Software Engineer .Net/AI Developer in Bonita Springs, Florida at Optivate

About Optivate

Optivate is a leading provider of healthcare technology software solutions purpose-built for ophthalmologists and eye care specialists. The company's solutions, which include EMR, practice management, patient engagement, image management, and RCM and billing services are designed to streamline clinical documentation workflows and improve daily practice efficiencies for eye care professionals.

**Applicants must be local OR be willing to relocate to the Bonita Springs area within a reasonable time frame following their start date.

Position Summary

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 3–5 production AI projectsUnderstands how to move AI systems from prototype to secure, scalable healthcare applications

You will:

Design and ship AI-driven features across our ophthalmology platformWork with third-party LLM integrationsDevelop custom ML modelsBuild domain-specific enhancements using clinical data

This is not a research-only role. We are looking for someone who has built, integrated, evaluated, and deployed AI systems in production environments.

What You’ll Do:

Develop and maintain backend services and APIs using .NET/C# (.NET Core, .NET 8+)Build responsive, user-friendly interfaces using HTML/CSSDesign AI-enabled workflows that integrate safely into clinical softwareCollaborate with product, clinical, and engineering teamsEstablish and participate in code review processesWork within an agile framework, contributing to:Sprint planningDaily standupsRetrospectivesWrite clean, maintainable, testable codeTroubleshoot distributed systems and AI pipelinesContribute to architectural decisions around AI infrastructure and model evaluation

AI & Machine Learning Responsibilities:

Design and implement production-grade AI servicesIntegrate third-party LLMs:OpenAIAnthropicAzure OpenAIHugging FaceBuild and fine-tune ML models:NLPStructured data modelsComputer vision (where appropriate)Enhance foundation models using:RAGFine-tuningEmbeddingsAdaptersDesign evaluation frameworks to measure:AccuracyReliabilityHallucination ratesClinical relevanceImplement retrieval pipelines using vector databasesDevelop prompt engineering strategies with testing and versioningOptimize model performance, latency, and costContribute to reinforcement learning or simulation experimentation (Gymnasium a plus)Collaborate on model deployment, monitoring, and drift detection

Required Qualifications:

3–7 years of professional software development experienceHands-on contribution to 3–5 AI/ML production or near-production projectsExperience integrating LLM APIs into real systemsExperience building or fine-tuning ML modelsExperience working with structured and unstructured datasetsStrong understanding of model evaluation and production tradeoffsExperience with cloud platforms (AWS, Azure, or GCP)Solid foundation in:Data structuresAlgorithmsAPIsDistributed system design

Technical Experience:

Backend

Strong experience with .NET/C# (.NET Core and/or .NET 8+)

Frontend

Proficiency in HTML/CSS

AI/ML

PyTorchTensorFlowScikit-learn (or similar frameworks)

Data

EmbeddingsVector databases (Pinecone, FAISS, Weaviate)Semantic search

Cloud & DevOps

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 strategiesAgile methodologies (Scrum/Kanban)Task/story management toolsCode reviewsArchitectural discussionsCross-functional collaboration

Mindset & Collaboration:

AI-native mindset (data, models, feedback loops, iteration)Pragmatic builder who understands production constraintsComfortable with ambiguity in emerging AI spacesStrong communicator, especially explaining AI tradeoffsMotivated 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 versioningExperiment trackingMonitoringCI/CD for MLExperience with Gymnasium or reinforcement learningDesigning AI evaluation benchmarksUnderstanding OAuth and systems integration patternsExperience with RESTful API designKnowledge of SQL Server and Entity Framework

What We Offer:

Opportunity to build real-world AI products in healthcareOwnership over meaningful AI initiativesJoin a growing team at an exciting inflection pointCollaborative environment where your architectural input mattersExposure to diverse AI approaches:LLM integrationCustom MLRetrieval systemsDomain-adapted modelsProfessional development opportunitiesWork on challenging, mission-driven problems

Our Ideal Candidate

You’ve shipped AI features that users rely on.

You understand:

Model limitationsEvaluation tradeoffsProduction constraints

You are:

CuriousTechnically rigorousThoughtful about AI application in healthcare