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Retrieval Augmented Generation Jobs in Michigan (NOW HIRING)

Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals.Identify and troubleshoot dealer-reported ...

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access. * Build robust APIs, microservices, and backend services to support ...

Experience working with generative AI, large language models, retrieval-augmented generation, prompt engineering, embeddings, or vector databases. * Experience designing and deploying scalable ...

Retrieval-Augmented Generation (RAG) systems * Internal AI services and APIs * Integrate commercial and open-source LLMs (e.g., OpenAI, Anthropic, Databricks, open-source models) into enterprise ...

Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG techniques implementing retrieval-augmented generation patterns using vector stores (e.g., Pinecone ...

Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply chain background Location & Authorization: This is a hybrid role requiring proximity to one of our U.S ...

Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply chain background Location & Authorization: This is a hybrid role requiring proximity to one of our U.S ...

Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals. * Identify and troubleshoot dealer-reported ...

Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals. * Identify and troubleshoot dealer-reported ...

Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals. Identify and troubleshoot dealer-reported ...

Implement Retrieval-Augmented Generation (RAG) patterns to allow the chatbot to provide precise answers based on technical documentation and owner manuals. * Identify and troubleshoot dealer-reported ...

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Architect and deliver LLM-enabled Generative AI solutions (e.g., Retrieval-Augmented Generation, tool use, and agentic workflows) that enable natural-language access to SME knowledge assets such as ...

Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response ...

Showing results 41-60

Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

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 Retrieval Augmented Generation jobs in Michigan? For Retrieval Augmented Generation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Michigan look for? The top searched job categories for Retrieval Augmented Generation jobs in Michigan are:
What cities in Michigan are hiring for Retrieval Augmented Generation jobs? Cities in Michigan with the most Retrieval Augmented Generation job openings:
Infographic showing various Retrieval Augmented Generation job openings in Michigan as of August 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution.

AI Software Developer [AQ-10880]

Aquent Talent

Ann Arbor, MI • On-site

$47.82 - $53.13/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Partner with Aquent to join a leading organization at the forefront of financial services innovation. This company is dedicated to empowering individuals and institutions through advanced technology, delivering cutting-edge solutions that shape the future of finance. You’ll be part of a mission-driven team that values innovation, collaboration, and making a tangible impact on millions of users.

Are you a passionate AI professional ready to transform the financial landscape with intelligent solutions? This is your chance to build scalable AI solutions using modern machine learning, generative AI, and agent frameworks, making a significant impact on our products and the experiences of our users. As a key contributor, your expertise will directly drive the design, development, and deployment of state-of-the-art AI-powered applications and services that will shape the future of finance.

Key Responsibilities

  • Design, develop, test, and deploy AI-enabled applications and services, ensuring high quality and reliability.
  • Build and integrate Generative AI solutions utilizing large language models (LLMs) to create innovative features.
  • Develop sophisticated AI agents, workflows, prompts, tools, and orchestration frameworks.
  • Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access.
  • Build robust APIs, microservices, and backend services to support complex AI workloads.
  • Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency for peak efficiency.
  • Develop automated testing, monitoring, and observability solutions for AI applications, ensuring operational excellence.
  • Collaborate closely with product owners and business stakeholders, translating requirements into impactful technical solutions.
  • Implement responsible AI, security, privacy, and governance controls within AI solutions, upholding ethical standards.
  • Contribute to architectural decisions, coding standards, and engineering best practices, shaping our technical direction.
  • Provide essential support for AI applications in production, participating in troubleshooting and incident resolution.

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 3–6 years of software development experience.
  • 2+ years of experience building AI/ML or Generative AI applications.
  • Strong programming skills in one or more of: Python, Java, C#, TypeScript/JavaScript.
  • Experience developing REST APIs and distributed services.
  • Experience working with cloud platforms such as Azure, AWS, or GCP.
  • Strong understanding of software engineering fundamentals, including design patterns, testing, CI/CD, security, and observability.

Nice-to-Have Qualifications

  • Experience with LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.
  • Experience building AI agents, integrations, tool calling frameworks, or multi-agent workflows.
  • Experience with RAG architectures and vector databases.
  • Familiarity with prompt engineering and evaluation frameworks.
  • Experience with containerization and orchestration technologies like Docker, Kubernetes, or Cloud Run.
  • Experience working in Agile development environments.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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