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Ai Coding Jobs in Dallas, TX (NOW HIRING)

Aquent Talent

Senior AI Developer [AQ-13368]

Southlake, TX · On-site

$81.90 - $91/hr

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 ...

Citigroup, Inc.

Lead AI Engineer

Irving, TX · On-site

$156K - $234K/yr

Build and deliver production-grade, full-stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot). * Rapid Value Delivery: Champion MVP-driven delivery ...

2843

Mid Coding Specialist II

Dallas, TX · Remote

Evaluates and resolves AI-assisted coding exceptions to ensure coding accuracy, regulatory compliance, audit readiness, and appropriate reimbursement. Work From Home: The successful candidate must ...

RealPage, Inc.

Software Engineer II

Richardson, TX

$85K - $146K/yr

This role is expected to use AI coding agents as a primary implementation tool while retaining full ownership and accountability for code quality, correctness, and security. * Design, implement, and ...

RealPage Inc.

Software Engineer II

Richardson, TX · On-site

$85K - $146K/yr

This role is expected to use AI coding agents as a primary implementation tool while retaining full ownership and accountability for code quality, correctness, and security. Responsibilities * Design ...

OrangePeople

AI Architect

Plano, TX · On-site +1

$60.25 - $79.25/hr

This role is ideal for someone who understands enterprise architecture, Generative AI, AI agents, coding assistants, DevOps, governance, platform engineering, and software delivery transformation.

New

RealPage, Inc.

Software Engineer II

Richardson, TX

$85K - $146K/yr

This role is expected to use AI coding agents as a primary implementation tool while retaining full ownership and accountability for code quality, correctness, and security. Responsibilities * Design ...

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All JobsAi Coding JobsAi Coding Jobs in Dallas, TX

Ai Coding information

See Dallas, TX salary details

$13

$32

$53

How much do ai coding jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai coding in Dallas, TX is $32.67, according to ZipRecruiter salary data. Most workers in this role earn between $24.71 and $39.47 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 Dallas, TX?

The most popular types of Ai Coding jobs in Dallas, TX are:

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

What job categories do people searching Ai Coding jobs in Dallas, TX look for?

The top searched job categories for Ai Coding jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Ai Coding jobs?

Cities near Dallas, TX with the most Ai Coding job openings:

Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Dallas, TX as of August 2026, with employment types broken down into 49% Full Time, 17% Part Time, 17% Temporary, and 17% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $67,944 per year, or $32.7 per hour.

IT Architect 3 - AI Software Engineering Lead | Irving, TX (Onsite)

Startekk Inc

Irving, TX • On-site

Full-time

Posted 12 days ago

Job description

Company Description
  • StarTekk’s adoption of Digital Transformation is to accelerate organizational growth, increase efficiencies and help Star Workforce achieve focused business goals. The Employee will help our organization to identify and bridge the gap that exists in the business by analyzing the data, scale and support digital transformation initiatives.
Job Description

We are seeking an experienced AI Software Engineering Lead / IT Architect to drive the adoption of AI-powered software engineering platforms and agentic development capabilities across enterprise engineering teams. This role focuses on AI-assisted software development, engineering productivity transformation, developer tooling strategy, and autonomous engineering workflows utilizing platforms such as Cursor, Claude Code, GitHub Copilot, and emerging AI coding agents.

The ideal candidate will establish AI engineering standards, governance frameworks, best practices, and adoption strategies while partnering with engineering teams to accelerate software delivery, improve software quality, and enhance developer productivity.

Key Responsibilities:

Evaluate and benchmark AI software engineering platforms including Cursor, Claude Code, GitHub Copilot, and emerging AI development tools.

Define and implement AI-assisted software engineering standards, governance, and best practices.

Lead AI pilot initiatives and scale successful engineering productivity solutions across development organizations.

Design and promote agentic development workflows and specification-driven development practices.

Measure and improve developer productivity, software quality, and SDLC efficiency through data-driven metrics.

Create reference architectures, implementation patterns, and technical guidance for AI-native software development.

Collaborate with software architects, engineering managers, product teams, and platform teams to integrate AI capabilities into the software lifecycle.

Assess security, compliance, and governance considerations related to AI coding platforms.

Mentor engineering teams on modern software engineering practices and AI-powered development workflows.

Drive continuous improvement initiatives focused on delivery velocity, code quality, technical debt reduction, and developer experience.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

5+ years of relevant software engineering, architecture, or technical leadership experience.

Strong experience working in Agile/Scrum environments.

Excellent communication, collaboration, and problem-solving skills.

Required Skills:

Hands-on experience with AI coding platforms such as Cursor, Claude Code, GitHub Copilot, or similar tools.

Strong backend development experience using Java/Spring Boot and Python.

Experience with APIs, integration services, distributed systems, and cloud-native architectures.

Deep understanding of software architecture, engineering best practices, and SDLC processes.

Knowledge of prompt engineering and agentic development workflows.

Experience defining and measuring engineering productivity metrics.

Strong technical leadership and architecture experience.


Additional Information

Preferred Skills:

Specification-driven development.

AWS and/or Azure cloud platforms.

Developer experience platforms and DevOps practices.

Exposure to Robotics, Physical AI, Simulation, or Digital Twin technologies.

Technical mentoring and design review experience.

Soft Skills:

Strong analytical and troubleshooting abilities.

Effective communication and stakeholder management skills.

Ability to work in ambiguous and rapidly evolving environments.

Ownership mindset with accountability for delivery.

Strong documentation and cross-functional collaboration skills.