ZipRecruiter

Log In

1

Ai Rag Jobs in Tennessee (NOW HIRING)

Pilot Company

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Develop advanced RAG systems with performance optimization * Create agent evaluation frameworks measuring performance, reliability, and safety * Drive prompt engineering strategies and multi-modal AI ...

Pilot Flying J

Sr Engineer, AI

Knoxville, TN

$86K - $118K/yr

Develop advanced RAG systems with performance optimization * Create agent evaluation frameworks measuring performance, reliability, and safety * Drive prompt engineering strategies and multi-modal AI ...

New

Federal Express Corporation

AI Engineer II

Memphis, TN · On-site

$87K - $119K/yr

The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial ... build RAG (Retrieval-Augmented Generation) systems. * Handling data wrangling, SQL, data ...

Priority OnDemand

AI Programs Director

Knoxville, TN · On-site

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 ...

Unum

AVP, AI Enterprise Architecture

Chattanooga, TN · On-site

... RAG architectures, and agentic AI patterns • Strong understanding of AI risks, governance frameworks, and regulatory considerations • Familiarity with Agile/Lean delivery and modern engineering ...

United Airlines

AI Architect

Nashville, TN · Hybrid

$73K - $174K/yr

Tool use, Multi-step reasoning, Agent orchestration, RAG (Retrieval-Augmented Generation), Multimodal AI, State management. * Develop reliable AI-driven enterprise workflows while managing ...

Philips

AI Solutions Engineer

Nashville, TN · On-site

$107K - $170K/yr

Design, develop, and deploy enterprise AI solutions from concept through production, leveraging large language models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG)

Philips

AI Solutions Engineer

Nashville, TN

$107K - $170K/yr

Design, develop, and deploy enterprise AI solutions from concept through production, leveraging large language models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG)

next page

Showing results 1-20

All JobsAi Rag JobsAi Rag Jobs in Tennessee

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.
What are popular job titles related to Ai Rag jobs in Tennessee? For Ai Rag jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Tennessee look for? The top searched job categories for Ai Rag jobs in Tennessee are:
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.
Sr Engineer, AI

Sr Engineer, AI

Pilot Company

Knoxville, TN • On-site

$86K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Pilot Company rating

6.0

Company rating: 6.0 out of 10

Based on 519 frontline employees who took The Breakroom Quiz

371st of 727 rated retailers

Job description

Company Description
Pilot Company is an industry-leading network of travel centers with more than 30,000 team members and over 750 retail and fueling locations in 44 states and six Canadian provinces. Our energy and logistics division serves as a top supplier of fuel, employing one of the largest tanker fleets and providing critical services to oil operations in our nation's busiest basins. Pilot Company supports a growing portfolio of brands with expertise in supply chain and retail operations, logistics and transportation, technology and digital innovation, construction, maintenance, human resources, finance, sales and marketing.
Founded in 1958 by Jim A. Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and commitment to giving back remains true to us today. Whether we are serving guests, a fellow team member, or a trucking company, we are dedicated to fueling people and keeping North America moving.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or any other characteristic protected under applicable federal, state, or local law.
Military encouraged to apply.
Job Description
Pilot's Senior AI Engineer will drive technical decisions, own complex projects, demonstrate deep expertise in AI/ML systems and mentoring junior engineers while delivering high-impact solutions.
Key Responsibilities & Scope
  • Technical Leadership: Leads complex projects and influences technical direction
  • Mentorship: Guides junior engineers and shares knowledge across teams
  • System Design: Architects scalable AI solutions with performance optimization
  • Cross-functional Impact: Collaborates with product, research, and platform teams

Full Stack Development
  • Architect end-to-end AI applications using modern web frameworks and cloud-native architectures
  • Lead implementation of complex front-end interfaces with advanced React.js patterns
  • Design robust backend services with event-driven architectures using AWS services
  • Implement gRPC and GraphQL microservices and optimize system performance
  • Ensure application security, performance optimization, and scalability across the full stack

Machine Learning Engineering & Operations
  • Design and optimize ML model deployment strategies for production scale
  • Establish MLOps best practices including automated testing and evaluation
  • Implement comprehensive monitoring using CloudWatch, Prometheus, and Grafana
  • Optimize model performance and cost efficiency
  • Lead infrastructure design with Terraform IaC and multi-cloud strategies

Applied Generative AI Research & Agent Development
  • Research and implement state-of-the-art generative AI models and agent architectures
  • Build sophisticated multi-agent orchestration systems
  • Develop advanced RAG systems with performance optimization
  • Create agent evaluation frameworks measuring performance, reliability, and safety
  • Drive prompt engineering strategies and multi-modal AI applications
  • Lead integration of LLM APIs and open-source models with optimization techniques

Qualifications
  • 4-6 years of full-stack development with React, Next.js, TypeScript, Node.js
  • 3+ years of ML engineering and production model deployment
  • Extensive AWS experience with advanced services and architectures
  • Deep understanding of AI/ML fundamentals and generative AI systems
  • Experience with system design and performance optimization

Additional Information
  • Nation-wide Medical Plan/Dental/Vision
  • 401(k) and Flexible Spending Accounts
  • Employee Fuel Discount
  • Adoption Assistance
  • Tuition Reimbursement
  • Onsite Gym and Cafeteria
  • Weekly Pay
  • All your information will be kept confidential according to EEO guidelines
  • This position requires candidates to be legally authorized to work in the United States without employer sponsorship

What Pilot Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Pilot Company logo

About Pilot Company

Sourced by ZipRecruiter

Pilot Flying J is an American-based company situated in Knoxville, TN, USA. Founded in 1958, it falls under the travel-center industry, providing comprehensive services to professional drivers, recreational travelers, and road users. Pilot Flying J offers amenities such as refueling facilities, convenience stores, fast-food restaurants, and trucking supplies services, positioning itself as a crucial part of America's interstate highway system.

Industry

Gasoline stations, petroleum and petroleum products wholesalers and retail

Company size

10,000+ Employees

Headquarters location

Knoxville, TN, US

View All Pilot Company Jobs

Apply