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Ai Rag Jobs in Tennessee (NOW HIRING)

Staffingine LLC

AI/ML Tech lead

Nashville, TN · On-site

Job Title: AI/ML Tech lead Job Location: Nashville, TN Job Type: Contract * Design and implement ... Apply LLM and RAG architectures to solve realworld problems * Integrate MS OpenAI services and ...

DXC Technology

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

... RAG) pipelines • LLM model selection, configuration, and prompt tooling • Model fine‑tuning and customization pipelines • Architect and govern AI agents capable of multi‑step reasoning ...

DXC Technology

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Retrieval-Augmented Generation (RAG) pipelines * LLM model selection, configuration, and prompt tooling * Model fine-tuning and customization pipelines * Architect and govern AI agents capable of ...

VIRTUAL CLARITY LIMITED

AI Lead Engineer

Nashville, TN

$99K - $130K/yr

RetrievalAugmented Generation (RAG) pipelines * LLM model selection, configuration, and prompt tooling * Model finetuning and customization pipelines * Architect and govern AI agents capable of ...

DXC Technology

AI Lead Engineer

Nashville, TN

$99K - $130K/yr

RetrievalAugmented Generation (RAG) pipelines * LLM model selection, configuration, and prompt tooling * Model finetuning and customization pipelines * Architect and govern AI agents capable of ...

Deloitte

Agentic AI, AI & Data Manager

Nashville, TN · On-site

Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG ... Vertex AI (e.g., Model Garden, Agent Builder, custom training); Gemini API and Google AI Studio;

Smith & Wesson Brands, Inc.

AI Developer

Maryville, TN · On-site

Conversational AI design (dialog patterns, user experience, prompts) Agentic AI concepts (planning, tool use, autonomy boundaries, guardrails) RAG fundamentals and implementation patterns Experience ...

New

Smith and Wesson

AI Developer

Maryville, TN · On-site

Conversational AI design (dialog patterns, user experience, prompts) Agentic AI concepts (planning, tool use, autonomy boundaries, guardrails) RAG fundamentals and implementation patterns Experience ...

New

AllianceBernstein

Senior AI Solutions Engineer

Nashville, TN · On-site

$53.25 - $68.75/hr

... RAG) patterns using enterprise data sources. • Design prompt strategies, orchestration logic, and guardrails for reliable AI behavior. • Develop agent-style workflows that combine reasoning, tool ...

CGI Inc.

AI/ML Engineer

Knoxville, TN · On-site

AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Tennessee ... RAG patterns; vector databases. o Web & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java ...

Nextech

Job 5144: AI Platform Engineer II

Memphis, TN · On-site +1

Build and enhance LLM gateways, retrieval-augmented generation (RAG) solutions, or other AI-driven systems * Develop APIs, automation, and data integration services to support scalable AI platforms

New

CTI

AI Developer

Memphis, TN · On-site +1

Orchestrated Retrieval-Augmented Generation (RAG) systems, including document chunking, embedding ... AI model performance and reliability. Proven ability to design end-to-end hybrid search and ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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.
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What cities in Tennessee are hiring for Ai Rag jobs? Cities in Tennessee with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Tennessee as of July 2026, with employment types broken down into 77% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI/ML Tech lead

AI/ML Tech lead

Staffingine LLC

Nashville, TN • On-site

Contractor

Re-posted 27 days ago

Job description

Job Title: AI/ML Tech lead
Job Location: Nashville, TN
Job Type: Contract

Job Description:

  • Design and implement scalable AIML models and pipelines
  • Apply LLM and RAG architectures to solve realworld problems
  • Integrate MS OpenAI services and optimize GPTbased solutions
  • Collaborate with crossfunctional teams to deliver highimpact features
  • Stay current with AI advancements and contribute to innovation

Technical Skills:

  • Key Technologies
  • AIML
  • Expert in Python
  • LLM Concepts
  • RAG Architecture
  • MS OpenAI
  • GPT40 41
  • O3 Mini

Mandatory Skills : Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt Engineering