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Ai Full Stack Developer Jobs (NOW HIRING)

AI Full Stack Engineer

Plano, TX · On-site

$95K - $105K/yr

Position: AI Full Stack Engineer Work Location: Plano, TX Duration: Fulltime/Direct Hire • Design and build scalable, high-performance web applications using React and modern JavaScript. • ...

Full Stack Developer, AI-Focused Location: Washington, DC Schedule: Hybrid, onsite 3 days per week Clearance Required: Active Secret Employment Type: Full-Time We are seeking a cleared Full Stack ...

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 ...

In this role, you will develop innovative full stack applications while integrating Generative AI ... Working alongside a collaborative engineering team, you will develop new application features ...

... and full-stack architecture. Help shape how Eva responsibly applies AI in healthcare workflows ... Hands-on experience with cloud infrastructure and modern DevOps practices, ideally across AWS, GCP ...

In this role, you will develop innovative full stack applications while integrating Generative AI ... Working alongside a collaborative engineering team, you will develop new application features ...

As a Full Stack Developer, you will build and maintain applications that deliver AI capabilities for customer support, collaborating with engineers to enhance SAP's mission-critical support offerings.

Job Role: Full Stack Developer Duration: 6 months+ Location: Brooklyn, OH Onsite (Local only ... AI capabilities to enhance search, insights, and workflow execution. • Manage intake processes ...

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Ai Full Stack Developer information

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$59

$86

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

As of Jul 7, 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 July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,262 per year, or $59.3 per hour.
AI Full Stack Engineer

AI Full Stack Engineer

TiltEdge Solutions LLC

Plano, TX • On-site

$95K - $105K/yr

Full-time

Posted 25 days ago


Job description

Position: AI Full Stack Engineer
Work Location: Plano, TX
Duration: Fulltime/Direct Hire
 
Job Description:
• Design and build scalable, high-performance web applications using React and modern JavaScript.
• Develop backend services using PHP/Hack, Python, and C++.
• Design and consume GraphQL APIs.
• Build robust application architecture and reusable software components.
• Optimize application performance, scalability, and reliability.
• Implement caching strategies using Redis.
• Integrate AI/LLM-based solutions into applications, including agent-based workflows and automation.
• Work with modern AI frameworks and APIs such as Claude, LLaMA, or similar LLM technologies.
• Develop intelligent features such as recommendation engines, automation workflows, and decision support systems.
• Build and maintain ETL/ELT pipelines for large-scale data processing.
• Process and analyze large datasets using Python, SQL, and Spark/distributed systems.
• Design and manage databases including MySQL, Graph Databases, and distributed data platforms.
• Work with AWS cloud services including S3 storage solutions.
• Deploy and manage applications using Docker and Kubernetes.
• Implement monitoring and observability using CloudWatch, Prometheus, and Grafana.
• Manage cloud security and access controls using AWS IAM.
• Ensure code quality using Jest and PyTest frameworks.
• Follow best practices for Git-based version control and CI/CD pipelines.
• Collaborate with cross-functional teams across Product, Data Engineering, AI, and Software Engineering.
 
Required Skills:
• Strong experience with React and JavaScript.
• Backend development experience with PHP/Hack and Python (C++ preferred).
• Experience designing and implementing GraphQL APIs.
• Strong understanding of system design and distributed systems.
• Strong SQL and data pipeline development experience.
• Hands-on experience with AWS, Docker, and Kubernetes.
• Experience with monitoring tools such as Prometheus, Grafana, and CloudWatch.
• Experience building scalable, production-grade applications.
 
Preferred Skills:
• Experience integrating AI/LLM solutions into enterprise applications.
• Familiarity with Spark and big data ecosystems.
• Experience with Graph Databases and real-time data processing.
• Experience working on data-intensive and high-scale platforms.
 
Qualification:
• Bachelor's degree in computer science, Software Engineering, Information Technology, or related field.
• Strong Full Stack Engineering background with backend development expertise.
• Experience working with AI-enabled applications and data engineering workflows.
• Strong problem-solving, communication, and collaboration skills.