Application Developer IV; On-Site

Department
:
Education Innovation & Tech

Salary
:
Commensurate with Experience

Analyzes, develops and modifies complex application programs utilizing non-core technologies; manages application projects as assigned. May provide support to enterprise systems. Pursuant to the State of Texas Executive Order No. GA-48, this position researches, works on, or has access to critical infrastructure and requires the ability to maintain the security or integrity of the University infrastructure. This position requires personnel be routinely reviewed to determine whether or not criminal history or continuous connections for the government or political apparatus of a foreign adversary might prevent the employee from being able to maintain the security or integrity of the infrastructure.

• Designs, codes, tests, debugs, modifies and troubleshoots non-core technology application programs and ad-hoc programs.
• Analyzes complex application processes and integrated computer systems and their underlying data structures; identifies and resolves problems.
• Defines, analyzes and documents business processes, practices and requirements.
• Guides and assists users in testing business processes; defines, conducts and monitors system test procedures.
• Manages projects involving two or more programmers; provides technical assistance and training to junior-level staff.
• Documents tables, data structures, run streams, and programs according to generally accepted practices.
• Develops technical documents pertaining to system design and programming requirements; develops user manuals.
• Assists with the development and enforcement of shop standards, policies and procedures.
• Learns new technologies and techniques.
• Performs other job-related duties as assigned.

MQ: "Requires a thorough understanding of both theoretical and practical aspects of an analytical, technical or professional discipline; or the basic knowledge of more than one professional discipline. Knowledge of the discipline is normally obtained through a formal, directly job-related 4 year degree from a college or university or an equivalent in-depth specialized training program that is directly related to the type of work being performed.

Requires a minimum of five (5) years of directly job-related experience."

• Department is willing to accept education in lieu of experience.
• Department is willing to accept experience in lieu of education.

• Develop, train, and fine-tune machine learning and generative AI models for various use cases
• Build and maintain APIs and applications that integrate AI models into production systems
• Prepare, clean, and process datasets for training and evaluation
• Evaluate model performance, conduct experiments, and tune hyperparameters for optimal outcomes
• Implement deployment workflows and participate in MLOps processes such as model versioning, monitoring, and retraining
• Collaborate with cross-functional teams to translate business requirements into AI solutions
• Research and stay current with emerging AI frameworks, tools, and best practices, including model coordination protocols and LLM orchestration frameworks

• Proficiency in Python and common ML libraries (Tensor Flow, PyTorch, scikit-learn)
• Familiarity with large language models (LLMs), embeddings, and fine-tuning techniques
• Understanding of data preprocessing, feature engineering, and model evaluation methodologies
• Experience with version control (Git) and collaborative software development workflows
• Awareness of deployment and lifecycle management concepts, including MLOps and containerization (Docker/Kubernetes)
• Working knowledge of at least one cloud platform (AWS, GCP, or Azure) and related AI/ML services
• Hands‑on experience deploying AI models in production environments or integrating with APIs
• Familiarity with vector databases and retrieval‑augmented generation (RAG) architectures
• Understanding of responsible AI practices, model fairness, and data governance
• Experience developing microservices or full‑stack applications powered by AI models
• Exposure to model control protocols, orchestration tools, or MCP (Model Context Protocol)…