University of Houston · 1 month ago
Application Developer IV (On-Site)
Houston, TX
Full-time
Onsite
Senior Level
5+ years expUniversity of Houston is seeking an Application Developer IV to analyze, develop, and modify complex application programs utilizing non-core technologies. The role involves managing application projects, supporting enterprise systems, and guiding junior-level staff in technical tasks.
E-LearningEducationUniversities
Responsibilities
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
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
Qualification
Required
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
Preferred
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
Company
University of Houston
The doctoral degree-granting and largest university of the University of Houston system.
5001-10000 employees
H1B Sponsorship
University of Houston has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (107)
2024 (76)
2023 (80)
2022 (42)
Funding
Current Stage
Late StageTotal Funding
$9.3MKey Investors
National Institute for Innovation in Manufacturing BiopharmaceuticalsUS Department of EnergyCancer Prevention and Research Institute of Texas
2024-04-09Grant
2023-10-05Grant· $2M
2018-09-19Grant· $4M
Leadership Team
Arthur Conklin
Professor Emeritus
Brené Brown
Huffington Endowed Chair + Research Professor
Recent News
2025-12-04
2025-10-25
Company data provided by crunchbase