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Ai Rag Jobs in Michigan (NOW HIRING)

Aquent Talent

AI Software Developer [211339]

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions ... Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency for peak ...

Deloitte

Google AI Architect

Detroit, MI

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Versigent

AI Build Engineer Manager

Troy, MI · On-site

You are a hybrid architect developer who excels at translating complex AI concepts-such as Agentic workflows, orchestration patterns, and RAG architectures-into "Golden Path" reference ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) * Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) * Cloud-based AI architectures ...

Verisk

Guide technical decisions involving LLMs, RAG, model fine-tuning/customization, prompt engineering, and agentic AI patterns . * Establish effective approaches for GenAI evaluation, testing ...

New

Orbotech

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

Implement retrieval-augmented generation (RAG) architectures using internal and external data ... Ensure responsible AI practices, including privacy, security, and bias mitigation * Rapidly ...

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Ai Rag information

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Michigan?

For Ai Rag jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Michigan look for?

The top searched job categories for Ai Rag jobs in Michigan are:

What cities in Michigan are hiring for Ai Rag jobs?

Cities in Michigan with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Software Engineer Cloud & AI Platforms

Dearborn, MI

Stefanini Group
IT Services • 10K+ employees
Learn more about Stefanini Groupexternal

$112K - $148K/yr

Contractor

Posted 10 days ago

Job description

Stefanini Group is hiring!

Stefanini is looking for a Senior Software Engineer - Cloud & AI Platforms, Dearborn, MI (Onsite)

For quick apply, please reach out Adil Khan at 248-728- 6424/Adil.khan@stefanini.com


 We are seeking a highly skilled Senior Software Engineer - Cloud & AI Platforms to join our team and help build and expand modern cloud-native and AI-enabled solutions across Product Development.

This role will focus heavily on backend engineering, Google Cloud Platform (GCP), DevOps, platform engineering, enterprise integrations, and AI engineering. The successful candidate will be hands-on technically while also providing the vision, architecture, and technical guidance needed to help establish and grow a new engineering team.

The ideal candidate has strong experience developing scalable APIs and cloud services, building CI/CD pipelines, integrating enterprise systems, and developing AI-powered applications. Experience with modern AI architectures such as Retrieval-Augmented Generation (RAG), agentic workflows, and Model Context Protocol (MCP) is highly valued.

Responsibilities

  • Design, develop, and support scalable cloud-native applications and backend services.
  • Build and enhance AI-enabled applications supporting engineering, business, and operational workflows.
  • Develop APIs, microservices, and enterprise integrations using modern software development practices.
  • Build and maintain solutions using Google Cloud Platform (GCP), including Cloud Run and BigQuery.
  • Develop reusable platform capabilities for AI retrieval, orchestration, prompt management, evaluation, telemetry, and feedback workflows.
  • Integrate applications with enterprise knowledge sources, business systems, workflow platforms, and AI services.
  • Support emerging AI architectures, including RAG, agentic workflows, MCP, and intelligent workflow automation.
  • Design and implement CI/CD pipelines and DevOps practices for cloud-based applications.
  • Contribute to solution architecture, technical design, coding standards, and engineering best practices.
  • Evaluate emerging technologies and help establish reusable AI engineering standards and frameworks.
  • Provide technical leadership, mentorship, and guidance as the engineering team expands.
  • Contribute across the application stack, including frontend technologies such as Angular, when needed.

Experience Required

  • 10+ years of overall IT experience.
  • 8+ years of software development experience.
  • Senior-level software engineering experience with strong backend development expertise.
  • Practical experience with at least two programming languages, or advanced proficiency in one programming language.
  • Strong, hands-on Google Cloud Platform (GCP) experience.
  • Hands-on experience with GCP Cloud Run and BigQuery.
  • Experience with data analysis and cloud-based data solutions.
  • Experience with containerization and modern cloud-native development.
  • Strong experience developing APIs, backend services, and enterprise integrations.
  • Experience with DevOps practices and CI/CD pipelines.
  • Hands-on experience developing or integrating AI/ML solutions and AI services.
  • Strong understanding of software architecture and system design.


 Experience Preferred

  • Experience working within an automotive or Product Development environment.
  • Strong experience with enterprise AI platforms and modern AI application architectures.
  • Experience with RAG, agentic AI workflows, MCP, LLM integration, prompt engineering, AI evaluation, and telemetry.
  • Experience with Angular and modern UI/UX development.
  • Experience establishing reusable engineering frameworks, standards, and platform capabilities.
  • Experience providing technical leadership or architecture guidance to engineering teams.

 

Education Required

  • Bachelor's degree in a relevant field.

**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process, including interviews and job offers.

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

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Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR

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