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Full Stack Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

Baxter

Principal Full Stack Software Engineer

Raleigh, NC · On-site

$120K - $165K/yr

As a Principal Full Stack Software Engineer at Baxter, your work contributes directly to making a ... Ability to design data models supporting long-term binary data collection for AI applications.

Worky

Principal Full Stack Engineer

Durham, NC · On-site

$120 - $180/hr

... Full Stack Engineer (or closely related occupation) developing portfolio construction solutions leveraging Java, Kafka, AWS, and advanced portfolio optimization technologies within a financial ...

Globant

Full Stack Engineer

Raleigh, NC

We are looking for a smart and passionate Full stack engineer to join our team. * You will be required to own and manage the end-to-end life cycle of user stories or technical tasks starting from ...

Direct Supply, Inc.

AI Engineer

Durham, NC · On-site

$90 - $120/hr

We're hiring engineers to design, ship, and operate those systems in production.This role spans the ... Experience working with AI development tools in full-stack applications* Experience designing AI ...

Direct Supply, Inc.

AI Engineer

Durham, NC · On-site

We're hiring engineers to design, ship, and operate those systems in production. This role spans ... Experience working with AI development tools in full-stack applications * Experience designing AI ...

Cardata

Full Stack Software Engineer

Raleigh, NC · On-site

$90 - $120/hr

The Full Stack Software Engineer will work closely with seasoned technology leaders and colleagues with broad and varied backgrounds in a dynamic, agile environment. You must have a passion for ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Raleigh, NC

Full Stack Ai Engineer information

See Raleigh, NC salary details

$43.3K

$131K

$185.2K

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

As of Sep 5, 2026, the average yearly pay for full stack ai engineer in Raleigh, NC is $131,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $153,600.00 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 Raleigh, NC?

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

What job categories do people searching Full Stack Ai Engineer jobs in Raleigh, NC look for?

The top searched job categories for Full Stack Ai Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Full Stack Ai Engineer jobs?

Cities near Raleigh, NC 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 Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $131,000 per year, or $63 per hour.

Full Stack Developer

QUANTUM TECHNOLOGIES LLC

Raleigh, NC • On-site

$87/hr

Other

Posted 3 days ago

New

Job description

Job Title: Full Stack Developer

Location: Raleigh NC

Duration: 6 Months + Extension

Bill Rate: $87/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization:

  • USC
  • GC
  • H-1B
  • OPT-EAD
  • GC-EAD

Job Description:

Full Stack with Java backend and Next Js front end

Hands-on Java experience for 8+ years

Experience in building web applications and REST microservices using Spring Framework

Strong knowledge of and HTTP protocol and REST concept

Strong experience in working with message brokers and asynchronous communication between systems, Kafka preferred

Good working experience on Next.js

Equal opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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