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Rag Engineer Jobs in Michigan (NOW HIRING)

Amway

Sr AI Engineer

Ada, MI · On-site

$115K - $142K/yr

Sr AI Engineer Posting Start Date: 7/14/26 Posting Location: Ada (Grand Rapids), MI Requisition ID ... Build and tune RAG systems (chunking strategies, embeddings, vector stores, hybrid search ...

SwiftCruit

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

Engineer audio systems and integrated technology platforms that augment the driving experience ... Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements ...

New

Corning

$111K - $146K/yr

Build and support chatbot, RAG, conversational AI, and model-connected application capabilities ... Help create reusable patterns, improve engineering practices, and mentor less experienced engineers ...

Corning

Lead or support chatbot, RAG, conversational AI, agentic AI, and AI assistant integration ... Mentor engineers and help grow the AI engineering capability within COC Digital & IT. What do you ...

Corning

$93K - $122K/yr

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... What would be a plus? -Experience leading enterprise AI, GenAI, chatbot, RAG, or AI assistant ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Proven experience in building and deploying RAG systems, including the use of **Vector Databases**. * Proficiency in Python programming. * Solid experience with SQL for data manipulation and querying.

Stefanini

MLOps Engineer

Dearborn, MI · On-site

Develop and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG ... Strong programming experience in Python, including backend development, API design, automation, and ...

Stellantis

AI Engineer - Supply Chain

Auburn Hills, MI · On-site

This is an AI engineering role focused on agent orchestration, tool-calling, RAG/context retrieval, evaluation, and safety guardrails-enabling autonomous planning, logistics, and operations decisions ...

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt pipelines • Retrieval-Augmented Generation (RAG) using enterprise data • Model evaluation and drift ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Develop and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG ... Strong programming experience in Python, including backend development, API design, automation, and ...

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

RAG (Retrieval-Augmented Generation) architectures * Agentic frameworks (LangChain, LlamaIndex, or ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

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All JobsRag Engineer JobsRag Engineer Jobs in Michigan

Rag Engineer information

See Michigan salary details

$51.9K

$78.9K

$133.8K

How much do rag engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for rag engineer in Michigan is $78,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $91,500.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

What are popular job titles related to Rag Engineer jobs in Michigan? For Rag Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Michigan look for? The top searched job categories for Rag Engineer jobs in Michigan are:
What cities in Michigan are hiring for Rag Engineer jobs? Cities in Michigan with the most Rag Engineer job openings:
Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, 20% Hybrid, and 7% Remote job distribution, with an average salary of $78,889 per year, or $37.9 per hour.

AI Engineer (GenAI & RAG)

GG Tech Global

Grand Rapids, MI • On-site

Other

Posted 18 days ago

Job description

Job Title: Lead AI Engineer (GenAI & RAG)Overview / Summary

We are seeking an experienced Python Developer with 10+ years of software engineering experience, including 1+ years of experience with AI/RAG.

Key Responsibilities
  • Lead onsite and offshore development teams.
  • Help the product owner and development team achieve customer satisfaction.
  • Connect with stakeholders to understand customer requirements in detail and translate business requirements for the offshore team.
  • Remove impediments and coach the team on resolving blockers.
  • Help development teams identify and address gaps in the agile framework.
  • Resolve conflicts and issues that occur during project execution.
  • Support the product owner by providing clarifications when needed.
  • Document business meeting requirements and notes, and track and close action items.
Required Qualifications
  • 10+ years of experience in software engineering and/or data science.
  • 1+ years of experience in AI/RAG/ML development roles.
  • Strong knowledge of Retrieval-Augmented Generation (RAG).
  • Knowledge of machine learning, deep learning, and natural language processing (NLP).
  • Knowledge of Azure services.
  • Understanding of APIs, microservices, and distributed systems.
  • Knowledge of vector databases.
  • Understanding of DevOps/CI-CD pipelines for machine learning and AI.
  • Exposure to AI governance and compliance.
  • Good communication skills.

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