Full Stack Java Developer Engineer Jobs in Naples, FL

Job Summary:
Optivate is a leading provider of healthcare technology software solutions focused on ophthalmologists and eye care specialists. They are hiring a full-stack .NET engineer who is AI-native to design and ship AI-driven features across their ophthalmology platform, integrating AI capabilities while ensuring production quality.
Responsibilities:
• Design and ship AI-driven features across our ophthalmology platform
• Work with third-party LLM integrations
• Develop custom ML models
• Build domain-specific enhancements using clinical data
• Design, build, and maintain full-stack features across our ophthalmology platform — backend services and APIs in .NET/C# (.NET Core, .NET 10) and responsive frontend interfaces in HTML/CSS
• Use AI-native and agentic development workflows (e.g., Cursor multi-agent pipelines for decomposition, architecture, implementation, QA, and review) to move quickly while keeping code clean and reliable
• Design and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical software
• Troubleshoot and improve distributed systems
• Establish and participate in code review processes
• Work within an agile framework, contributing to: + Sprint planning + Daily standups + Retrospectives
• Write clean, maintainable, testable code, and establish and participate in code review
• Collaborate across product, clinical, and engineering teams
• Contribute to architectural decisions, including where and how AI fits into our systems
• Work within an agile framework: sprint planning, daily standups, and retrospectives AI Responsibilities
• Integrate third-party LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production features
• Build retrieval pipelines using embeddings and vector databases (Pinecone, FAISS, Weaviate) and implement semantic search
• Develop prompt engineering strategies with testing and versioning
• Design evaluation approaches that measure accuracy, reliability, hallucination rates, and clinical relevance
• Collaborate on deploying, monitoring, and maintaining AI services in production
• Optimize AI feature performance, latency, and cost
Qualifications:
Required:
• 3–7 years of professional software development experience with strong full-stack delivery
• Strong, current experience with .NET/C# (.NET Core and/or .NET 10)
• Proficiency building responsive UIs with HTML/CSS
• Demonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflows
• Experience integrating LLM APIs into real, shipped systems (does not need to be the bulk of your career — but you've done it and understand the tradeoffs)
• Solid foundation in data structures, algorithms, API design, and distributed system design
• Experience with at least one major cloud platform (AWS, Azure, or GCP)
• Familiarity with model limitations, evaluation tradeoffs, and the realities of running AI in production
• Experience working in collaborative environments with exposure to Git version control and branching strategies
• Experience working in collaborative environments with exposure to Agile methodologies (Scrum/Kanban)
• Experience working in collaborative environments with exposure to task/story management tools
• Experience working in collaborative environments with exposure to code reviews
• Experience working in collaborative environments with exposure to architectural discussions
• Experience working in collaborative environments with exposure to cross-functional collaboration
• AI-native mindset (data, models, feedback loops, iteration)
• Pragmatic builder who understands production constraints
• Comfortable with ambiguity in emerging AI spaces
• Strong communicator, especially explaining AI tradeoffs
• Motivated to apply AI in healthcare where safety and reliability matter
Preferred:
• Experience with Blazor, particularly Blazor Hybrid and .NET MAUI for building cross-platform applications on a shared .NET codebase
• Experience building or fine-tuning ML models (NLP, structured data, computer vision)
• Enhancing foundation models with RAG, fine-tuning, embeddings, or adapters
• Computer vision experience, especially medical imaging
• Experience with clinical or regulated datasets; HIPAA familiarity
• MLOps experience: model versioning, experiment tracking, monitoring, CI/CD for ML
• Designing AI evaluation benchmarks
• Reinforcement learning or simulation experimentation (Gymnasium a plus)
• OAuth and systems integration patterns; RESTful API design
• Git branching strategies and experience in Scrum/Kanban environments
Company:
Optivate is a healthcare technology services company specifically designed for Eye Surgeons. Founded in 1998, the company is headquartered in Bonita Springs, USA, with a team of 51-200 employees. The company is currently Growth Stage.