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Generative Ai Developer Jobs in Tennessee (NOW HIRING)

Brooksource

AI Engineer (Intermediate)

Franklin, TN · On-site

$65 - $80/hr

Generative AI Engineer Location: Remote Duration: 6-Month Contract Overview Our client is seeking a Generative AI Engineer to support the development and implementation of enterprise AI initiatives.

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 ...

Deloitte

Forward Deployed Engineer- AWS

Nashville, TN · On-site

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases * Partner with engineering teams to develop technology infrastructure * Optimize ...

Cyod

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

... Generative AI Leader, or relevant Google Cloud and AI certifications. * DevOps / Engineering: GitHub, Google Cloud Professional DevOps Engineer, Kubernetes (CKA), Terraform, or cloud‑native ...

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Generative Ai Developer information

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$17

$41

$91

How much do generative ai developer jobs pay per hour?

As of Aug 27, 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 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 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 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 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $85,497 per year, or $41.1 per hour.

AI Engineer (Intermediate)

Franklin, TN • On-site

Brooksource
IT Services • 501 - 1,000 employees
Learn more about Brooksourceexternal

$65 - $80/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Generative AI Engineer
Location: Remote
Duration: 6-Month Contract
Overview
Our client is seeking a Generative AI Engineer to support the development and implementation of enterprise AI initiatives. Working alongside senior AI leadership, this individual will help build, integrate, and deploy Generative AI solutions that improve business processes and unlock value from enterprise data.
This role is ideal for an engineer with a strong foundation in AI, machine learning, or data science who enjoys hands-on development and collaborating with cross-functional teams. The successful candidate will work closely with architects, data engineers, and business stakeholders to turn AI concepts into production-ready solutions.
Responsibilities
  • Develop and implement Generative AI solutions using modern AI platforms and cloud technologies.
  • Build and optimize prompts, AI workflows, and Retrieval-Augmented Generation (RAG) applications.
  • Integrate AI solutions with enterprise data platforms including Snowflake, Microsoft Fabric, and cloud-based data services.
  • Collaborate with senior AI engineers and architects to implement scalable AI solutions.
  • Develop APIs, pipelines, and automation that enable AI-powered applications.
  • Build proof-of-concepts and assist with production deployment of AI capabilities.
  • Test, troubleshoot, and optimize AI models and applications for performance and reliability.
  • Work with data engineering teams to prepare and integrate structured and unstructured data for AI consumption.
  • Document technical solutions and contribute to AI development standards and best practices.
  • Stay current with emerging AI technologies and recommend improvements to existing solutions.

Required Qualifications
  • 3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
  • Hands-on experience developing Generative AI applications or machine learning solutions.
  • Experience working with Large Language Models (LLMs), prompt engineering, and AI APIs.
  • Experience building AI applications using Python or similar programming languages.
  • Familiarity with cloud platforms including Microsoft Azure and AWS.
  • Experience working with:
  • Microsoft AI ecosystem (Azure AI, Azure OpenAI, Microsoft Fabric, Microsoft Copilot, etc.)
  • Snowflake
  • Understanding of REST APIs, data integration, and cloud-native application development.
  • Strong problem-solving skills and the ability to work in a collaborative Agile environment.

Preferred Qualifications
  • Experience with Retrieval-Augmented Generation (RAG), vector databases, or semantic search.
  • Experience with LangChain, Semantic Kernel, AutoGen, or similar AI orchestration frameworks.
  • Familiarity with MLOps, CI/CD, and deploying AI solutions into production.
  • Exposure to AI governance, responsible AI, and enterprise security practices.
  • Experience with Microsoft Fabric
  • Experience with Curo or similar enterprise data platform

Technology Stack
  • Microsoft Azure & Microsoft AI Suite
  • AWS
  • Snowflake
  • Microsoft Fabric
  • Curo
  • Python
  • REST APIs
  • Large Language Models (OpenAI, Anthropic, Gemini, etc.)
  • Prompt Engineering
  • RAG
  • Git & CI/CD

Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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