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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 ...

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 ...

Deloitte

Lead Applied AI Engineer II

Nashville, TN · On-site

$99K - $130K/yr

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

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 ...

Deloitte

Lead Applied AI Engineer II

Hermitage, TN · On-site

$89K - $118K/yr

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

Stifel

Sr Developer - Full Stack

Memphis, TN

... 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 ...

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 ...

Cheez

... engineering experience * Have built mobile apps (and/or web apps) full-stack before ... Enthusiastic about photo sharing and/or AI and/or social media

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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 Jul 31, 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.

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 the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

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.
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:
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Tennessee as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $122,320 per year, or $58.8 per hour.

AI Engineer

FOCUSPOINT

Nashville, TN • On-site

Contractor

Medical, Dental, Vision, Life

Re-posted 11 days ago

Job description

Job Title: AI Engineer
Location: Varies by client
Employment Type: Contract
Pay: Commensurate with experience

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.

Job Overview:
FOCUSPOINT is seeking an experienced AI Engineers for our client base.

We're partnering with forward-thinking companies that are scaling their machine learning operations and real-time AI deployments. As an AI Engineer, you’ll play a pivotal role in designing, training, and refining intelligent systems across key business domains. This is your opportunity to be at the forefront of innovation—with support from a team that understands both the tech stack and the talent landscape.

Our clients look for engineers who bring more than just model fluency—they need builders, integrators, and problem-solvers who can bridge research with production.

Key Responsibilities:

  • Design, implement, and optimize AI/ML models (NLP, CV, RL, LLM fine-tuning) to solve high-impact business problems
  • Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance
  • Develop scalable pipelines for data ingestion, feature engineering, model training and deployment
  • Stay current with emerging AI frameworks and contribute to internal knowledge-sharing and POC development
  • Ensure model integrity, reproducibility, and ethical AI guidelines in deployment

Qualifications:

  • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field
  • 3–5 years of experience in AI/ML development, with hands-on work deploying models in production
  • Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks like MLflow or Kubeflow
  • Cloud experience with AWS/GCP/Azure; containerization with Docker/Kubernetes preferred
  • Strong understanding of model architecture, training optimization, and performance tuning

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Vision insurance