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Full Stack Ai Engineer Jobs in Addison, TX (NOW HIRING)

Hirekeyz Inc

AI/Full Stack Engineer

Irving, TX · Remote

AI/Full Stack Engineer Location: Irving, TX (Remote) Job Type: Contract We are rapidly expanding our team and seeking highly skilled and experienced AI/Full Stack Engineers to contribute to the ...

Redolent, Inc.

Sr. Full Stack Engineer

Irving, TX · On-site

Hybrid (3 Days Onsite / 2 Days Remote) Job Overview We are seeking an experienced Sr. Full Stack Engineer with a strong background in full-stack application development, cloud technologies, AI/ML ...

Citigroup, Inc.

Full Stack Engineer

Irving, TX · On-site

From a technical standpoint, the Software Engineer has full-stack coding and implementation ... AI-Driven Development : Leverage AI tools, such as GitHub Copilot, to enhance development ...

Echo IT Solutions

AI/Full Stack Engineer

Irving, TX · On-site

Echo IT Solutions is rapidly expanding its team and seeking highly skilled and experienced AI/Full Stack Engineers to contribute to the development and deployment of cutting-edge AI-powered ...

Drillo.AI

Java Full stack Developer

Dallas, TX · On-site

$52.25 - $67.25/hr

Java Full Stack Developer Location: Dallas, TX / New Jersey Employment Type: Fulltime/Contract ... Write unit test cases with the help of AI to ensure code quality and reliability. * Collaborate ...

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... We build AI agents, copilots, integrations, and business applications that eliminate manual ...

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Showing results 21-40

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Addison, TX

Full Stack Ai Engineer information

See Addison, TX salary details

$43.1K

$130.5K

$184.4K

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

As of Sep 1, 2026, the average yearly pay for full stack ai engineer in Addison, TX is $130,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $153,000.00 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.

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

The top searched job categories for Full Stack Ai Engineer jobs in Addison, TX are:

What cities near Addison, TX are hiring for Full Stack Ai Engineer jobs?

Cities near Addison, TX 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 Addison, TX as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $130,465 per year, or $62.7 per hour.

AI/Full Stack Engineer

Irving, TX • Remote

Hirekeyz Inc
See more jobs at Hirekeyz Incexternal

Contractor

Re-posted 24 days ago

Job description

Role: AI/Full Stack Engineer

Location: Irving, TX (Remote)
 
Job Type: Contract
 
 
Job Description:
 
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 -    

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

Job Duties -    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 -    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 & Experience -    Bonus Points:

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).