"Application Developer IIII"

Department

Education Innovation & Tech

Salary

Commensurate with Experience

Description

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.

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

Minimum Qualifications (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.

Additional Posting Information

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

Additional Duties

• 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

Preferred Skills

• Proficiency in Python and common ML libraries (TensorFlow, 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) concepts
• Basic understanding of CI/CD pipelines and automated testing for ML workflows
• Strong problem-solving and analytical thinking abilities
• Excellent written and verbal communication skills
• Eagerness to learn and adapt to new AI technologies and frameworks
• Collaborative mindset and ability to work effectively in interdisciplinary teams
• Attention to detail and commitment to producing high-quality, reliable solutions

How to Apply

Interested candidates should submit their resume, a short cover letter describing relevant experience, and links to any projects or code samples (e.g., GitHub or portfolio). The following documents are required: Cover letter delineating the manner in which your work experience applies to the posting. Resume Salary History Transcript Three work references. The hiring department expects you to name current or past supervisors. NOTE: We will maintain your confidentiality and notify you before contacting any of your references. References will be contacted only after the interviewing process has been completed. Incomplete applications will not be reviewed.