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Langchain Developer Jobs in Michigan (NOW HIRING)

As an AI-focused Software Engineer in Marketing Enterprise Analytics, you will architect systems ... like LangChain, LangGraph, or LlamaIndex to automate complex marketing analytics workflows.

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 ...

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 ...

... leveraging LangChain, LlamaIndex, MCP, and agent-to-agent (A2A) protocols; build tooling for ... engineering. • Work hands-on with large language models, vector databases (Pinecone, FAISS), and ...

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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 Jul 13, 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 job?

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 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 key skills and qualifications needed to thrive in the Langchain Developer position, and why are they important?

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 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:

AI / Python / Node JS Developer

Meta Force Technology Staffing LLC

Detroit, MI • On-site

$60 - $65/hr

Contractor

Re-posted 25 days ago


Job description

AI /Python/Node.js/Typescript Developer
Detroit, MI or Austin, TX
Duration: 12 Months+
 
Rate: Open We’re looking for developers who can build AI agents across Glean and Slack. Specifically, we need folks who can take enterprise workflows (IT, HR, MFG, Supply Chain, etc.) and turn them into operational agents using LLMs, RAG, and API integrations.
Core skills needed:
 
  • Building Glean agents (conversational flows, task automation, RAG patterns, tool calling)
  • Building Slack agents using Bolt, workflows, functions, events, and API integrations
  • Strong Python/Node/TS engineering background
  • Experience with LLM frameworks (LangChain, LangGraph, or equivalent)
  • Ability to create a reusable agent boilerplate for multi-step reasoning
  • Integrating with enterprise systems (Workday, Jira, Salesforce, ServiceNow, etc.)
  • Understanding of security, governance, and logging requirements at enterprise scale