1

Langchain Developer Jobs in Michigan (NOW HIRING)

The engineer will develop scalable backend services, prototype intuitive user interfaces, and ... Experience building AI products using LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex)

The engineer will develop scalable backend services, prototype intuitive user interfaces, and ... Experience building AI products using LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex)

The engineer will develop scalable backend services, prototype intuitive user interfaces, and ... Experience building AI products using LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex)

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel). * Advanced GCP & DevOps: GCP Certification ...

... like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure - Contributing to open-source projects or AI/ML ...

CTIO AI Engineering Manager

Detroit, MI · On-site

$73K - $244K/yr

... like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure - Contributing to open-source projects or AI/ML ...

... Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

... Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

Showing results 41-60

Langchain Developer information

See Michigan salary details

$14

$46

$71

How much do langchain developer jobs pay per hour?

As of Aug 23, 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 job categories do people searching Langchain Developer jobs in Michigan look for?

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

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.

AI Software Engineer|Manufacturing

Orbotech

Ann Arbor, MI • On-site

$111K - $188K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs), with a focus on integrating AI capabilities into user-facing products. This role emphasizes application development, orchestration, and user experience rather than model training. The engineer will develop scalable backend services, prototype intuitive user interfaces, and enable seamless interaction between users and LLM-based systems.
This position requires a strong blend of software engineering, systems thinking, and practical AI implementation to deliver production-ready solutions that leverage LLM APIs and frameworks.Design and develop end-to-end AI applications that leverage LLMs for business use cases

  • Build and maintain backend services that orchestrate LLM interactions, prompts, and workflows

  • Prototype and develop intuitive user interfaces that enable effective human-AI interaction

  • Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications

  • Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability

  • Implement retrieval-augmented generation (RAG) architectures using internal and external data sources

  • Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge bases)

  • Monitor, evaluate, and improve AI application performance using metrics such as latency, cost, and response quality

  • Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI-enabled solutions

  • Ensure responsible AI practices, including privacy, security, and bias mitigation

  • Rapidly prototype AI tools and iterate based on user feedback

Preferred Qualifications
  • Experience working in manufacturing

  • Experience building AI products using LLM frameworks (e.g., LangChain, Semantic Kernel, LlamaIndex)

  • Knowledge of retrieval-augmented generation (RAG) and vector databases (e.g., Pinecone, FAISS, Azure Cognitive Search)

  • Vector database (Milvus) for semantic search, along with a knowledge graph (Neo4j)

  • Experience orchestrating multi-step AI workflows or agent-based systems

  • Familiarity with enterprise data platforms and integrations (e.g., Snowflake, SAP, APIs, knowledge graphs)

  • Experience designing conversational interfaces or chat-based applications

  • Understanding of evaluation techniques for LLM outputs (quality, grounding, hallucination mitigation)

  • Exposure to prompt optimization, fine-tuning concepts (not necessarily hands-on training)

  • Experience deploying scalable microservices architectures

  • Strong UI/UX sensibility for AI-driven applications

  • Experience working in cross-functional teams delivering production-grade AI solutions

  • Bachelor's degree in Computer Science, Software Engineering, or related field

  • 3+ years of professional software development experience

  • Strong programming skills in Python, JavaScript, or similar languages

  • Experience building and consuming RESTful APIs

  • Hands-on experience integrating LLM APIs or similar AI services into applications

  • Familiarity with prompt engineering and LLM interaction patterns

  • Experience developing web-based user interfaces (e.g., React, Angular, or similar frameworks)

  • Understanding of cloud platforms (e.g., Azure, Snowflake)

  • Knowledge of software design principles, version control, and CI/CD practices

Minimum Qualifications

  • Master's Level Degree and related work experience of 6 years; OR Bachelor's Level Degree and related work experience of 8 years; OR equivalent work experience

Base Pay Range: $111,100.00 - $188,900.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.