> Markdown version of [/jobs/ext/1926332-net-ai-developer](https://www.wearedevelopers.com/jobs/ext/1926332-net-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # NET AI Developer - **Company:** THE JUDGE GROUP, INC. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $131,040.0 - $141,440.0 - **Contract:** Temporary to permanent - **Skills:** .NET Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Unit Testing, Behavior-Driven Development, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Databases, Continuous Integration, Data Stores, Distributed Systems, PostgreSQL, Enterprise Messaging Systems, MongoDB, NoSQL, Systems Development Life Cycle, Queueing Systems, Software Reliability Testing, Software Engineering, Data Streaming, Web Services, Transaction Processing (Computing), Aerospike, Google Cloud, Cloud Platform System, Test-Driven Development (TDD), Spring Cloud, GitHub Copilot, Large Language Models, Prompt Engineering, Generative AI, Event Driven Architecture, Kubernetes, Information Technology, Atlassian Tools, Apache Kafka, Splunk, Code Restructuring, Docker, Legacy Systems, Microservices - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/763e0c42-693d-4771-8891-9e9719376e8a ## About the Role Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience. 7 years of professional software engineering experience developing highly available, scalable .NET, cloud-based, and web service applications for high-volume transactions. 6 years of experience building and deploying cloud-native applications utilizing modern cloud platforms (e.g., Google Cloud Platform, AWS, or similar environments), Docker, Kubernetes, microservices, and CI/CD pipelines. 2 years of experience working with modern databases (e.g., MongoDB, PostgreSQL, Aerospike, or comparable relational and NoSQL platforms). 2 years of experience in system modernization initiatives, transitioning legacy platforms to distributed .NET applications and modern data architectures. 2 years of hands-on experience with AI/ML implementations, AI-assisted engineering practices, and Large Language Models (LLMs). Demonstrated technical leadership experience in designing event-driven architectures using streaming and messaging platforms (e.g., Kafka, enterprise message queues). 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 prompt engineering. Experience operating in an Agile environment and utilizing Agile project management tools. Preferred qualifications: Master's degree in Information Technology, Computer Science, Artificial Intelligence, Software Engineering, or a related field. Deep understanding of enterprise financial operations, transaction processing, and highly regulated domain capabilities. Experience with Test-Driven Development (TDD), Behavior-Driven Development (BDD), and enterprise QA automation. Strong background in performance engineering, reliability testing, observability patterns (e.g., Splunk), and the Twelve-Factor App methodology. Proficiency in generating comprehensive architecture diagrams, technical specifications, and production runbooks. Prior exposure to leading AI-assisted SDLC transformation initiatives and enterprise developer productivity programs. Excellent communication skills with a proven track record of mentoring engineers on .NET practices, distributed systems, and responsible AI software delivery. ## Description Architect & Build: Lead the design and implementation of highly scalable, resilient, and event-driven applications utilizing .NET, enterprise messaging platforms, and cloud-native architecture patterns. Modernize: Champion system modernization by transitioning legacy applications toward distributed .NET services, cloud-native platforms, and modern data stores to support reliable transaction processing. Leverage AI: Utilize Generative AI coding assistants to accelerate development workflows-including implementation, refactoring, unit testing, code reviews, automation, and troubleshooting-while maintaining strict ownership of code quality. Optimize Workflows: Implement agentic workflows, spec-driven development, custom instructions, and prompt engineering to enhance developer productivity and team execution. Drive Quality: Ensure engineering excellence through automated testing, rigorous code reviews, performance analysis, observability, and production readiness practices. Collaborate & Mentor: Partner closely with architects, product owners, and adjacent technology teams to translate business requirements into high-quality technical solutions. Guide and mentor engineers to establish repeatable practices for effective and responsible AI-assisted development. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)