Data Scientist
Auburn Hills, MI · On-site
... Retrieval-Augmented Generation (RAG) patterns where applicable • Troubleshoot data quality, model behavior, and workflow issues Stakeholder & Delivery Engagement • Work closely with stakeholders ...
Data Scientist
Auburn Hills, MI · On-site
... Retrieval-Augmented Generation (RAG) patterns where applicable • Troubleshoot data quality, model behavior, and workflow issues Stakeholder & Delivery Engagement • Work closely with stakeholders ...
... Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks Agent ...
... Retrieval-Augmented Generation) systems to enhance agent knowledge and context Create generative models for code generation, content creation, and strategic planning within agent frameworks Agent ...
Emerging Tech Developer
Troy, MI · On-site
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
Emerging Tech Developer
Troy, MI · On-site
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
Generative AI Engineer (Knowledge Graph)
Dearborn, MI · Hybrid
$89K - $123K/yr
This role focuses on transforming unstructured data into interconnected Knowledge Graphs (KGs) that support Retrieval-Augmented Generation (RAG), recommendation engines, and advanced reasoning models.
Generative AI Engineer (Knowledge Graph)
Dearborn, MI · Hybrid
$89K - $123K/yr
This role focuses on transforming unstructured data into interconnected Knowledge Graphs (KGs) that support Retrieval-Augmented Generation (RAG), recommendation engines, and advanced reasoning models.
C++ / Python Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments. * Experience in manufacturing, defense, automotive, or industrial ...
Quick apply
C++ / Python Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments. * Experience in manufacturing, defense, automotive, or industrial ...
AI Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments * Experience in manufacturing, defense, automotive, or industrial ...
AI Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments * Experience in manufacturing, defense, automotive, or industrial ...
Generative AI Engineer (Knowledge Graph)
Dearborn, MI · On-site
$89K - $122K/yr
This role focuses on transforming unstructured data into interconnected Knowledge Graphs (KGs) that support Retrieval-Augmented Generation (RAG), recommendation engines, and advanced reasoning models.
Generative AI Engineer (Knowledge Graph)
Dearborn, MI · On-site
$89K - $122K/yr
This role focuses on transforming unstructured data into interconnected Knowledge Graphs (KGs) that support Retrieval-Augmented Generation (RAG), recommendation engines, and advanced reasoning models.
C++ / Python Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments. * Experience in manufacturing, defense, automotive, or industrial ...
C++ / Python Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments. * Experience in manufacturing, defense, automotive, or industrial ...
Position Description We are seeking a Generative AI Engineer to design, develop, and deploy AI-driven applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG ...
Position Description We are seeking a Generative AI Engineer to design, develop, and deploy AI-driven applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG ...
Senior Emerging Tech Developer
Troy, MI · On-site
$51 - $67.50/hr
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
Senior Emerging Tech Developer
Troy, MI · On-site
$51 - $67.50/hr
Experiment with and implement Retrieval Augmented Generation (RAG), embeddings, vector databases, and other AI-driven architectures * Create seamless full-stack experiences from database to user ...
AI Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments * Experience in manufacturing, defense, automotive, or industrial ...
Quick apply
AI Programmer
Warren, MI · On-site
Familiarity with Retrieval-Augmented Generation (RAG), Vector databases, Cloud platforms, Docker/containerized environments * Experience in manufacturing, defense, automotive, or industrial ...
(Remote) AI Bid & Proposal Manager
Wyoming, MI · On-site +1
Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...
(Remote) AI Bid & Proposal Manager
Wyoming, MI · On-site +1
Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...
(Remote) AI Bid & Proposal Manager
Wyoming, MI · On-site +1
Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...
(Remote) AI Bid & Proposal Manager
Wyoming, MI · On-site +1
Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...
(Remote) AI Bid & Proposal Manager
Wyoming, MI · On-site +1
Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...
(Remote) AI Bid & Proposal Manager
Wyoming, MI · On-site +1
Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
... Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies. • Engineer memory and ...
... Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies. • Engineer memory and ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
... Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies. • Engineer memory and ...
... Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual compression, and grounding strategies. • Engineer memory and ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.
Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG). * Integrate AI into client workflows using APIs, automation tools, and third-party systems.
Retrieval Augmented Generation information
What are the typical daily responsibilities of a Retrieval Augmented Generation engineer?
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 job?
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 are the key skills and qualifications needed to thrive in the Retrieval Augmented Generation position, and why are they important?
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:
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Job description
Must Have Technical/Functional Skills
• Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)
• Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting
• Proficiency in Python and SQL
• Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Experience working with large-scale enterprise datasets
Roles & Responsibilities
Data Science & Analytics
• Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets
• Conduct RCA to diagnose operational, business, and performance issues using data-driven techniques
• Design, build, and deploy machine learning models for predictive and prescriptive analytics
• Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes
• Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions
• Design and analyze experiments and A/B tests to measure business impact
• Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
• Implement Retrieval-Augmented Generation (RAG) patterns where applicable
• Troubleshoot data quality, model behavior, and workflow issues
Stakeholder & Delivery Engagement
• Work closely with stakeholders in customer-facing and consulting environments
• Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences
• Support adoption and value realization of analytics and AI solutions
Generic Managerial Skills, If any
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross-functional teams
• Structured thinking and outcome-oriented mindset
About Centraprise
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Edison, NJ, US
Year founded
2010