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Ai Rag Jobs in Michigan (NOW HIRING)

Data Engineer AI

Detroit, MI · On-site

$104K - $125K/yr

You are a "day-one" builder who ensures that data is not just moved, but engineered for the specific requirements of model training, feature stores, and RAG-based AI systems. Key Responsibilities • ...

New

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements ... Implement responsible AI practices including guardrails, content filtering, access controls ...

Job Title AI/ML Solutions Architect (GenAI & RAG) Overview / Summary We are seeking an experienced AI/ML Solutions Architect with 10+ years of software engineering and/or data science experience ...

Technical Architect - AI

Auburn Hills, MI · On-site

$62.75 - $75.75/hr

Build and optimize RAG architectures, semantic search frameworks, embedding pipelines, and ... AWS AI & Cloud Architecture * Architect AI solutions using Amazon Bedrock, SageMaker, Amazon Q ...

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Showing results 1-20

Ai Rag information

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.

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.

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 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:
Sr. AI Product Manager (LLM, RAG & Agentic AI Systems) - Only on W2

Sr. AI Product Manager (LLM, RAG & Agentic AI Systems) - Only on W2

Miracle Software Systems, Inc.

Dearborn, MI • On-site

$116K - $153K/yr

Other

Posted 5 days ago


Job description

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

Description:
We are looking for an experienced AI Product Manager to lead the strategy, development, and delivery of AI-powered products that transform sales and service operations from reactive to predictive and personalized. You will define product vision, drive roadmap execution, and build scalable AI solutions leveraging modern architectures such as RAG and Agentic AI systems.

Key Responsibilities
Product Strategy & Vision
Define and drive product vision, roadmap, and AI strategy aligned with business goals
Identify high-impact use cases using AI/ML to improve Sales & Services outcomes
Ensure strong product-market fit balancing business, user, and technical needs
Apply knowledge of RAG vs Agentic RAG and modern AI architectures

Stakeholder Management
Partner with business, engineering, and design teams to deliver AI solutions
Translate business needs into clear product requirements and priorities
Drive MVP-based, iterative delivery with continuous feedback loops

Development & Delivery
Lead cross-functional teams (AI/ML, data, engineering, design)
Deliver scalable, secure AI products integrated into customer-facing platforms
Own backlog, PRDs, user stories, and product metrics/KPIs

Innovation
Stay current with AI trends (LLMs, RAG, Agentic AI, cloud)
Drive continuous improvement and innovation culture

Qualifications
Strong understanding of AI/ML concepts and modern AI systems
5+ years in Agile software development
3+ years as a Product Manager (owning roadmap, vision, backlog)

User Experience & Adoption
Improve adoption through onboarding, feedback, and experimentation
Use data-driven insights to enhance usability and performance

Preferred Skills
Experience delivering AI/ML or data-driven products to production
Familiarity with LLMs, RAG pipelines, and Agent-based systems
Experience with Agile (Scrum/Kanban), Lean, and human-centered design
Strong stakeholder management and communication skills

Education Required
Bachelor's 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