Software Engineer

Software Engineer .Net/AI DeveloperAbout OptivateOptivate 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.Position SummaryWe're hiring a full-stack .NET engineer who is AI-native — someone who builds production software end to end and who works fluently with modern AI development tooling and agentic workflows."AI-native" here means two things, and we care about both:You build with AI. You use AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot) as a core part of how you work — including multi-agent workflows where separate agents handle decomposition, architecture, development, QA, and code review. You know how to drive these tools to ship faster without sacrificing quality.You build AI into products. You're comfortable integrating LLMs and ML capabilities into real applications, and you understand the production and safety constraints that come with doing that in healthcare.The bulk of this role is full-stack .NET product engineering. A meaningful and growing portion involves designing and shipping AI-powered features across our platform. This is hands-on building role, not a research role — we're looking for someone who has built, integrated, and shipped software that users depend on, and who reaches for AI tooling instinctively to do it well.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 dataThis is not a research role. We are looking for someone who has built, integrated, evaluated, and deployed AI systems in production environments.What You’ll Do: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/CSSUse 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 reliableDesign and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical softwareTroubleshoot and improve distributed systemsEstablish and participate in code review processesWork within an agile framework, contributing to:Sprint planningDaily standupsRetrospectivesWrite clean, maintainable, testable code, and establish and participate in code reviewCollaborate across product, clinical, and engineering teamsContribute to architectural decisions, including where and how AI fits into our systemsWork within an agile framework: sprint planning, daily standups, and retrospectives AI ResponsibilitiesDepending on the work in front of us, you may:Integrate third-party LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production featuresBuild retrieval pipelines using embeddings and vector databases (Pinecone, FAISS, Weaviate) and implement semantic searchDevelop prompt engineering strategies with testing and versioningDesign evaluation approaches that measure accuracy, reliability, hallucination rates, and clinical relevanceCollaborate on deploying, monitoring, and maintaining AI services in productionOptimize AI feature performance, latency, and costRequired Qualifications:5–8+ years of professional software development experience with strong full-stack deliveryStrong, current experience with .NET/C# (.NET Core and/or .NET 10)Proficiency building responsive UIs with HTML/CSSDemonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflowsExperience 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 designExperience with at least one major cloud platform (AWS, Azure, or GCP)Familiarity with model limitations, evaluation tradeoffs, and the realities of running AI in productionTeam & 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 collaborationMindset & 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 matterNice to Have:Experience with Blazor, particularly Blazor Hybrid and .NET MAUI for building cross-platform applications on a shared .NET codebaseExperience building or fine-tuning ML models (NLP, structured data, computer vision)Enhancing foundation models with RAG, fine-tuning, embeddings, or adaptersComputer vision experience, especially medical imagingExperience with clinical or regulated datasets; HIPAA familiarityMLOps experience: model versioning, experiment tracking, monitoring, CI/CD for MLDesigning AI evaluation benchmarksReinforcement learning or simulation experimentation (Gymnasium a plus)OAuth and systems integration patterns; RESTful API designGit branching strategies and experience in Scrum/Kanban environmentsWhat We Offer:A core role building real software that eye care practices depend on every dayThe chance to work AI-native — both shipping AI-powered features and using cutting-edge agentic development tooling as part of how we buildOwnership over meaningful initiatives and a voice in architectural decisionsA collaborative team at an exciting inflection pointProfessional development opportunitiesChallenging, mission-driven problems in healthcare