Software Engineer

Department: Information Technology

Employment Type: Permanent - Full Time

Location: Gainesville, Florida, Gainesville, FL

Key Responsibilities

• Work with large volumes of complaint data to train and fine-tune LLM-based models for automated complaint detection, classification, and coding. 
• Develop and iterate on models that generate intelligent suggestions for complaint resolution, root cause analysis, and corrective/preventive actions (CAPA). 
• Prepare, clean, and structure training datasets from existing complaint records to optimize model performance. 
• Evaluate model accuracy, precision, and recall using appropriate metrics; continuously improve model quality through iterative training cycles. 
• Explore and implement retrieval-augmented generation (RAG) architectures and prompt engineering techniques to enhance model output relevance. 

• Develop and maintain RESTful APIs to serve model predictions and recommendations within existing workflows. 
• Collaborate with the team to embed AI capabilities into enterprise applications, ensuring seamless user experiences. 

• Contribute to front-end development using React and modern JavaScript/TypeScript frameworks. 
• Support back-end development with Node.js, building services that connect AI capabilities to user-facing applications. 
• Participate in code reviews, testing, and deployment processes following team standards. 

• Work closely with the Senior Director of Software Engineering, or designee, to align AI initiatives with organizational strategy. 
• Stay current with advancements in LLM architectures, fine-tuning methodologies, and AI tooling. 
• Document models, training processes, and integration patterns for knowledge sharing and regulatory compliance.

Skills Knowledge and Expertise

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field

• Hands-on experience (academic or personal projects) with Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. 
• Experience with cloud-based ML platforms (Azure ML, Google Vertex AI, or AWS SageMaker).
• Understanding of natural language processing (NLP) concepts including text classification, named entity recognition, and sentiment analysis.
• Exposure to vector databases (Pinecone, ChromaDB, Weaviate) and RAG pipeline architectures.
• Exposure to RESTful API design and integration patterns.
• Experience with Git version control and CI/CD workflows.

• Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.
• Solid understanding of LLM fundamentals including transformer architectures, tokenization, embeddings, attention mechanisms, and fine-tuning techniques.
• Familiarity with data preparation, feature engineering, and model evaluation methodologies.
• Working knowledge of React and Node.js for web application development.
• Strong problem-solving skills with a willingness to learn and adapt quickly in a fast-paced environment.
• Familiarity with fine-tuning approaches using models such as Google Gemini, OpenAI GPT, or similar foundation models
• Knowledge of medical device industry regulations (FDA, ISO 13485) or quality management systems is a plus.
• Familiarity with SQL and relational database concepts.