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Ai Rag Jobs in Rochester Hills, MI (NOW HIRING)

Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development. * Experience developing dashboards, web ...

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis). * Requirement Engineering: Experience in a product ...

AI AWS Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

AI AWS Data Engineer - Unstructured Data & Document Processing Location: Detroit, MI Position ... Understanding of embeddings, semantic search, RAG, and document indexing concepts. * Experience ...

Agentic AI, AI & Data Science Engineer

Detroit, MI · On-site

$113K - $136K/yr

Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG ... Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio;

AI/ML Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Experience leveraging AI tools to improve engineering productivity (e.g., agentic workflows, RAG-based solutions) * Background in product engineering and requirements translation for AI ...

The AI Platform Engineeris accountable for designing, building, and operating the core AI platform ... Familiarity with LLM deployment patterns, agent frameworks, and retrieval-augmented generation (RAG ...

New

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that ... Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs ...

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that ... Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs ...

... frameworks, RAG, embeddings, and AI-enabled development environments. • Ability to assess AI coding solutions based on productivity, quality, scalability, security, integration, cost, and ...

Familiarity with prompt engineering, agent workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments. * Ability to assess AI coding solutions based on productivity ...

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Showing results 1-20

Ai Rag information

See Rochester Hills, MI salary details

$29.5K

$53.6K

$76.9K

How much do ai rag jobs pay per year?

As of Jul 17, 2026, the average yearly pay for ai rag in Rochester Hills, MI is $53,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,100.00 and $59,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 are popular job titles related to Ai Rag jobs in Rochester Hills, MI? For Ai Rag jobs in Rochester Hills, MI, the most frequently searched job titles are:
What cities near Rochester Hills, MI are hiring for Ai Rag jobs? Cities near Rochester Hills, MI with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Rochester Hills, MI as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $53,612 per year, or $25.8 per hour.
AI & Automation Engineer

AI & Automation Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 29 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key Responsibilities
  • Design and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activities
  • Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review
  • Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms
  • Develop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environments
  • Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation tools
  • Identify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AI
  • Ensure scalable, maintainable, and well-documented code following software development best practices

Basic Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.
  • Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.
  • 7+ years of relevant experience in this field
  • Experience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.
  • Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.
  • Ability to analyze engineering processes and translate them into structured automation solutions.
  • Strong problem-solving, communication, and collaboration skills.
  • Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.

Preferred Qualifications:
  • Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development.
  • Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.
  • Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.
  • Familiarity with SQL, relational databases, data modeling, or database-driven application development.
  • Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.
  • Experience working with global teams and supporting adoption of new tools, methods, or automation practices.

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