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

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Technical Lead (Applied AI)

Detroit, MI · On-site

Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG ... AI Evaluation & Production Readiness : defining evaluation methods, testing model behavior ...

FTE Factory Advisors

AI Systems Engineer

Detroit, MI · On-site

Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...

FTE Factory Advisors

AI Systems Engineer

Detroit, MI · On-site

Do you enjoy designing the systems behind AI agents, RAG applications, and data pipelines that run in real environments with data, security, and reliability constraints? If you're energized by ...

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

You will architect, develop, and maintain production-grade systems encompassing RAG pipelines ... and AI systems that support GenAI use cases including RAG, agentic workflows, and model ...

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 ...

Deloitte

Google AI Lead Architect

Detroit, MI · On-site

$54.75 - $75/hr

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 ...

Megan soft Inc

AI Engineer (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

AI Engineer (W2 Position) Location : Dearborn, MI (Hybrid) Duration: 12+ Months Experience: 8+ ... Experience with RAG, Lang Graph, NLP to SQL, ADK, and A2A Behavioral and Technical Interviews ...

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 ...

Waltonen

AI Programmer

Warren, MI · On-site

Build AI-powered applications that support engineering, operations, manufacturing, and business ... Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker ...

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 ...

Waltonen

AI Programmer

Warren, MI · On-site

Build AI-powered applications that support engineering, operations, manufacturing, and business ... Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker ...

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Showing results 1-20

All JobsAi Rag JobsAi Rag Jobs in Rochester Hills, MI

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:
Ai Rag jobs near you
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.
Agentic AI Developer - Supply Chain

Agentic AI Developer - Supply Chain

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 2 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

We are building an AI-enabled supply chain that reasons, decides, and acts. As an Agentic AI Developer, you will design and build production-grade AI agents that execute multi-step workflows, make context-aware decisions, and integrate with enterprise systems through APIs, microservices, and workflow platforms.
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 across the supply chain.
Responsibilities include but not limited to:
  • Build autonomous AI agents using LLMs, reasoning frameworks, tool-calling, memory, and guardrails
  • Design multi-step planning and decision logic that enables agents to act safely and intelligently
  • Integrate agents with APIs, microservices, and workflow systems (e.g., Logic Apps, Power Automate)
  • Develop evaluation frameworks to measure agent performance, reliability, and safety
  • Collaborate with data science, automation, and product teams to embed predictive and prescriptive signals into agent workflows
  • Translate business processes into structured agent behaviors and decision flows
  • Ensure compliance, observability, and governance for agentic systems

Basic Qualifications:
  • Bachelor's or Master's degree in computer science, data science, engineering, or a related field
  • 8+ years of professional software and/or AI engineering experience, including 3+ years supporting supply chain or enterprise operations
  • Demonstrated ability to operate independently and own production services end-to-end (design, build, deploy, monitoring, incident response) with minimal oversight
  • Strong software engineering skills (Python preferred)
  • Hands-on experience with LLMs, prompt engineering, agent frameworks, or orchestration tools
  • Understanding of APIs, microservices, and event-driven architectures
  • Familiarity with supply chain processes or enterprise systems
  • Experience designing multi-step workflows or decision logic
  • Ability to translate business logic into structured agent behaviors

Preferred Qualifications:
  • PhD degree in data science, computer science, or related field
  • Experience with agent frameworks (LangChain, Semantic Kernel, AutoGen)
  • Experience with RAG, vector databases, or memory architecture
  • Familiarity with observability, evaluation frameworks, and safety guardrails
  • Experience integrating agents with ERP, WMS, TMS, or supply chain APIs

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