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Full Stack Ai Engineer Jobs (NOW HIRING)

ECS

Java Full-Stack AI Engineer

Memphis, TN · On-site

$54.50 - $70.50/hr

ECS is seeking a Java Full-Stack AI Engineer to work in our Memphis, TN office. ECS is seeking a highly skilled and motivated Java Full-Stack AI Engineer to support our USPS client. The candidate ...

New

ClifyX

Senior Full Stack AI Engineer

Minneapolis, MN · On-site

They are seeking a Senior Full Stack AI Engineer to design, build, and scale AI capabilities that enhance Portfolio Management and Research workflows. Responsibilities : • We are seeking a Senior ...

MAS Global Consulting

Full Stack AI Engineer

Plano, TX · On-site

Plano, TX Onsite, 5 days/week Senior AI/ML Full Stack Engineer Location: Plano, TX Work Arrangement: Onsite, five days per week Who We Are MAS Global Consulting is a premium digital engineering ...

ECS

Senior Full Stack AI Developer

Fairfax, VA · On-site

$125K - $185K/yr

Everforth ECS is seeking an Senior Full Stack AI Developer to work remotely . We are looking for a talented Senior Full Stack AI Developer, who is passionate about development and engineering with ...

Light-

Full-stack AI Engineer

Austin, TX · On-site

Position SummaryAbout the TeamWe are building a tight-knit, senior engineering group based in ... Our mission is to design, deliver, and scale production-grade Agentic AI workflows that execute ...

Chaos Labs

Senior Full Stack AI Engineer

The Role We're hiring a Senior Full-Stack AI Software Engineer to own the design, development, and operation of full-stack applications and infrastructure that power our enterprise AI platform . This ...

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Full Stack Ai Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Sep 15, 2026, the average yearly pay for full stack ai engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 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.
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 67% In-person, 12% Hybrid, and 21% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Java Full-Stack AI Engineer

Memphis, TN • On-site

ECS
See more jobs at ECSexternal

$54.50 - $70.50/hr

Full-time

Posted 3 days ago

New

Job description

ECS is seeking a Java Full-Stack AI Engineer to work in our Memphis, TN office.
ECS is seeking a highly skilled and motivated Java Full-Stack AI Engineerto support our USPS client. The candidate will enhance enterprise services and solutions for USPS, as part of an integrated evaluation, integration, strategy, design, implementation, and operational maintenance program. Participates in the design, development, and implementation of software engineering activities. Responsible for the development of components of many analytical tasks and activities. Establishes input/output processes and defining parameters for interfacing with external production systems and the implementation of system design. Must be able to provide and communicate technology solutions across technical, managerial and customer audiences. Responsible for the resolution process for problems where troubleshooting requires an in-depth understanding and evaluation of system processes. Exercises judgment through understanding of software engineering best practices in selecting methods, techniques, and evaluation criterion for obtaining results. This role bridges traditional applications with modern AI-driven data workflows, ensuring our systems are scalable, secure, and ready for intelligent automation. As this role will involve supporting rapidly evolving AI/ML projects and use cases, the candidate must have experience in any of the following areas: NLP, data provenance, LLMs/RAG, or deep learning.
Responsibilities:
  • Design, develop and implement web-based applications.
  • Design, develop and implement highly complex applications utilizing Oracle and Java technologies.
  • Demonstrate strong troubleshooting skills to solve complex problems across a large enterprise.
  • Demonstrate a flexible attitude, ability to perform under pressure and ability to handle change easily while meeting deadlines.
  • Communicate with technical and non-technical audiences verbally and in writing to design efficient and effective applications.
  • Work independently and in a team environment, to give and receive direction.
  • Develop and revise Java source code based on clearly defined requirements.
  • Experience in designing, architecting, and building Kafka based solutions.
  • Extensive experience with messaging and stream processing on Kafka.
  • Participate in code reviews for team members as well as yourself.
  • Assist in the setup of production environments including application servers and database structure.
  • Assist in the implementation of applications through various testing phases and into production environments.
  • Must be able to communicate effectively, work in a team environment and think analytically.
  • Perform maintenance on programs currently in production.
  • Assist QA teams with writing test scripts and explaining functionality.
  • Unit Testing candidate releases.
  • Collaborate with other departments to ensure high availability and performance.
  • Partner with data scientists, data architects, and federal stakeholders to build and deploy AI/ML models in production.

  • Master's Degree in Computer Science, Engineering, Mathematics, Business Management or equivalent.
  • Must be US citizen or Green Card Holder per contract and must be able to obtain a Public Trust clearance
  • 12+ years of general experience in information systems, including 7 years of specialized experience providing state-of-the-art solutions in information systems technology
  • 5+ years of experience with web technologies (HTML, CSS, JavaScript frameworks)
  • 5+ years of experience with Java server technologies (JEE, Spring Framework, Spring Boot)
  • 3+ years of experience with SQL and PL/SQL on Oracle or similar platform
  • 5+ years of experience with IBM MQ and stream processing on Kafka.
  • Expertise in troubleshooting, performance tuning, and query optimization.
  • Excellent communication, problem-solving, and organizational skills.
  • Ability to work independently and as part of a team.
  • Experience with Large Language Models, NLP, GenAI, and scaling of AI tools
  • Work comfortably in version control systems (e.g., Git)
  • Partner with data scientists, data architects, and federal stakeholders to build and deploy AI/ML models in production

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