1

Ai Full Stack Developer Jobs (NOW HIRING)

About Nexusflow.ai Modern enterprise copilots & agents call for last-mile quality, enterprise-grade ... Full-Stack Engineer Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack ...

Own the technical direction, architecture, and delivery standards for full-stack application engineering across the Forge portfolio. * Design and build enterprise-grade applications, AI-integrated ...

We are seeking an experienced AI Full Stack Engineer to build modern applications where AI is a ... and developer productivity * Experience working in cloudnative environments, including CI/CD ...

Job Role - AI Full Stack Engineer Location: Tampa, FL Duration: 6 months To Long Term . Role Descriptions: We are looking for a versatile Full-Stack AI Engineer proficient in backend and frontend ...

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning ...

Full Stack Developer Full Stack Developer needed in Plano (hybrid, 3 days onsite) with React ... Must have experience with GenAI and Agentic AI, including creating and deploying LangGraph agentic ...

The AI Full Stack Engineer is a pivotal role within the Service Intelligence team, responsible for ... You adhere to in-depth domain knowledge and promote a DevOps and Cloud-focused approach. You will ...

AI Full-Stack Engineer

Scottsdale, AZ · On-site

$90K - $150K/yr

Build Full-Stack AI Features: Use JavaScript, Node.js, and Python to integrate AI capabilities into ... Collaborate with our DevOps team to ensure our services are secure, scalable, and built on modern ...

next page

Showing results 1-20

Ai Full Stack Developer information

See salary details

$24

$59

$86

How much do ai full stack developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for ai full stack developer in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

More about Ai Full Stack Developer jobs
What cities are hiring for Ai Full Stack Developer jobs? Cities with the most Ai Full Stack Developer job openings:
What states have the most Ai Full Stack Developer jobs? States with the most job openings for Ai Full Stack Developer jobs include:
Infographic showing various Ai Full Stack Developer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.
AI/Full Stack Engineer

AI/Full Stack Engineer

Software Technology Inc

Irving, TX • On-site

Other

Posted 2 days ago


Job description

AI/Full Stack Engineer

We are rapidly expanding our team and seeking highly skilled and experienced AI/Full Stack Engineers to contribute to the development and deployment of cutting-edge AI-powered applications. You will play a key role in building robust backend systems and integrating Large Language Models to create innovative solutions. This is a fast-paced environment requiring individuals who can hit the ground running and have a proven track record of delivering production-ready applications.

Required Skills and Qualifications:

Python. Backend development and AI integration. Language Models, with a primary focus on OpenAI.

Job Duties and Responsibilities:

Design, develop, and deploy backend infrastructure and APIs to support AI-driven applications. Integrate and work extensively with Large Language Models (primarily OpenAI). Develop and refine prompts to optimize the performance and accuracy of LLMs. Utilize Azure AI services, including Document Intelligence, Azure OpenAI, and AI Search, to build intelligent features. Implement and manage MongoDB databases for application data storage. Contribute to the development of end-to-end prototype applications with a focus on backend functionality and automated testing. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Ensure the scalability, reliability, and performance of deployed AI applications. Apply GenAI concepts and techniques to solve real-world problems. Focus on the practical application of AI, with an emphasis on deploying models and solutions into production environments.

Job Requirements and Qualifications:

Minimum of 3 years of professional experience in software engineering with a focus on backend development and AI integration. Strong proficiency in Python. Hands-on experience working with Language Models, with a primary focus on OpenAI. Proven ability to develop and optimize prompts for LLMs. Solid understanding and practical experience with Azure AI services (Document Intelligence, Azure OpenAI, AI Search). Experience with backend development and API creation. Proficiency in working with MongoDB. Exposure to Generative AI concepts and their practical application. A strong focus on Applied AI, with a demonstrable history of deploying AI solutions into production. Excellent problem-solving and communication skills. Ability to work independently and as part of a collaborative team.

Desired Skills and Experience:

Experience with DevOps pipelines and deployment processes e.g. GitHub Actions. Experience with Docker and Kubernetes. Infrastructure as code e.g. Terraform. Experience with Authentication and Authorization frameworks. Familiarity with front-end development technologies e.g. React.js (though the primary focus is backend).