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Ai Full Stack Developer Jobs in Texas (NOW HIRING)

TiltEdge Solutions LLC

AI Full Stack Engineer

Plano, TX · On-site

$100K - $110K/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. • ...

TiltEdge Solutions LLC

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. • ...

APCON

Full Stack Developer - AI

Plano, TX

We are looking for a Full Stack Developer - AI who reflects these values. This role is fully on site. Candidates selected to move forward will complete our standard prescreening process, which ...

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 ...

Next Step Systems

Full Stack Developer

Houston, TX · On-site

Full Stack Developer, Houston, TX Have 2 openings. These Full Stack Developer openings are 12 month contracts. These positions are not open for Sponsorship. US Citizen/Green Card Holder only. - Need ...

NAVA Software Solutions

Full Stack Developer

Austin, TX · On-site

Full Stack Developer Location: Austin TX - Hybrid Duration: 6-12 months * 10 years of hands-on experience developing Full stack apps using TypeScript, ReactJS, and NodeJS * Hands-on and conversant in ...

PBK

Full Stack Developer III

Austin, TX

The Full Stack Developer III builds and supports applications, integrations, and digital tools that ... Use AI-assisted development tools responsibly, including coding copilots, test generation ...

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All JobsAi Full Stack Developer JobsAi Full Stack Developer Jobs in Texas

Ai Full Stack Developer information

See Texas salary details

$22

$55

$80

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

As of Jun 27, 2026, the average hourly pay for ai full stack developer in Texas is $55.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.61 per hour, depending on experience, location, and employer.

Did Elon Musk create a new AI?

Elon Musk has been involved in AI development through ventures like OpenAI and Neuralink, but he did not create a new AI himself. As an AI Full Stack Developer, understanding the contributions of industry leaders can inform your work on developing and deploying advanced AI systems using tools like machine learning frameworks and cloud platforms.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large tech companies or finance firms. These positions usually require advanced skills in AI, deep learning, and extensive experience, and may include bonuses or stock options that contribute to the total compensation package.

What 3 jobs will not be replaced by AI?

Ai Full Stack Developers are less likely to be replaced by AI because their roles require complex problem-solving, creativity, and understanding of user needs that AI cannot fully replicate. Jobs involving advanced interpersonal skills, such as healthcare professionals, mental health counselors, and skilled tradespeople, are also less susceptible to automation. These roles depend on human judgment, empathy, and adaptability that AI tools currently cannot match.

Is there any AI for free?

As an AI Full Stack Developer, you can access free AI tools and platforms such as TensorFlow, PyTorch, and Hugging Face for developing and deploying AI models. Many cloud providers also offer free tiers or trial credits for AI services, which can be useful for learning and prototyping. However, advanced or large-scale AI solutions often require paid subscriptions or infrastructure investments.

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.

What are popular job titles related to Ai Full Stack Developer jobs in Texas? For Ai Full Stack Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Full Stack Developer jobs in Texas look for? The top searched job categories for Ai Full Stack Developer jobs in Texas are:
What cities in Texas are hiring for Ai Full Stack Developer jobs? Cities in Texas with the most Ai Full Stack Developer job openings:
Ai Full Stack Developer jobs near you
Infographic showing various Ai Full Stack Developer job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,837 per year, or $55.2 per hour.

AI Full Stack Engineer

TiltEdge Solutions LLC

Plano, TX • On-site

$100K - $110K/yr

Full-time

Posted 15 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.