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Ai Rag Jobs in Michigan (NOW HIRING)

Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

Lead or support chatbot, RAG, conversational AI, agentic AI, and AI assistant integration initiatives. Help create user-friendly interfaces and application experiences for AI agents and tools.Apply ...

Sr AI Platform Engineer

Dearborn, MI ยท On-site

$51 - $65.50/hr

Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including document ingestion ... Agentic AI Frameworks * Retrieval-Augmented Generation (RAG) * SQL * REST APIs * Docker

$93K - $122K/yr

What would be a plus? -Experience leading enterprise AI, GenAI, chatbot, RAG, or AI assistant initiatives. -Experience with MCP development or agentic AI solution patterns. -Experience with ...

As a Lead Software Engineer - AI, you will play a lead role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs ...

Senior Software Engineer, AI

Ann Arbor, MI

$119K - $158K/yr

As a Senior Software Engineer, AI, you will play a hands-on role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways ...

You will own and build the core components of NICE's AI platform, the integration layer, agent platform, Models Gateway, RAG pipelines, and developer tooling, working hands-on across the stack with ...

New

Lead Gen AI Engineer

Detroit, MI ยท On-site

$93K - $123K/yr

Deep expertise in RAG, LLM-powered chatbots, document extraction, and custom AI agents * Experience designing document review, scoring, and decision-support workflows * Strong knowledge of AI ...

AI/RPA Engineer

Kalamazoo, MI ยท On-site

$92K - $126K/yr

Retrieval-Augmented Generation (RAG) using enterprise data * Model evaluation and drift monitoring ... Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD). * Optimize ...

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Showing results 1-20

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 cities in Michigan are hiring for Ai Rag jobs?

Cities in Michigan with the most Ai Rag job openings:

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.

AI Product Manager - RAG & AI Agents (W2 Only)

Dearborn, MI โ€ข On-site

Miracle Software Systems, Inc.
IT Servicesย โ€ขย 1 - 5K employees

Other

Posted 2 days ago

New


Job description

Miracle Software Systems, Inc. is looking for AI Product Manager - RAG & AI Agents for long term Contract/Fulltime position available with following Job description.

Role Summary:
We are seeking an AI Product Manager focused on transforming customer and employee workflows through AI-enabled products. This role requires strong customer engagement, product thinking, project execution, and the ability to independently turn ambiguous business problems into valuable user experiences.

Key Responsibilities:
Engage directly with customers and stakeholders to understand needs, pain points, and workflows.
Conduct user research and translate findings into product requirements and priorities.
Identify opportunities to apply AI to improve customer experience and streamline processes.
Define product success metrics related to adoption, engagement, retention, usability, and business value.
Own the product roadmap, backlog, execution plan, and stakeholder communication.
Work closely with engineering, data science, design, and business teams to deliver solutions.
Proactively identify problems, recommend solutions, and drive work forward with limited oversight.
Manage delivery activities, dependencies, risks, and priorities in the absence of a dedicated project manager.

Preferred Qualifications:
Experience in product management, customer experience, business analysis, or product delivery.
Working knowledge of AI products, generative AI, machine learning, RAG, and AI agents.
Strong communication, stakeholder management, user research, and facilitation skills.
Experience defining and measuring the success of AI-enabled products.
Automotive industry or automotive workflow experience is preferred.
Comfortable working in an ambiguous, fast-moving product development environment.
Curious, proactive, and capable of independently driving outcomes.

Education Required:
Bachelors Degree

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------Miracle Software Systems, Inc. is Premier Partner of IBM and a National Implementation Partner of SAP since 1998.WE have been in business for the last 30 years specializing on SAP Implementations, SOA / EAI / B2B Technologies. We are also a reseller of IBM Software Products. We are a Global Systems Integrator with Presence in 5 Countries. We also have a Large Offshore Facility located in India. We specialize on BPM tools like IBM Lombardi / BPM7.5 and also have a large Sterling Commerce Practice. We also have a large E-Commerce Practice based on IBM Portals / WebSphere Commerce Server. Miracle B2B Practice has been built on WTX / Gentran / Data Power / WPG / Trading Manager / Sterling GIS and other leading Products in the Market. We are based out of Novi, Michigan.


Thanks & Regards,

Praveen Cheedi
Sr. HCM Executive
Miracle Software Systems, Inc.45625
Grand River AvenueNovi MI(48374) USA