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Ai Coding Jobs in Texas (NOW HIRING)

Jobtailor

Senior QA Engineer, AI

Austin, TX · On-site

$120 - $150/hr

Use AI coding agents to generate and maintain meaningful, risk-based test suites * Test agent behavior, including multi-step task execution, tool usage, failure recovery, safety enforcement, and ...

New

Crunchyroll, LLC

Senior AI Engineer

Dallas, TX · Hybrid

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You will build production software, direct AI coding agents, review AI-generated work, improve delivery practices, and help turn what works into reusable patterns for future Enterprise Technology ...

Crunchyroll, LLC

Staff AI Engineer

Dallas, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Direct AI coding agents by writing clear specs, acceptance criteria, implementation plans, and verification steps. * Review and own AI-generated code, tests, pull requests, and migrations for ...

Aquent

.NET AI Developer

Austin, TX · On-site

$60.90 - $67.67/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Leverage Generative AI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while ...

Crunchyroll, LLC

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Direct AI coding agents by writing clear specs, acceptance criteria, implementation plans, and verification steps. * Review and own AI-generated code, tests, pull requests, and migrations for ...

Crunchyroll, LLC

Staff AI Engineer

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Direct AI coding agents by writing clear specs, acceptance criteria, implementation plans, and verification steps. * Review and own AI-generated code, tests, pull requests, and migrations for ...

Aquent

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Lead the integration and application of Generative AI coding assistants throughout the System Development Life Cycle, from implementation and refactoring to unit testing, regression support, code ...

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All JobsAi Coding JobsAi Coding Jobs in Texas

Ai Coding information

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How much do ai coding jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai coding in Texas is $30.76, according to ZipRecruiter salary data. Most workers in this role earn between $23.27 and $37.16 per hour, depending on experience, location, and employer.

What is an AI coding?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What does an AI coder do?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What skills and qualifications are needed for AI coding?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing relevant education, such as a degree in computer science or related fields, and working on AI projects or internships can also help build practical experience.

What are the most commonly searched types of Ai Coding jobs in Texas?

The most popular types of Ai Coding jobs in Texas are:

What are popular job titles related to Ai Coding jobs in Texas?

For Ai Coding jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Coding jobs in Texas look for?

The top searched job categories for Ai Coding jobs in Texas are:

What cities in Texas are hiring for Ai Coding jobs?

Cities in Texas with the most Ai Coding job openings:

Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $63,989 per year, or $30.8 per hour.

Senior QA Engineer, AI

Jobtailor

Austin, TX • On-site

$120 - $150/hr

Other

Posted 3 days ago

New

Job description

  • Own the quality strategy for teams shipping largely agent-generated code
  • Build and maintain automated test infrastructure across unit, integration, end-to-end, contract, API, performance, and regression testing
  • Define and operate evaluation frameworks for AI-powered features, including datasets, scoring systems, model-as-judge approaches, human calibration, regression tracking, and release gates
  • Design testing strategies for non-deterministic and agentic systems
  • Use AI coding agents to generate and maintain meaningful, risk-based test suites
  • Test agent behavior, including multi-step task execution, tool usage, failure recovery, safety enforcement, and human handoff workflows
  • Instrument production quality signals and use real-world feedback to improve evaluation and testing frameworks
  • Partner with engineering teams throughout the development lifecycle, from refinement through release

Requirements

  • 8+ years of industry experience in test automation or quality engineering
  • Strong programming skills in Python, TypeScript, Java, or C#
  • Track record supporting complex software products
  • Hands-on experience testing AI and model-based systems, including evaluation frameworks and model quality assessment
  • Ability to build and scale automated testing platforms, including CI/CD integration, test data strategies, framework development, and flaky test management
  • Strong understanding of evaluating agentic systems, including tool calling, multi-step workflows, safety mechanisms, and failure handling
  • Regular use of AI coding agents with critical review and accountability for generated software and test assets
  • Experience with API testing, performance testing, and at least one of desktop, web, or distributed backend platforms
  • Deep understanding of AI failure modes, including hallucinations, prompt injection, context degradation, non-determinism, and silent regressions
  • Practical experience with agentic development environments, MCP or comparable tooling, and repository-based management of prompts, instructions, and evaluation assets
  • Strong communication skills and ability to collaborate across distributed teams
  • Passion for helping shape a modern AI-native organization

Core Competencies

Demonstrates expertise in building and maintaining automated test infrastructures, particularly for AI-powered features and agentic systems. Proficient in evaluating model quality and implementing risk-based testing strategies while collaborating effectively with engineering teams.

Highest-signal resume keywords

  • Test Automation
  • Python Programming
  • AI Testing Frameworks
  • CI/CD Integration
  • Agentic Systems Evaluation

ATS Optimization Keywords

Hard Skills

  • Test Automation
  • Python Programming
  • TypeScript Programming
  • Java Programming
  • C# Programming
  • API Testing
  • Performance Testing
  • Automated Testing Platforms
  • Model Quality Assessment
  • Flaky Test Management

Soft Skills

  • Strong Communication Skills
  • Collaboration Across Distributed Teams

Industry Keywords

  • Quality Engineering
  • Agent-Generated Code
  • Non-Deterministic Systems
  • Multi-Step Workflows
  • Safety Mechanisms

Tools & Technologies

  • AI Coding Agents
  • MCP Tooling
  • Evaluation Frameworks
  • Test Data Strategies
  • Agentic Development Environments
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