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Retrieval Augmented Generation Rag Jobs in Rochester, MI

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...

Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts. * Experience ...

Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments. * Experience in manufacturing, defense, automotive, or industrial ...

Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments * Experience in manufacturing, defense, automotive, or industrial ...

Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments. * Experience in manufacturing, defense, automotive, or industrial ...

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

The primary focus remains on Generative AI, LLMs, agentic workflows, retrieval-augmented generation (RAG), and enterprise copilots, with an emphasis on responsible AI, governance, and scalable ...

Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments * Experience in manufacturing, defense, automotive, or industrial ...

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Retrieval Augmented Generation Rag information

See Rochester, MI salary details

$13

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How much do retrieval augmented generation rag jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for retrieval augmented generation rag in Rochester, MI is $18.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $19.47 per hour, depending on experience, location, and employer.
What job categories do people searching Retrieval Augmented Generation Rag jobs in Rochester, MI look for? The top searched job categories for Retrieval Augmented Generation Rag jobs in Rochester, MI are:
AI / ML Architect : Auburn Hills, MI / Onsite : Contract on w2

AI / ML Architect : Auburn Hills, MI / Onsite : Contract on w2

Marvel Technologies Inc

Auburn Hills, MI • On-site

$60.25 - $77.50/hr

Contractor

Posted 23 days ago


Job description

Role: AI / ML Architect

Location: Auburn Hills, MI / Onsite

Duration: Long Term

Job Summary: 

We are seeking an experienced AI/ML Architect to design and develop conversational AI solutions using Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and software architecture, with expertise in building scalable and efficient conversational AI systems. The AI/ML Architect will work closely with cross-functional teams to develop AI-powered chatbots that leverage company documents and data to provide accurate and informative responses.

Key Responsibilities:

- Design and implement conversational AI architectures using RAG techniques

- Develop and train machine learning models for NLP tasks such as text classification, entity recognition, and language generation

- Integrate company documents and data into the conversational AI system

- Collaborate with software engineers to develop scalable and efficient software applications

- Conduct experiments and evaluations to improve the performance and accuracy of the conversational AI system

- Stay up-to-date with the latest advancements in NLP, machine learning, and conversational AI

Requirements:

 - Master's degree in Computer Science, AI/ML, or related field

- 5+ years of experience in AI/ML, with a focus on NLP and conversational AI

- Strong understanding of RAG techniques and their applications in conversational AI

- Experience with deep learning frameworks such as TensorFlow or PyTorch

- Knowledge of software architecture and design patterns

- Excellent problem-solving and analytical skills

- Strong communication and collaboration skills

- Relevant certifications (e.g., Certified Data Scientist) a plus

Nice to Have:

- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform)

- Knowledge of graph-based neural networks and their applications in NLP

- Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes)

- Experience with agile development methodologies