Software Engineer Full Stack .NET / AI Developer
6 days ago
Bonita Springs
Job DescriptionSalary: About Optivate: Optivate is a leading provider of healthcare technology software solutions purpose-built for ophthalmologists and eye care specialists. The companys solutions include: • Practice management, • Patient engagement, • Image management, • RCM and billing services These tools are designed to: • Streamline clinical documentation workflows, • Improve daily practice efficiencies for eye care professionals About the Role: Were seeking an AI-native Software Engineer with hands-on experience delivering real-world AI-powered products. This role is ideal for a mid-level developer who: • Has contributed to 35 production AI projects, • Design and ship AI-driven features across our ophthalmology platform, • Work with third-party LLM integrations, • Develop custom ML models What Youll Do: • Develop and maintain backend services and APIs using .NET/C# (.NET Core, .NET 8+), • Build responsive, user-friendly interfaces using HTML/CSS, • Design AI-enabled workflows that integrate safely into clinical software, • Collaborate with product, clinical, and engineering teams, • Establish and participate in code review processes, • Work within an agile framework, contributing to:, • Sprint planning, • Daily standups, • Retrospectives, • Write clean, maintainable, testable code, • Troubleshoot distributed systems and AI pipelines, • Contribute to architectural decisions around AI infrastructure and model evaluation AI & Machine Learning Responsibilities: • Design and implement production-grade AI services, • Integrate third-party LLMs:, • OpenAI, • Anthropic, • Azure OpenAI, • Hugging Face, • Build and fine-tune ML models:, • NLP, • Structured data models, • Computer vision (where appropriate), • Enhance foundation models using:, • RAG, • Fine-tuning, • Embeddings, • Adapters, • Design evaluation frameworks to measure:, • Accuracy, • Reliability, • Hallucination rates, • Clinical relevance, • Implement retrieval pipelines using vector databases, • Develop prompt engineering strategies with testing and versioning, • Optimize model performance, latency, and cost, • Contribute to reinforcement learning or simulation experimentation (Gymnasium a plus), • Collaborate on model deployment, monitoring, and drift detection Required Qualifications: • 37 years of professional software development experience, • Hands-on contribution to 35 AI/ML production or near-production projects, • Experience integrating LLM APIs into real systems, • Experience building or fine-tuning ML models, • Experience working with structured and unstructured datasets, • Strong understanding of model evaluation and production tradeoffs, • Experience with cloud platforms (AWS, Azure, or GCP), • Solid foundation in:, • Data structures, • Algorithms, • APIs, • Distributed system design Technical Experience: Backend • PyTorch, • TensorFlow, • Embeddings, • Vector databases (Pinecone, FAISS, Weaviate), • Deploying AI services using containers, serverless, or managed ML services Team & Process Experience: Experience working in collaborative environments with exposure to: • Git version control and branching strategies, • Agile methodologies (Scrum/Kanban), • Task/story management tools, • Code reviews, • Architectural discussions, • Cross-functional collaboration Mindset & 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 Nice to Have: • 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, • Experience with Gymnasium or reinforcement learning, • Designing AI evaluation benchmarks, • Understanding OAuth and systems integration patterns, • Experience with RESTful API design, • Knowledge of SQL Server and Entity Framework What We Offer: • Opportunity to build real-world AI products in healthcare, • Ownership over meaningful AI initiatives, • Join a growing team at an exciting inflection point, • Collaborative environment where your architectural input matters, • Exposure to diverse AI approaches:, • LLM integration, • Custom ML, • Retrieval systems, • Domain-adapted models, • Professional development opportunities, • Work on challenging, mission-driven problems Our Ideal Candidate Youve shipped AI features that users rely on. You understand: • Model limitations, • Evaluation tradeoffs, • Curious, • Technically rigorous, • Thoughtful about AI application in healthcare