Software Engineer

Advita Ortho•Gainesville, FL

10h

About The Position

The Software Engineer will leverage extensive complaint and quality data within the complaint management system to train, fine-tune, and deploy AI models that enhance complaint detection, classification, coding accuracy, and resolution recommendations. This individual will contribute to a lean, high-impact engineering team by applying foundational knowledge of machine learning, large language models (LLMs), and modern web development to real-world use cases. The role is hands-on and execution-focused, providing direct exposure to senior leadership and meaningful project ownership

Requirements

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
Familiarity with SQL and relational database concepts.

Nice To Haves

Knowledge of medical device industry regulations (FDA, ISO 13485) or quality management systems is a plus.

Responsibilities

AI/ML Model Development & Training
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.
System Integration & API Development
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.
Web Application Development
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.
Collaboration & Growth
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.