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Ai Coding Jobs in Austin, TX (NOW HIRING)

Aquent

.NET AI Developer

Austin, TX · On-site

$60.90 - $67.67/hr

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

Kake Group

Senior AI Product Designer

Austin, TX · Remote

Leverage AI coding tools to turn design decisions into functional, testable products rather than static deliverables * Run implementation solo on smaller projects; coordinate with engineering leads ...

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 ...

ForeFlight

Principal AI Engineer

Austin, TX · On-site +1

$208K - $255K/yr

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 ...

Jobtailor

AI Software Architect

Austin, TX · On-site

$180 - $240/hr

Regular use of AI coding agents with critical review practices and accountability for correctness, security, maintainability, and architectural alignment * Ability to communicate complex ...

New

Aalo Atomics

AI Platform Architect

Austin, TX · On-site

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 ...

Judge Group, Inc.

Senior Java AI Developer

Austin, TX · On-site

$70 - $75/hr

Experience using Generative AI coding assistants (e.g., GitHub Copilot, Claude Code) across SDLC workflows, including implementation, testing, and automation. Experience designing RESTful services ...

Judge Group, Inc.

Senior .NET AI Developer

Austin, TX · On-site

$63 - $68/hr

Hands-on experience utilizing Generative AI coding assistants (e.g., GitHub Copilot) across SDLC workflows and IDE/CLI environments. Working knowledge of agentic workflows, custom instructions, and ...

Dell, Inc.

Senior Principal AI Engineer

Austin, TX

$196K - $269K/yr

Steer and validate AI coding agents to improve engineering throughput and code quality * Develop testing, evaluation, and guardrail frameworks for AI-generated output * Optimize context management ...

Dell, Inc.

Senior Principal AI Engineer

Austin, TX · On-site

$196K - $269K/yr

Steer and validate AI coding agents to improve engineering throughput and code quality * Develop testing, evaluation, and guardrail frameworks for AI-generated output * Optimize context management ...

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All JobsAi Coding JobsAi Coding Jobs in Austin, TX

Ai Coding information

See Austin, TX salary details

$13

$32

$54

How much do ai coding jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai coding in Austin, TX is $32.73, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $39.57 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 popular job titles related to Ai Coding jobs in Austin, TX?

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

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

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

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

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

Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Austin, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $68,080 per year, or $32.7 per hour.

.NET AI Developer

Aquent

Austin, TX • On-site

$60.90 - $67.67/hr

Temporary

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

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.

Must-Have 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.

What Will Set You Apart
  • 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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