About the Role
Note: The job is a remote job and is open to candidates in USA. Optivate is a leading provider of healthcare technology software solutions for ophthalmologists and eye care specialists. They are seeking a full-stack .NET engineer who is AI-native to design and ship AI-driven features and integrate AI capabilities into their ophthalmology platform.
Responsibilities
Design and ship AI-driven features across our ophthalmology platformWork with third-party LLM integrationsDevelop custom ML modelsBuild domain-specific enhancements using clinical dataDesign, 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 planning, Daily standups, RetrospectivesWrite 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 retrospectivesIntegrate 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 cost
Skills
3–7 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 productionExperience working in collaborative environments with exposure to Git version control and branching strategiesExperience working in collaborative environments with exposure to Agile methodologies (Scrum/Kanban)Experience working in collaborative environments with exposure to task/story management toolsExperience working in collaborative environments with exposure to code reviewsExperience working in collaborative environments with exposure to architectural discussionsExperience working in collaborative environments with exposure to cross-functional collaborationAI-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 matterExperience 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 environments
Benefits
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
Company Overview
Optivate is a healthcare technology services company specifically designed for