REMOTE : .Net Developer with AI Development in Austin, TX
Sachin Sharma
Hi,
Kindly find mentioned JD.
Role: .Net Developer with AI Development
Location: Austin, TX (REMOTE)
Duration: 12+ Month
Accepting all visas but USC or GC highly preferred
Need local to Texas
Please include contact details, including LinkedIn profiles when submitting resumes.
JOB DESCRIPTION:
The Candidate(s) will provide advanced technical leadership and hands-on development expertise to support the agency’s Mainframe Transformation initiative, including modernization of legacy applications, implementation of AI-assisted software engineering practices, and acceleration of application development, analysis, testing, and documentation activities.
The Candidate(s) will collaborate with agency leadership, enterprise architects, application development teams, business analysts, quality assurance personnel, and infrastructure staff to design and implement secure, scalable, and maintainable AI-enabled development solutions.
The Candidate(s) will assist the agency in evaluating and implementing practical AI capabilities to improve software development productivity, code quality, knowledge transfer, modernization efforts, and operational efficiency while maintaining compliance with State of Texas security and data governance requirements.
The Candidate(s) shall:
- Serve as a technical lead and subject matter expert for AI-assisted software engineering and modernization initiatives.
- Assist in defining and implementing AI development standards, governance, and best practices for agency use.
- Support modernization efforts involving migration of legacy mainframe applications and business processes to modern .NET and cloud-compatible architectures.
- Evaluate, prototype, and implement AI-assisted development tools and workflows, including but not limited to code generation, documentation generation, automated testing, code analysis, and developer productivity solutions.
- Design and develop secure AI-enabled solutions that comply with agency cybersecurity, privacy, and data governance requirements.
- Assist development teams in integrating AI capabilities into agency business applications where appropriate.
- Work closely with enterprise architecture and security teams to ensure alignment with approved standards and governance.
- Develop and maintain technical documentation, architectural diagrams, implementation standards, and operational procedures.
- Provide mentoring and knowledge transfer to agency staff regarding AI-assisted development practices and modern software engineering approaches.
- Participate in technical planning, backlog refinement, sprint activities, and solution reviews.
- Assist with evaluation of AI/LLM platforms, APIs, vector databases, orchestration frameworks, and related tooling.
- Support prompt engineering, retrieval-augmented generation (RAG), AI workflow orchestration, and model evaluation activities where applicable.
- Assist with establishment of guardrails for responsible AI usage, including validation, traceability, explainability, and security considerations.
- Perform hands-on development activities as required.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: | ||
Years | Required/ Preferred | Experience |
8 | Required | Experience in enterprise application development and software engineering |
5 | Required | Experience leading software development teams or technical modernization initiatives |
5 | Required | Hands-on experience with .NET application development and modern software architecture |
5 | Required | Experience with relational databases and data integration concepts |
4 | Preferred | Experience with cloud platforms, APIs, microservices, or distributed application architectures |
4 | Required | Experience implementing secure software development practices and application security principles |
3 | Required | Experience with AI-assisted software development, machine learning integration, or large language model (LLM) technologies |
3 | Required | Experience evaluating or implementing AI development tools, frameworks, or platforms |
3 | Required | Experience with Agile software development methodologies |
2 | Required | Experience with prompt engineering, AI workflow orchestration, or retrieval-augmented generation (RAG) concepts |
2 | Preferred | Experience supporting legacy modernization or mainframe transformation initiatives |
2 | Preferred | Experience with DevOps pipelines, CI/CD automation, or infrastructure-as-code practices |
2 | Preferred | Experience with vector databases, semantic search, embeddings, or AI knowledge management concepts |
2 | Preferred | Experience with Azure OpenAI, OpenAI APIs, AWS AI services, Anthropic, Google Vertex AI, or equivalent AI platforms |
2 | Preferred | Experience with GitHub Copilot, Cursor, Windsurf, or other AI-assisted developer productivity tools |
2 | Preferred | Experience implementing automated testing frameworks and AI-assisted QA approaches |
1 | Preferred | Experience with public sector, regulatory, or highly governed enterprise environments |
1 | Preferred | Experience developing AI governance, responsible AI, or model evaluation processes |
V. OTHER SPECIAL REQUIREMENTS
Candidates should demonstrate knowledge or experience in several of the following areas:
- AI-assisted software engineering
- Large Language Models (LLMs)
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- AI governance and responsible AI
- AI model evaluation and validation
- .NET / C# application development
- REST APIs and microservices
- SQL Server or enterprise relational databases
- Enterprise architecture principles
- Cloud-native application design
- DevOps and CI/CD pipelines
- Automated testing frameworks
- Software modernization strategies
- Secure coding practices
- Data integration and ETL concepts
- Git-based source control and collaborative development
- Agile/Scrum delivery methodologies
- Technical mentoring and knowledge transfer
VI. ADDITIONAL TERMS AND CONDITIONS
RRC reserves the right to negotiate lower rates from the submitted rates based on the specific requirement and required candidate experience, in accordance with Texas Government Code 2054.
Selected candidates are required to access the RRC technical environment via GoToMyPC (or similar) and must have a device capable of handling this connection, including a headset as needed. Alternately, the RRC may provide a desktop or laptop device for connection to the RRC network in certain situations. The laptop must be returned to the RRC Help Desk upon candidate resignation or termination or the end of the purchase order/contract.