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Ai Rag Jobs in Detroit, MI (NOW HIRING)

Sunset Grown

AI Engineer

Livonia, MI · On-site

Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data. * Develop and refine prompts, system instructions, and evaluation ...

Aquent Talent

AI Software Developer [211339]

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

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

Deloitte

Google AI Architect

Detroit, MI

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

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Ai Rag information

See Detroit, MI salary details

$31.7K

$57.7K

$82.7K

How much do ai rag jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai rag in Detroit, MI is $57,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $64,300.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Ai Rag jobs in Detroit, MI?

For Ai Rag jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Detroit, MI look for?

The top searched job categories for Ai Rag jobs in Detroit, MI are:

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Ai Rag jobs near you

AI Engineer

Livonia, MI • On-site

Sunset Grown
See more jobs at Sunset Grownexternal

Full-time

Re-posted 22 days ago

Job description

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET® brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry. We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences.
Our corporate office in Livonia Michigan is currently seeking an AI Engineer to join our team. The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and integrations that extend Mastronardi's AI Enablement platform across the business. The role focuses on turning AI capabilities - large language models, retrieval, and agentic workflows - into production-ready tools that are reliable, governed, and embedded directly into business systems and processes. This is a hands-on individual contributor role: the AI Engineer writes code, builds integrations, and ships working solutions directly, with accountability for the technical architecture, performance, and security of every solution deployed.
Values:
To perform the job successfully, the incumbent's behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven and strive for Excellence.
Primary Responsibilities:
  • Design, build, and deploy AI-powered applications and integrations that connect large language models (e.g., Claude, Azure OpenAI) to business systems and data sources.
  • Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data.
  • Develop and refine prompts, system instructions, and evaluation frameworks to ensure AI outputs are accurate, consistent, and auditable.
  • Build the initial APIs, connectors, and integration logic between AI platforms and enterprise systems (ERP, WMS, data platforms, Microsoft 365) as part of solution design, handing off production deployment and ongoing operation to Cloud Operations & Infrastructure.
  • Define the guardrails, audit points, and monitoring requirements AI solutions need so outputs can be reviewed, debugged, and improved after deployment, partnering with Cloud Operations & Infrastructure on the monitoring infrastructure that implements them.
  • Test AI solutions rigorously before release, including functional testing, edge-case validation, and structured evaluation against real business scenarios.
  • Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well-structured, quality data and comply with security and privacy requirements.
  • Stay current on the AI tooling landscape (models, frameworks, agent platforms) and recommend where new capabilities apply to real business problems.
  • Build reusable components, templates, and internal libraries that speed up delivery of future AI solutions.
  • Create and maintain clear technical documentation for all solutions, architectures, and operating procedures.
  • Ensure all solutions align with IT governance, security, and compliance standards.
  • Design and maintain evaluation suites and benchmarks to track model and prompt performance over time, catching regressions before they reach production.
  • Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs. direct API integration), weighing cost, performance, and reliability tradeoffs.
  • Support incident response for AI-related production issues and participate in post-incident reviews to identify root cause and prevent recurrence.

Education/Background Requirements:
  • At least 5 years experience in AI Engineering
  • Diploma/Degree in related discipline
  • Software development experience in Python (required) and at least one other language (e.g., JavaScript/TypeScript, C#, or similar).
  • Hands-on experience building applications with large language models - prompt engineering, RAG, tool/function calling, and agentic workflows.
  • Experience with LLM platforms and APIs such as Claude (Anthropic), Azure OpenAI, or equivalent.
  • Experience building and consuming REST APIs and integrating disparate systems.

Specific Knowledge, Skills and Abilities Required
  • Working knowledge of vector databases, embeddings, and retrieval techniques.
  • SQL: ability to query, join, and filter data across relational databases.
  • Experience with cloud platforms (Microsoft Azure preferred) including AI/ML services such as Azure AI Foundry.
  • Version control and CI/CD practices (Git, automated testing, deployment pipelines).
  • Understanding of AI safety, governance, and evaluation practices - ensuring outputs are auditable and appropriate for business use.
  • Familiarity with ERP or enterprise data structures (Microsoft Dynamics NAV/365, SAP, or equivalent) is an asset.
  • Understanding of responsible AI practices, including bias evaluation and hallucination mitigation, to keep model outputs safe and appropriate for business use.
  • Experience with containerization and deployment tooling (e.g., Docker, Azure App Service or Functions) is an asset.

Working Conditions:
  • Typical office environment.

Please note: Mastronardi Produce has accommodation processes and policies in place and provides accommodation for employees with disabilities. If you require a specific accommodation because of a disability or documented medical need, please contact the Human Resource office so that arrangements can be made for the appropriate accommodation to be put into place.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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