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Ai Rag Jobs in Kentucky (NOW HIRING)

Dutech Systems

$150 - $200/hr

We are seeking an experienced Senior Generative AI / Agentic AI Engineer to design, develop, and implement AI-powered solutions using Generative AI, Agentic AI, RAG, Custom GPTs, and workflow ...

WinTrio LLC

$150 - $200/hr

Build and support retrieval-augmented generation (RAG) applications, generative AI solutions, and chatbot services. * Develop AI solutions using Azure OpenAI and comparable other AI services.

Hitachi Automotive Systems Americas, Inc.

$150 - $200/hr

The role requires industry expertise in real-world scenarios of deploying Infrastructure Solutions for Data Lakehouse, GenAI, Agentic AI, RAG, Inferencing, Data Preparation, Model Customization, Data ...

Tiger Analytics

$150 - $200/hr

Generative AI, Agentic AI, RAG, AI Agents * AI orchestration frameworks (such as LangChain or LangGraph) * Vector databases and knowledge retrieval * AI governance, security, and Responsible AI

NVIDIA Corporation

$200 - $250/hr

This work includes multi‑agent orchestration, guardrails, agent runtime security, RAG, tool use ... Lead strategic agentic AI partner engagements from discovery and architecture through PoC ...

Advanced Micro Devices

$200 - $250/hr

Strong understanding of AI inference, Agentic AI, RAG pipelines, Speculative Decode, vector databases, model serving, orchestration frameworks, and CPU-based performance optimization. * Software ...

Acosta Sales & Marketing

$150 - $200/hr

Define and own Acosta Group's enterprise AI reference architecture across traditional AI, GenAI, agentic AI, copilots, RAG, orchestration, workflow automation, and AI-enabled enterprise applications.

Siemens AG

$125 - $150/hr

Develop, evaluate, deploy, and document AI solutions - implement custom AI/RAG data retrieval systems: * Design, code, test and implement AI agents, applications, solutions and custom data to improve ...

Dell GmbH

$250/hr

Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and ...

Capital One Group

$200 - $250/hr

A production Gen AI system -- natural-language-to-SQL or RAG over the data catalog -- with real LLM tool-use, grounding, and cost guardrails, adopted by internal teams.**The stack**Kafka streaming ...

YDU JC Air Cond & Ref Inc.- Dubai

$100 - $125/hr

Define patterns for RAG, conversational AI, document intelligence, multimodal workflows and AI agents. * Establish approaches for model selection, evaluation, safety, grounding, cost and operational ...

Hobbsnews

$200 - $250/hr

A production Gen AI system -- natural-language-to-SQL or RAG over the data catalog -- with real LLM tool-use, grounding, and cost guardrails, adopted by internal teams. The stack Kafka streaming ...

Surescripts

$200 - $250/hr

Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG, agentic AI, and predictive models, and guide their deployment into production. * Serve as a ...

Zof AI

$150 - $200/hr

This role owns the model-facing layer of our products: retrieval and RAG pipelines, agent planning and orchestration, multi-agent frameworks, and the context engineering that makes AI systems ...

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Ai Rag information

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 Kentucky?

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

What job categories do people searching Ai Rag jobs in Kentucky look for?

The top searched job categories for Ai Rag jobs in Kentucky are:

What cities in Kentucky are hiring for Ai Rag jobs?

Cities in Kentucky with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Kentucky as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Artificial Intelligence / Machine Learning Engineer NEW

On-site

Dutech Systems
IT Services • 51 - 200 employees
Learn more about Dutech Systemsexternal

$150 - $200/hr

Other

Posted 7 days ago

Job description

We are seeking an experienced Senior Generative AI / Agentic AI Engineer to design, develop, and implement AI-powered solutions using Generative AI, Agentic AI, RAG, Custom GPTs, and workflow automation. The ideal candidate will have strong Python development skills and experience translating business requirements into scalable AI solutions. This role will also involve customer engagement, technical training, solution design, and collaboration with cross-functional teams.

Key Responsibilities
  • Design and develop Agentic AI solutions and intelligent workflow automation.
  • Build and deploy Generative AI applications, including Custom GPTs and AI assistants.
  • Develop Retrieval-Augmented Generation (RAG) solutions for enterprise use cases.
  • Develop scalable and maintainable applications using Python.
  • Design AI solutions based on business and customer requirements.
  • Integrate AI models, APIs, data sources, and enterprise systems into production workflows.
  • Evaluate AI solutions for accuracy, performance, reliability, and scalability.
  • Work directly with customers and stakeholders to understand business challenges and identify AI opportunities.
  • Conduct customer demonstrations, training sessions, and technical workshops.
  • Create technical documentation, architecture diagrams, solution designs, and implementation plans.
  • Collaborate with engineering, product, data, and business teams to deliver AI solutions.
  • Stay current with emerging Generative AI, Agentic AI, RAG, LLM, and automation technologies.
Required Qualifications
  • 8+ years of professional technology or software development experience.
  • Strong hands-on experience with Agentic AI and workflow automation.
  • Experience developing Generative AI solutions and Custom GPTs.
  • Strong Python development experience.
  • Hands-on experience designing and implementing RAG architectures.
  • Strong solution architecture and AI solution design skills.
  • Experience engaging with customers and delivering technical training or demonstrations.
  • Strong understanding of LLMs, prompt engineering, AI agents, APIs, and enterprise AI applications.
  • Excellent communication, analytical, and problem-solving skills.
Preferred Qualifications
  • Experience implementing enterprise-scale AI solutions.
  • Experience with AI agent frameworks and workflow automation platforms.
  • Experience with vector databases, embeddings, and knowledge retrieval systems.
  • Experience integrating LLMs with enterprise applications and data sources.
  • Experience creating training materials and conducting customer enablement sessions.
  • Experience designing end-to-end AI architectures and proof-of-concept solutions.
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