1

Langchain Jobs in Michigan (NOW HIRING)

Develop agent frameworks (e.g., LangChain, AutoGPT, CrewAI, ReAct) or custom solutions * Integrate AI agents with enterprise systems (TMS, ERP, CRM, WMS) and external APIs * Design scalable, modular ...

Architect and build agentic AI applications using modern frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or AWS Bedrock Agents), enabling autonomous, multi-step reasoning and tool-use ...

New

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory * Package agent harnesses for the ...

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory * Package agent harnesses for the ...

Experience with agent frameworks (LangChain, Semantic Kernel, AutoGen) * Experience with RAG, vector databases, or memory architecture * Familiarity with observability, evaluation frameworks, and ...

Experience with AI/agent frameworks or tools such as LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic/Claude, Hugging Face , or similar technologies.Experience ...

Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, LangChain, similar ecosystems). * Solid background in deep learning and applied machine learning

next page

Showing results 1-20

Langchain information

What is a langchain?

A Langchain job typically involves working with Langchain, an open-source framework designed to build applications powered by large language models (LLMs). In this role, you may develop, integrate, and optimize AI-driven workflows, leveraging Langchain’s capabilities for tasks such as data retrieval, prompt management, and API interactions. Responsibilities often include building chatbots, knowledge retrieval systems, or automation tools using LLMs and Langchain components.

What does a langchain do?

As a Langchain Developer, your daily tasks often revolve around designing and building conversational AI applications, integrating language models using the LangChain framework, and troubleshooting NLP workflows. You may collaborate closely with data scientists, product managers, and UX designers to ensure that language-driven features align with user needs and business goals. Maintaining clear documentation, optimizing application performance, and participating in code reviews are also regular aspects of the role. This position offers a dynamic work environment where innovation, continuous learning, and cross-team communication are highly valued.

What skills and qualifications are needed to thrive as a langchain?

To thrive as a Langchain Developer, you need a strong background in Python programming, experience with natural language processing (NLP), and familiarity with the LangChain framework. Proficiency with large language models (LLMs), cloud platforms (such as AWS or GCP), and version control systems like Git is highly beneficial. Effective communication, problem-solving skills, and a collaborative mindset help you deliver robust AI-powered solutions and work seamlessly with cross-functional teams. These abilities are crucial for developing, deploying, and maintaining scalable, real-world language applications using advanced AI technologies.

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

The most popular types of Langchain jobs in Michigan are:

Infographic showing various Langchain job openings in Michigan as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Other Service Line - Business Development - GENBDR

Detroit, MI • On-site

Contractor

Re-posted 10 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.