in Michigan look for?

The top searched job categories for Langchain Developer jobs in Michigan are:

Langchain Developer jobs near you
Infographic showing various Langchain Developer job openings in Michigan as of August 2026, with employment types broken down into 77% Full Time, 6% Part Time, 2% Temporary, 14% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $95,792 per year, or $46.1 per hour.

Other Service Line - Business Development - GENBDR

Ztek Consulting INC

Detroit, MI • On-site

Contractor

Re-posted 17 days ago

Job description

Job Title: Agentic AI engineer
Location:- Detroit 48226 or Charlotte 28202 (3 Days Hybrid)
Job Responsibilities:
Design, develop, and support cloud-native automation and Al agent workflows using Python and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures.
• Develop automation solutions using Python.
• Build Al agents using LangChain and LangGraph to orchestrate tools, APls, and workflows.
• Integrate automations with enterprise systems via REST APIs and databases.
• Containerize services using Docker and support CI/CD pipelines.
• Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
• Reasoning Engines: Experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs Azure OpenAI proficiency .
• Agentic RAG 2.0: Develop "iterative retrieval" systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
• Implement logging, error handling, and basic monitoring.
• Collaborate with onshore architects and follow defined architecture standards.
Must Have skills:
Python (automation, backend services).
• JavaScript (React/Node JS)
• LangChain and/or LangGraph hands-on experience.
• Docker and container-based deployments.
• AWS Cloud Practitioner-level knowledge with hands-on exposure.
• REST APIS, JSON, Git.