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Freelance Retrieval Augmented Generation Jobs in Michigan

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions. Evaluate, benchmark, and optimize AI model performance, focusing on quality, cost, and latency.

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and ...

Stefanini

MLOps Engineer

Dearborn, MI · On-site

Develop and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG), prompt orchestration, agentic workflows, and tool integrations. Create scalable APIs and AI services ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Develop and implement LLM-powered applications, including Retrieval-Augmented Generation (RAG), prompt orchestration, agentic workflows, and tool integrations. Create scalable APIs and AI services ...

Orbotech

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

KLA Corporation

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

Deloitte

Oracle Gen AI Manager

Detroit, MI

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

General Motors

AI Agent Engineer

Warren, MI · On-site

Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities. * Integrate agents with enterprise systems, APIs, and data sources ...

KLA Corporation

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

Kla

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement retrieval-augmented generation (RAG) architectures using internal and external data sources * Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities. * Integrate agents with enterprise systems, APIs, and data sources ...

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Freelance Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a freelance retrieval augmented generation specialist?

To thrive as a Freelance Retrieval Augmented Generation (RAG) Specialist, you need expertise in natural language processing, information retrieval, and machine learning, typically supported by a degree in computer science or related fields. Proficiency with frameworks like Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone), and cloud platforms is often required. Strong problem-solving, effective communication, and adaptability set standout professionals apart in this role. These skills ensure the development and fine-tuning of high-performance RAG systems that deliver accurate, contextually relevant results for clients.

What is a freelance retrieval augmented generation specialist?

A Freelance Retrieval Augmented Generation (RAG) specialist is an independent professional who designs, develops, and implements AI systems that combine retrieval-based methods with generative models. RAG specialists help organizations enhance their applications by integrating large language models (LLMs) with external data sources, allowing the AI to access and utilize up-to-date information beyond its training data. Their work involves tasks such as building pipelines for document indexing and retrieval, fine-tuning models, and optimizing the integration for accuracy and efficiency. Freelance RAG specialists typically work on a contract basis, offering flexibility and expertise for businesses that need advanced AI solutions.

How does a freelance retrieval augmented generation specialist typically collaborate with client teams during a project?

Freelance Retrieval Augmented Generation (RAG) specialists often work closely with client data scientists, engineers, and project managers to understand business requirements and integrate RAG systems into existing workflows. Communication is usually handled through regular virtual meetings, shared documentation, and sometimes real-time collaboration tools. Freelancers are expected to deliver modular, well-documented solutions and provide guidance on optimizing retrieval pipelines or fine-tuning models. This collaborative dynamic ensures that RAG implementations are aligned with client goals and technical standards, while also allowing freelancers to contribute innovative solutions based on their expertise.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Michigan?

The most popular types of Retrieval Augmented Generation jobs in Michigan are:

What are popular job titles related to Freelance Retrieval Augmented Generation jobs in Michigan?

For Freelance Retrieval Augmented Generation jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Freelance Retrieval Augmented Generation jobs in Michigan look for?

The top searched job categories for Freelance Retrieval Augmented Generation jobs in Michigan are:

What cities in Michigan are hiring for Freelance Retrieval Augmented Generation jobs?

Cities in Michigan with the most Freelance Retrieval Augmented Generation job openings:

Freelance Retrieval Augmented Generation jobs near you

Midlevel AI Developer

Judge Group, Inc.

Ann Arbor, MI • On-site

$50 - $55/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Location: Ann Arbor, MI Salary: $50.00 USD Hourly - $55.00 USD Hourly Description: Our client is currently seeking a Mid-Level AI Engineer / AI Developer
Location: Ann Arbor, MI (100% Onsite for the first 6 months; Hybrid: 4 days onsite, 1 day remote of your choice thereafter)
Duration: 18 months
About the job:
As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that drive innovation and efficiency. You will work closely with cross-functional teams-including software engineers, product managers, architects, and data teams-to build scalable AI solutions utilizing modern machine learning, generative AI, agent frameworks, and enterprise-grade software engineering practices.
In this role, you will combine strong software development principles with hands-on experience building, integrating, and operating AI solutions in production environments. You will take ownership of your projects from the initial design phase through to deployment and production support. Whether you are developing AI copilots, knowledge search platforms, document intelligence solutions, or agentic automation workflows, your work will directly improve developer and customer productivity while adhering to strict enterprise governance, security, and privacy requirements.
Responsibilities:
Design, develop, test, and deploy AI-enabled applications, APIs, microservices, and backend services to support complex AI workloads.
Build and integrate Generative AI solutions using Large Language Models (LLMs).
Develop AI agents, workflows, prompts, tools, and orchestration frameworks.
Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions.
Evaluate, benchmark, and optimize AI model performance, focusing on quality, cost, and latency.
Develop automated testing, monitoring, and observability for AI applications, and participate in production troubleshooting and incident resolution.
Collaborate with product owners and business stakeholders to translate business requirements into robust technical solutions.
Implement responsible AI practices, security, privacy, and governance controls across all AI solutions while contributing to architectural decisions and coding standards.
Minimum qualifications:
Bachelor's degree in Computer Science, Software Engineering, Data Science, a related field, or equivalent practical experience.
3 years of experience in software development.
2 years of experience building Artificial Intelligence, Machine Learning, or Generative AI applications.
Experience programming in one or more of the following languages: Python, Java, C#, or TypeScript/JavaScript.
Experience developing REST APIs and distributed services.
Experience working with cloud computing platforms (e.g., Azure, AWS, or Google Cloud Platform) and software engineering fundamentals (e.g., design patterns, testing, CI/CD, security, and observability).
Preferred qualifications:
Experience with Large Language Model (LLM) platforms (e.g., OpenAI, Anthropic Claude, Azure OpenAI, Gemini).
Experience building AI agents, MCP-based integrations, tool-calling frameworks, and multi-agent workflows.
Experience with Retrieval-Augmented Generation (RAG) architectures, embeddings, and vector databases.
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes, Cloud Run).
Familiarity with prompt engineering, evaluation frameworks, and working in Agile development environments.
Ability to independently deliver AI features while working under technical guidance from senior engineering leadership.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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