ZipRecruiter

Log In

1

Generative Ai Developer Jobs in Tennessee (NOW HIRING)

Brooksource

Sr. AI Engineer

Franklin, TN · On-site

$120 - $130/hr

Senior Generative AI Engineer Location: Remote Duration: 6-Month Contract Overview Our client is seeking a Senior Generative AI Engineer to lead the evaluation, design, and implementation of ...

Elevance Health

Distinguished AI Engineer

Nashville, TN · On-site +1

... generative AI, and AI agents. This role is for a senior technical expert who can directly develop ... and DevOps practices. Preferred Skills, Capabilities & Experiences: * Subject matter expert in ...

Pilot Flying J

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Research and implement state-of-the-art generative AI models and agent architectures * Build ... Drive prompt engineering strategies and multi-modal AI applications * Lead integration of LLM APIs ...

Pilot Company

Sr Engineer, AI

Knoxville, TN · On-site

$86K - $118K/yr

Research and implement state-of-the-art generative AI models and agent architectures * Build ... Drive prompt engineering strategies and multi-modal AI applications * Lead integration of LLM APIs ...

next page

Showing results 1-20

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Tennessee

Generative Ai Developer information

See Tennessee salary details

$17

$41

$91

How much do generative ai developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for generative ai developer in Tennessee is $41.10, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $49.76 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Tennessee? For Generative Ai Developer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Tennessee look for? The top searched job categories for Generative Ai Developer jobs in Tennessee are:
What cities in Tennessee are hiring for Generative Ai Developer jobs? Cities in Tennessee with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Tennessee as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $85,497 per year, or $41.1 per hour.

Generative AI Engineer (Python & SQL)

Phaxis - Technology

Nashville, TN • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision

Re-posted 20 days ago

Job description

We are seeking a talented Generative AI Engineer with strong Python and SQL skills to join our team. In this role, you will design, develop, and deploy AI-powered solutions, including large language model (LLM) applications. You will work with both structured and unstructured data, build and maintain data pipelines, optimize SQL queries, and ensure data quality for model training and evaluation.

The ideal candidate will collaborate closely with cross-functional teams to implement AI-driven features, monitor and improve model performance, and deliver scalable, production-ready systems.


Requirements:

  • Proficiency in Python and SQL
  • Experience with generative AI or LLMs
  • Strong understanding of data pipelines and database optimization
  • Ability to work in a collaborative, fast-paced environment