Application Developer

Application Developer


Tampa, FL- onsite


6-12 month contract to hire- USC only


Onsite interview


Strong programming in C# or Python , expertise in machine learning frameworks (ML.NET, Scikit-Learn, TensorFlow, PyTorch, Keras) , experience with LLMs, RAG pipelines, and AI agents , proficiency in SQL (SQL Server/PostgreSQL) , and knowledge of secure coding, CJIS compliance, and data governance .


Applications Developer


Design, build, and support custom applications and data integrations to enhance agency operations, with a focus on functionality, performance, and secure handling of sensitive information.


Job Description


Duties & Responsibilities


Duties may vary based on assignment.

• Develop, train, and optimize machine learning models using frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras.
• Integrate artificial intelligence (AI) models into existing in-house applications and services running in secure on-prem environments.
• Experiment with large language models (LLMs) and agentic coding tools, evaluating their potential for secure, internal automation and analytics tasks.
• Perform data preprocessing, feature engineering, and model evaluation using structured and unstructured data from multiple internal systems.
• Collaborate with cross-functional teams to ensure all models and data workflows align with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) protection standards.
• Work closely with analysts, investigators, and Information Technology (IT) staff to identify opportunities where AI can provide operational value.
• Participate in code reviews, testing, and deployment activities within a collaborative team environment.
• Continuously learn and prototype emerging AI tools while maintaining strong data governance discipline.

• Perform other related duties as required.

Knowledge & Abilities

• Knowledge of machine learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras.
• Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks.
• Basic understanding of secure coding principles and CJIS data protection requirements.
• Working knowledge of office policies and procedures.
• Ability to work with structured and unstructured datasets from multiple sources such as databases, APIs, logs, and documents.
• Ability to analyze complex problems, test possible solutions, and apply practical, innovative approaches.
• Ability to prioritize and manage multiple tasks in a fast-paced environment.
• Ability to stay curious and continuously learn new AI tools and techniques while maintaining responsible data practices.

Skills

• Strong programming skills in C# or Python.
• Skill in writing optimized SQL queries, functions, and stored procedures for SQL Server and PostgreSQL.
• Skill in developing and evaluating machine learning models.
• Effective communication and interpersonal skills for interacting with users and technical staff.

Preferred Qualifications

• Familiarity with LangChain, Ollama, or other frameworks for running local LLMs and agentic AI systems.
• Experience with vector databases (e.g., Chroma, Qdrant, Weaviate) for semantic search.
• Experience building APIs or services to expose ML models to other internal systems.
• Experience working with data-centric applications in public sector or regulated environments.