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Ai Rag Jobs in Tennessee (NOW HIRING)

... RAG) is highly desirable. * Familiarity with vector search, embeddings, or vector databases is a ... Experience with AWS AI/ML and application services is preferred; exposure to Amazon Bedrock is ...

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LLM APIs, RAG, agent frameworks (LangGraph, MCP, or comparable) β€’ Cloud AI platform experience (Azure AI Foundry preferred; AWS Bedrock or Google Vertex acceptable). β€’ Data engineering ...

LLM APIs, RAG, agent frameworks (LangGraph, MCP, or comparable) β€’ Cloud AI platform experience (Azure AI Foundry preferred; AWS Bedrock or Google Vertex acceptable). β€’ Data engineering ...

LLM APIs, RAG, agent frameworks (LangGraph, MCP, or comparable) * Cloud AI platform experience (Azure AI Foundry preferred; AWS Bedrock or Google Vertex acceptable) * Data engineering fundamentals ...

Hands-on experience with workflow builders, prompt libraries, RAG pipelines, and AI evaluation methods. * Familiarity with AI governance frameworks and emerging AI regulation relevant to legal ...

Hands-on experience with workflow builders, prompt libraries, RAG pipelines, and AI evaluation methods. * Familiarity with AI governance frameworks and emerging AI regulation relevant to legal ...

Design and implement high-performance RAG (Retrieval-Augmented Generation) architectures integrated with ADK using Vertex AI Vector Search , BigQuery Vector Search , and Cloud Storage (GCS) . * Build ...

AI Solution Development * Build end-to-end AI solutions, including APIs, microservices, data ... Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document ...

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AI Solution Development * Build end-to-end AI solutions, including APIs, microservices, data ... Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document ...

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AI Solution Development * Build end-to-end AI solutions, including APIs, microservices, data ... Familiarity with RAG, embeddings, vector databases, semantic search, OCR, and intelligent document ...

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Agentic AI Engineer

Nashville, TN Β· On-site

$68K - $161K/yr

Ground AI models in live business context using vector engines within BigQuery or AlloyDB to ... Knowledge of vector search, retrieval‑augmented generation (RAG), and contextual grounding using ...

New

Agentic AI Engineer

Nashville, TN Β· On-site

$68K - $161K/yr

Ground AI models in live business context using vector engines within BigQuery or AlloyDB to ... Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using ...

Showing results 41-60

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 cities in Tennessee are hiring for Ai Rag jobs?

Cities in Tennessee with the most Ai Rag job openings:

Infographic showing various Ai Rag job openings in Tennessee as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution.

Generative AI Developer

Knoxville, TN β€’ On-site

System One
Business Consulting ServicesΒ β€’Β 5 - 10K employees

$108K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

Job Title: Generative AI Developer
Location: Lafayette, LA, Knoxville, TN, Columbia, SC or Birmingham, AL
Type: Direct Hire
Compensation: $108,600.00
Work Model: Onsite – onsite
Hours: 40.0
Security Clearance: (not specified)

Overview
Leave placeholder text here for recruiter to input

Responsibilities

  • Develop and enhance Generative AI applications and services using Python.
  • Build application functionality that incorporates Large Language Models (LLMs) and Generative AI capabilities.
  • Integrate AI capabilities with existing enterprise applications, APIs, databases, and cloud services.
  • Develop and support AI solutions within an AWS based environment.
  • Work with prompt engineering, LLM APIs, and related Generative AI development techniques to address business use cases.
  • Develop APIs and back end services that enable applications to interact with AI models and supporting data sources.
  • Participate throughout the SDLC, including requirements analysis, development, unit testing, troubleshooting, defect resolution, and implementation support.
  • Write clean, maintainable, testable Python code suitable for enterprise applications.
  • Perform unit testing and troubleshoot issues identified during development and testing cycles.
  • Collaborate with developers, QA teams, business analysts, and other technical stakeholders to deliver AI enabled application capabilities.
  • Follow established enterprise development, security, testing, and deployment standards.
  • Stay current with evolving Generative AI technologies and apply relevant capabilities to practical business problems.
Requirements
  • 5+ years of hands on Python development experience, including development of enterprise applications or services.
  • Hands on experience developing Generative AI applications or AI enabled software solutions.
  • Strong understanding of Large Language Models (LLMs) and how they are incorporated into applications.
  • Experience working with LLM APIs, prompt engineering, and Generative AI development patterns.
  • Experience developing and deploying applications in AWS cloud environments.
  • Strong experience developing REST APIs, back end services, and application integrations using Python.
  • Experience integrating applications with databases, APIs, and enterprise data sources.
  • Understanding of techniques used to provide enterprise data and context to LLM powered applications; experience with Retrieval Augmented Generation (RAG) is highly desirable.
  • Familiarity with vector search, embeddings, or vector databases is a plus.
  • Experience with AWS AI/ML and application services is preferred; exposure to Amazon Bedrock is particularly valuable.
  • Strong understanding of the Software Development Life Cycle (SDLC) and modern software development practices.
  • Experience with unit testing, debugging, troubleshooting, and resolving application defects.
  • Familiarity with Git, CI/CD pipelines, and automated software delivery practices.
  • Understanding of secure development practices, particularly when working with enterprise data and AI applications.
  • Strong analytical and problem solving skills with the ability to turn business use cases into working technical solutions.
  • Experience working in financial services, mortgage, bank environments.


System One, and its subsidiaries including JoulΓ© and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US