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Generative Ai Developer Jobs in Tennessee (NOW HIRING)

This role blends full stack engineering with modern AI/ML, integrating generative AI and advanced analytics within Azure, AWS, and GCP to achieve tangible business outcomes. If you are a creative ...

Principal AI Agent / ML Software Engineer

Nashville, TN ยท On-site

$130K - $174K/yr

Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first ...

New

Principal AI Agent / ML Software Engineer

Nashville, TN ยท On-site

$130K - $174K/yr

Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first ...

New

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

Senior AI Software Engineer

Nashville, TN ยท On-site

$118K - $156K/yr

Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first ...

Senior AI Software Engineer

Nashville, TN ยท On-site

$118K - $156K/yr

Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first ...

Senior AI Software Engineer

Nashville, TN ยท On-site

$118K - $156K/yr

Evaluate and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first ...

AI - Data Engineer

Nashville, TN ยท 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 ...

Senior AI Engineer

Nashville, TN ยท On-site +1

$100K - $138K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Showing results 21-40

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:
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.

Sr. UiPath Developer / AI

Ruri Software Technologies LLC

Nashville, TN โ€ข On-site

$92K - $127K/yr

Full-time

Posted 13 days ago


Job description

Title: UiPath Developer - AI/System Programmer 4
Nashville, TN - Onsite/Hybrid
Only Locals required - Tennessee locals only
W2 position / C2C will not considered
The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across state government agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath's automation platform.
Key Duties and Responsibilities
Design, develop, test, and implement UiPath automation solutions for state government
business processes.
Build and maintain automations including attended, unattended, and scheduled bots for
repetitive, rules-based workflows.
Analyze business requirements and translate them into scalable automation solutions using
UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies.
Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation.
Create reusable automation components, libraries, & templates to support enterprise
automation initiatives.
Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services.
Implement secure automation practices aligned with state cybersecurity, privacy, and
compliance standards.
Perform testing, debugging, troubleshooting, and ongoing maintenance of automation
solutions.
Monitor bot performance, resolve production issues, and optimize automation reliability and
efficiency.
Develop technical documentation and workflow diagrams.
Support citizen service modernization initiatives through intelligent automation technologies.
Agentic AI Responsibilities
Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities.
Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls.
Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows.
Build human-in-the-loop workflows that combine AI agents with employee oversight and
approval processes.
Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications.
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration
techniques within UiPath ecosystems.
Ensure responsible AI practices including transparency, auditability, bias mitigation, security,
and compliance with government policies.
Evaluate emerging AI and automation technologies to improve state operational efficiency and service delivery.
Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies.
Preferred Technical Skills
UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding
REFramework and enterprise RPA design patterns
API integrations, REST/SOAP services, SQL databases
OCR technologies and intelligent document processing
Generative AI, LLM integration, prompt engineering, and AI orchestration
Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript
Cloud platforms and enterprise authentication/security concepts
Agile/Scrum development methodologies