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Assistant Ai Developer 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 ... Drive engineering quality through automated testing, rigorous code review discipline, performance ...

Judge Group, Inc.

Senior .NET AI Developer

Austin, TX · On-site

$63 - $68/hr

NET AI Developer Location : On-site in Southlake, TX or Austin, TX Duration : 6 months with ... Hands-on experience utilizing Generative AI coding assistants (e.g., GitHub Copilot) across SDLC ...

Judge Group, Inc.

Senior Java AI Developer

Austin, TX · On-site

$70 - $75/hr

Bachelor's degree in Computer Science, Software Engineering, a related technical field, or ... Experience using Generative AI coding assistants (e.g., GitHub Copilot, Claude Code) across SDLC ...

Aquent

Senior Java AI Developer

Austin, TX · On-site

$66.42 - $73.80/hr

AI-Enabled Engineering Expertise ... Demonstrated hands-on experience using Generative AI coding assistants across various SDLC ...

Infosys Limited

Python AWS AI Developer

Austin, TX · On-site

$90 - $140/hr

... Engineering|AI/ML Solution Architecture and Design Technical Skills 4 Overview The Infosys ... the knowledge base and assist other similar projects Your contribution to the team: * A ...

New

Wipro Limited

AI Engineer

Austin, TX · On-site

$60K - $135K/yr

As a Senior AI Developer, this role will be a leader in AI focused workflows across the System ... Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to ...

Mindlance

Senior Software Engineer/ AI

Austin, TX · On-site

$121K - $160K/yr

They are seeking a Senior AI Developer who will lead AI-focused workflows across the System ... Required : • Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used ...

ServiceNow

Solution Architect - AI & Data

Austin, TX · On-site +1

$62.50 - $82.25/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI ...

ServiceNow

Solution Architect - AI & Data

Austin, TX · On-site

$62.50 - $82.25/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI ...

Deloitte

AI Engineer Consultant

Austin, TX · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Expedia

Senior AI Engineer

Austin, TX · On-site

$121K - $160K/yr

Senior AI Engineer Introduction to the Team Expedia Group B2B empowers partners to deliver ... Experience building enterprise AI copilots, assistants, or agent-based automation solutions

Hireblazer

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113K - $136K/yr

Provide guidance on AI best practices and assist in troubleshooting. Support knowledge sharing and ... Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines Computer Vision: Production ...

Expedia, Inc.

Senior AI Engineer

Austin, TX · On-site

$184.50 - $258/hr

Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business ... Experience building enterprise AI copilots, assistants, or agent-based automation solutions

SNC-Lavalin

AI Solutions Software Developer

Austin, TX · On-site

... AI capabilities. Under direction, works collaboratively with industry experts, software developers ... * Assist sales leads and project managers to estimate level of effort. About you * B.S. or B.A. in ...

Zello Inc

Applied AI Engineer

Austin, TX · On-site

... assistants) * Built evaluation harnesses for deployed agents with automated quality scoring and ... A DevOps or infrastructure role. You'll deploy your own agents, but you won't be managing servers ...

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As of Aug 21, 2026, the average hourly pay for assistant ai developer in Austin, TX is $24.52, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $26.68 per hour, depending on experience, location, and employer.

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.NET AI Developer

Aquent

Austin, TX • On-site

$60.90 - $67.67/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 17 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.

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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