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Generative Ai Developer Jobs in Tennessee (NOW HIRING)

Identify high-value AI use cases and guide teams on prompt engineering and model optimization ... Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ...

Identify high-value AI use cases and guide teams on prompt engineering and model optimization ... Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ...

Identify high-value AI use cases and guide teams on prompt engineering and model optimization ... Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ...

As a Sr Staff Agentic AI Engineer, you will be at the forefront of this mission, providing crucial ... You will be instrumental in developing systems that leverage Generative AI, particularly with GCP ...

Chemours is seeking a Senior Full-Stack AI Developer to join our growing AI & Data Science team ... Identify, design, and integrate Generative AI solutions into existing business workflows to deliver ...

This role focuses on providing engineering leadership in the application of advanced Generative AI to revolutionize healthcare through the design and implementation of cutting-edge AI solutions.

The ideal candidate brings a rare combination of enterprise-scale system architecture expertise, deep Generative AI knowledge, and hands-on engineering leadership, enabling them to operate seamlessly ...

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Generative Ai Developer information

See Tennessee salary details

$17

$41

$91

How much do generative ai developer jobs pay per hour?

As of May 28, 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 the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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 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 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 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 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 cities in Tennessee are hiring for Generative Ai Developer jobs? Cities in Tennessee with the most Generative Ai Developer job openings:
Infographic showing various Generative Ai Developer job openings in Tennessee as of May 2026, with employment types broken down into 43% Full Time, 49% Part Time, 4% Contract, and 4% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $85,497 per year, or $41.1 per hour.
Generative AI Engineer (Python & SQL)

Generative AI Engineer (Python & SQL)

Phaxis - Technology

Nashville, TN • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision

Posted 9 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