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Retrieval Augmented Generation Jobs in Michigan (NOW HIRING)

AI Software Developer [AQ-10880]

Ann Arbor, MI ยท 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 ...

AI Software Developer

Ann Arbor, MI ยท 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 ...

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 ...

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 ...

Senior AI Context Engineer

Grand Rapids, MI ยท Hybrid

$134K - $179K/yr

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 ...

Senior AI Context Engineer

Grand Rapids, MI ยท Hybrid

$134K - $179K/yr

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 ...

Full Stack Developer

Dearborn, MI ยท On-site

$61 - $66/hr

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 ...

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 ยท 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 ...

AI Software Test Engineer (SDET)

Ann Arbor, MI ยท On-site

$42.06 - $46.73/hr

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 ...

Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and ...

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.

Senior GenAI / ML Engineer (W2 Position)

Megan soft Inc

Dearborn Heights, MI โ€ข On-site

$96K - $132K/yr

Other

Re-posted 24 days ago


Job description

Hi We have a job opportunity of a Role Senior GenAI / ML Engineer with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: Senior GenAI / ML Engineer (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 10+ Years

JD:

Skills Required:

GCP, Big Data, Artificial Intelligence & Expert Systems, API

  • GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data – Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing – Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems – Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API – Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:

Google Cloud Platform

  • Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:

  • Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 10+ years in IT; 8+ years in development

Experience Preferred:

  • Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335