Location: Austin, TX Salary: $63.00 USD Hourly - $68.00 USD Hourly Description: Our client is currently seeking a Senior .NET AI Developer
Location: On-site in Southlake, TX or Austin, TX
Duration: 6 months with possibility of extension
Minimum qualifications:
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.
About the job
As a Senior .NET AI Developer at a leading enterprise financial institution, you will spearhead AI-integrated workflows across the System Development Life Cycle (SDLC). You will operate at the cutting-edge intersection of .NET engineering, event-driven architecture, cloud-native platforms, and Generative AI-assisted delivery. Your mission is to architect and build intelligent, resilient business solutions tailored for complex, high-volume financial environments. Bringing a collaborative mindset and a bias for action, you will partner with cross-functional teams to drive outcomes and shape the future of AI-assisted engineering within the organization.
Responsibilities:
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.
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Contact:
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: cxjudgpa
- Position Id: 1145595
- Posted 2 hours ago
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