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Ai Coder Jobs in Texas (NOW HIRING)

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 ...

ForeFlight

Principal AI Engineer

Austin, TX · On-site +1

$208K - $255K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Evaluate, prototype, and operationalize AI coding agents and AI-native developer tooling * Drive adoption of tools and workflows that materially improve developer productivity, software quality, and ...

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 ...

IntraEdge

AI-Augmented Full Stack Engineer

Austin, TX · On-site

Write clean, modular, maintainable, and well-tested code. Apply strong computer science ... AI-Augmented Development Use GenAI tools to accelerate software delivery across the SDLC. Leverage ...

Aalo Atomics

AI Platform Architect

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • PTO

AI coding agents, agent harnesses, orchestration frameworks, and shared tooling * Observability, evaluation, telemetry, security controls, and feedback systems What you'll do * Maintain, evolve, and ...

Sonar

Marketing AI Engineer

Austin, TX

As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Sonar

Marketing AI Engineer

Austin, TX · On-site

As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Sonar

Marketing AI Engineer

Austin, TX

As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.

Sonar

AI Systems Engineer

Austin, TX · Remote

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

Sonar

AI Systems Engineer

Austin, TX · On-site

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

Sonar

AI Systems Engineer

Austin, TX · Remote

As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and ...

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Showing results 21-40

All JobsAi Coder JobsAi Coder Jobs in Texas

Ai Coder information

See Texas salary details

$14

$25

$40

How much do ai coder jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai coder in Texas is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $32.26 per hour, depending on experience, location, and employer.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

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

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

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

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

What cities in Texas are hiring for Ai Coder jobs?

Cities in Texas with the most Ai Coder job openings:

Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $53,274 per year, or $25.6 per hour.

.NET AI Developer

Aquent

Austin, TX • On-site

$60.90 - $67.67/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 10 days ago

Job description

Placement Type:
Temporary
Salary:
$60.90-67.67 Hourly
W2
Start Date:
Aug 28, 2026
Partnering with Aquent, we are seeking an innovative and driven technologist for a leading organization within the financial services sector. This company is at the forefront of digital transformation, building cutting-edge solutions that impact millions of users and drive the future of finance. Join a team dedicated to engineering excellence and leveraging advanced technologies to solve complex business challenges.
Are you ready to shape the future of intelligent financial solutions? We are looking for a visionary technologist to lead the integration of artificial intelligence into critical business workflows. In this pivotal role, you will be at the intersection of robust engineering, event-driven architectures, and cloud-native platforms, directly influencing how intelligent solutions are built and delivered within a dynamic financial environment. Your expertise will be instrumental in modernizing systems, enhancing developer productivity, and driving significant advancements in our technology landscape.
What You Will Do
  • Lead the design and implementation of highly scalable, resilient, and event-driven applications utilizing .NET, event streaming platforms, and cloud-native architecture patterns.
  • Build and modernize high-volume services, APIs, and distributed application capabilities essential for reliable transaction processing and business-critical workflows.
  • Collaborate closely with architects, product owners, developers, and cross-functional technology teams to translate business capabilities into high-quality technical solutions.
  • Leverage Generative AI coding assistants to accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while ensuring ownership for correctness and quality.
  • Apply agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to significantly improve developer productivity and team execution.
  • Drive engineering quality through automated testing, rigorous code review discipline, performance analysis, observability, resiliency design, and production readiness practices.
  • Support modernization initiatives by transitioning legacy capabilities towards distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores.
  • Guide and collaborate with engineers in a team-oriented environment, establishing repeatable practices for effective and responsible AI-assisted development.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 7+ years of professional software engineering experience developing scalable, high-performance .NET, cloud-based, and web services applications that support high-volume transactions in highly available environments.
  • Demonstrated experience leading the design and implementation of highly scalable, resilient, and event-driven applications using .NET and event streaming platforms, with strong knowledge of distributed systems, stream processing, performance optimization, and cloud-native architectures.
  • Working experience with message queuing systems, event streaming platforms, log management tools, data interchange formats (JSON/XML), caching, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns.
  • Experience being a technical lead for a team and/or project.
  • 6+ years of experience building and deploying cloud-native applications using cloud providers, containerization, orchestration tools, microservices, and CI/CD practices.
  • Experience with cloud platforms and deployment environments such as platform-as-a-service, or leading cloud providers.
  • 2+ years of experience working with databases such as document databases, in-memory data stores, relational databases, or comparable relational and NoSQL platforms.
  • 2+ years prior experience in IT transformation and system modernization initiatives from legacy platforms to distributed .NET applications and modern data platforms.
  • 2+ years of hands-on experience with AI/ML implementation and production deployment or AI-assisted engineering practices.
  • Hands-on experience or practical exposure to leading Large Language Models or comparable enterprise AI platforms.
  • Demonstrated hands-on experience using Generative AI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.
  • Practical familiarity with leading Generative AI coding assistant tools in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation.
  • Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
  • Knowledge of Agile methodology and experience in an Agile working environment.
  • Experience with development and project management tool suites, including issue tracking and collaboration platforms.
  • Understands financial domain capabilities and operations, with preferred experience in the financial services industry.
  • Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
  • Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, and adjacent teams to drive outcomes.

Preferred Qualifications
  • Master's degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or a related degree, or equivalent practical experience.
  • Experience in Test Driven Development, Behavior Driven Development, QA automation, and a quality engineering mindset and behaviors.
  • Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation.
  • Experience with performance engineering, reliability testing, resiliency validation, and operational readiness for high-volume distributed platforms.
  • Exposure to AI-assisted SDLC transformation initiatives, internal developer productivity programs, or enterprise AI implementation patterns.
  • Experience mentoring engineers on .NET engineering practices, cloud-native implementation, distributed systems, and responsible AI-assisted software delivery.

About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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