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Full Stack Ai Engineer Jobs in Tennessee (NOW HIRING)

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience ... stack and the talent landscape. Our clients look for engineers who bring more than just model ...

United Airlines

Full stack Engineer

Nashville, TN

$53K - $122K/yr

Your skills and experience 3-6 years of experience in Full stack development development with ... AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Deloitte

Applied AI Engineer II

Hermitage, TN · On-site

$85K - $117K/yr

You will leverage your engineering craftsmanship across full-stack software engineering and modern frameworks-together with applied AI fluency that lets you build GenAI and agentic capabilities ...

Deloitte

Applied AI Engineer II

Nashville, TN · On-site

$94K - $128K/yr

You will leverage your engineering craftsmanship across full-stack software engineering and modern frameworks-together with applied AI fluency that lets you build GenAI and agentic capabilities ...

Stifel

Sr Developer - Full Stack

Memphis, TN · On-site

... in a full-stack environment. The Senior Developer will participate in defining Stifel's best ... PREFERRED EXPERIENCE IN AI/ML Infrastructure and Development: Hands-on experience or strong ...

Pwc

AI Solutions Engineering Delivery Lead

Nashville, TN · On-site

$99K - $130K/yr

... full-stack AI solutions. As a senior technical leader, you will leverage deep technical ... Data Science, Engineering, Mathematics, or related technical field - Minimum of 10 years of ...

Stifel

Sr Developer - Full Stack

Memphis, TN · On-site

... in a full-stack environment. The Senior Developer will participate in defining Stifel's best ... PREFERRED EXPERIENCE IN AI/ML Infrastructure and Development: • Hands-on experience or strong ...

Stifel

Sr Developer - Full Stack

Memphis, TN · On-site

... in a full-stack environment. The Senior Developer will participate in defining Stifel's best ... PREFERRED EXPERIENCE IN AI/ML Infrastructure and Development: • Hands-on experience or strong ...

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Showing results 41-60

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Tennessee

Full Stack Ai Engineer information

See Tennessee salary details

$40.4K

$122.3K

$172.9K

How much do full stack ai engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full stack ai engineer in Tennessee is $122,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $143,400.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Tennessee?

For Full Stack Ai Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Tennessee look for?

The top searched job categories for Full Stack Ai Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Full Stack Ai Engineer jobs?

Cities in Tennessee with the most Full Stack Ai Engineer job openings:

Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Tennessee as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $122,320 per year, or $58.8 per hour.

Cloud Engineer - Full Stack Developer

Innovative Solutions

Nashville, TN • On-site

$100K - $160K/yr

Full-time

Re-posted 28 days ago

Job description

As a Full Stack Cloud Engineer, you'll build and modernize scalable AWS-based applications - developing backend services, APIs, and integrations while also contributing to frontend dashboards and user interfaces. One engagement you may be migrating and refactoring a legacy application into a serverless, microservices architecture using Lambda and API Gateway, the next you're building full-stack cloud-native applications using React, Python, or Java with secure, event-driven AWS services. You'll collaborate closely with clients and project teams to design solutions, improve architectures, and deliver modern cloud applications that are secure, scalable, and business-driven. 

What You'll Do:

  • Assisting in the designing and building modern and highly scalable cloud-based applications for customers
  • Migrating and modernizing customer legacy applications using AWS services
    Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs
  • Actively participating in team meetings and cross-functional interactions
  • Keeping team members and supervisors informed of progress and issues
  • Actively contributing to client project status meetings
  • Contributing to R&D projects to validate/invalidate new services offerings
  • Remaining current with technology trends and new technologies
  • Proposing the latest technology usage and integration standards
  • Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP
  • Participating in code reviews, document infrastructure-as-code, and assist with UI/UX
  • Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React
  • Utilizing best practices for security, compliance, and business continuity in cloud solutions
 

Required Skills

  • 5+ years' experience as a cloud engineer with hands-on expertise across AWS cloud services
  • Strong experience with infrastructure-as-code tools like CloudFormation
  • Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework
  • Experience using AWS platforms including but not limited to Cognito and Amplify
  • Understanding of modern app architectures in cloud environments
  • Able to collaborate with cloud engineer and project management teams
 

Preferred

  • AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates
  • In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.
  • Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.
  • Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.
  • Experience using AWS command line tools and SDKs to manage infrastructure as code
  • Building, deploying, managing microservices applications on AWS
  • Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS
  • Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud
  • Experience with CI/CD pipelines and automated testing
  • Building event-driven architectures on cloud platform
  • Using infrastructure as code tools like CloudFormation
  • Frontend JavaScript frameworks like React
  • Machine learning capabilities like SageMaker
  • Leveraging serverless architectures where applicable
$100,000 - $160,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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