Software Engineer

About the Role

Key Responsibilities

• Develop, maintain, and support users of current AI tools and services offered by AI Studio.
• Design, build, and maintain scalable software systems that power AI tools and services across the university.
• Collaborate with faculty, staff, and students to integrate AI technologies into academic and operational environments.
• Develop secure APIs, SDKs, MCPs, and infrastructure that make AI tools accessible and easy to use across disciplines and applications.
• Create technical documentation, training resources, and open-source codebases to support AI literacy and responsible AI adoption.
• Support campus AI adoption by designing and implementing internal software tools, platforms, and APIs.
• Develop scalable infrastructure and automation pipelines for AI experimentation, deployment, and monitoring.
• Build systems that prioritize security and usability for effective AI integration by faculty, researchers, and staff.
• Build and maintain feedback collection pipelines, analytics dashboards, and monitoring tools to inform iterative AI development.
• Collaborate with stakeholders to transform user feedback into engineering requirements.
• Conduct usability studies and performance benchmarks to improve user experience and AI system efficiency.
• Contribute to cross-functional initiatives supporting AI security, ethics, and governance.
• Participate in code reviews, sprint planning, and collaborative projects within Enterprise Technology.
• Stay updated on AI engineering concepts, best practices, and service offerings.
• Lead discussions and design content to promote AI campus literacy.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field, or equivalent work experience.
• At least five years of experience in software development, DevOps, or AI/ML engineering within higher education, research computing, or technology organizations.
• Proficiency in Python, Django Rest Framework, FastAPI, JavaScript, TypeScript, React, Next, and Node.js.
• Strong understanding of AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, and responsible AI principles.
• Experience working in Linux/Unix environments with Git version control.
• Hands-on experience with containerization and orchestration tools like Docker and Kubernetes (preferably Amazon EKS or Azure Kubernetes Service).
• Familiarity with cloud platforms such as AWS, Azure, and their AI/ML services (e.g., Bedrock, SageMaker, Azure AI Foundry).
• Strong communication skills to explain technical concepts to non-technical stakeholders.
• Ability to collaborate effectively with campus communities including faculty, staff, and students.

Nice to Have

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Hands-on familiarity with AI development platforms such as Azure AI Foundry, AWS Bedrock, and Google Vertex.
• Knowledge of Agentic systems and Model Context Protocol.
• Experience designing user-centered, accessible AI systems.
• History of developing and deploying full-stack web applications with React, Next, Python, FastAPI, Django Rest Framework, Docker, Kubernetes, Terraform, Git, and cloud-native services.
• Experience with CI/CD pipelines using Github Actions or similar tools.
• Knowledge of human-in-the-loop systems, AI explainability, or participatory AI design.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience
• Minimum of five years of relevant experience in software development or AI/ML engineering

Benefits & Perks

• Competitive health benefits (employee premiums covered at 100%, family premiums at 50%)
• Vision, Dental, Life, and Disability insurance options
• Paid vacation, sick leave, and holidays
• Teachers Retirement System of Texas (TRS) retirement plan
• Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and Deferred Compensation 457(b)
• Flexible spending account options for medical and childcare expenses
• Training and conference opportunities
• Tuition assistance
• Athletic ticket discounts
• Access to UT Austin's libraries and museums
• Free rides on UT Shuttle and Capital metro buses with staff ID