{"schemaVersion":"jobsearcher.job.v1","id":"5abe9299ff637cae476bec38","url":"https://jobsearcher.com/jobs/5abe9299ff637cae476bec38","canonicalUrl":"https://jobsearcher.com/jobs/5abe9299ff637cae476bec38","title":"Software Engineer .Net/AI Developer","description":"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.\r\nApplicants must be local OR be willing to relocate to the Bonita Springs area within a reasonable time frame following their start date.\r\nPosition Summary\r\nWe'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.\r\n\"AI-native\" here means two things, and we care about both:\r\nYou 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.\r\nYou 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.\r\nThe 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.\r\nYou Will\r\nDesign and ship AI-driven features across our ophthalmology platform.\r\nWork with third-party LLM integrations.\r\nBuild domain-specific enhancements using clinical data.\r\nThis is not a research role. We are looking for someone who has built, integrated, evaluated, and deployed AI systems in production environments.\r\nWhat You'll Do:\r\nDesign, 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.\r\nUse 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.\r\nDesign and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical software.\r\nTroubleshoot and improve distributed systems.\r\nEstablish and participate in code review processes.\r\nWork within an agile framework, contributing to sprint planning, daily standups, and retrospectives.\r\nWrite clean, maintainable, testable code, and participate in code review.\r\nCollaborate across product, clinical, and engineering teams.\r\nContribute to architectural decisions, including where and how AI fits into our systems.\r\nDepending on the work in front of us, you may:\r\nIntegrate third-party LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production features.\r\nBuild retrieval pipelines using embeddings and vector databases (Pinecone, FAISS, Weaviate) and implement semantic search.\r\nDevelop prompt engineering strategies with testing and versioning.\r\nDesign evaluation approaches that measure accuracy, reliability, hallucination rates, and clinical relevance.\r\nCollaborate on deploying, monitoring, and maintaining AI services in production.\r\nOptimize AI feature performance, latency, and cost.\r\nRequired Qualifications\r\n3–7 years of professional software development experience with strong full-stack delivery.\r\nStrong, current experience with .NET/C# (.NET Core and/or .NET 10).\r\nProficiency building responsive UIs with HTML/CSS.\r\nDemonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflows.\r\nExperience integrating LLM APIs into real, shipped systems.\r\nSolid foundation in data structures, algorithms, API design, and distributed system design.\r\nExperience with at least one major cloud platform (AWS, Azure, or GCP).\r\nFamiliarity with model limitations, evaluation tradeoffs, and the realities of running AI in production.\r\nTeam & Process Experience\r\nExperience working in collaborative environments with exposure to Git version control and branching strategies.\r\nAgile methodologies (Scrum/Kanban).\r\nTask/story management tools.\r\nCode reviews.\r\nCross-functional collaboration.\r\nPragmatic builder who understands production constraints.\r\nComfortable with ambiguity in emerging AI spaces.\r\nStrong communicator, especially explaining AI tradeoffs.\r\nMotivated to apply AI in healthcare where safety and reliability matter.\r\nNice to Have\r\nExperience with Blazor, particularly Blazor Hybrid and .NET MAUI for building cross-platform applications on a shared .NET codebase.\r\nExperience building or fine-tuning ML models (NLP, structured data, computer vision).\r\nEnhancing foundation models with RAG, fine-tuning, embeddings, or adapters.\r\nComputer vision experience, especially medical imaging.\r\nExperience with clinical or regulated datasets; HIPAA familiarity.\r\nReinforcement learning or simulation experimentation (Gymnasium a plus).\r\nOAuth and systems integration patterns; RESTful API design.\r\nGit branching strategies and experience in Scrum/Kanban environments.\r\nWhat We Offer\r\nA core role building real software that eye care practices depend on every day.\r\nThe chance to work AI-native — both shipping AI-powered features and using cutting-edge agentic development tooling as part of how we build.\r\nOwnership over meaningful initiatives and a voice in architectural decisions.\r\nA collaborative team at an exciting inflection point.\r\nChallenging, mission-driven problems in healthcare.\r\nJ-18808-Ljbffr","company":"Optivate","rawCompany":"optivate","city":"Florida","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:56:08.430Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer .Net/AI Developer","description":"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.\r\nApplicants must be local OR be willing to relocate to the Bonita Springs area within a reasonable time frame following their start date.\r\nPosition Summary\r\nWe'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.\r\n\"AI-native\" here means two things, and we care about both:\r\nYou 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.\r\nYou 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.\r\nThe 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.\r\nYou Will\r\nDesign and ship AI-driven features across our ophthalmology platform.\r\nWork with third-party LLM integrations.\r\nBuild domain-specific enhancements using clinical data.\r\nThis is not a research role. We are looking for someone who has built, integrated, evaluated, and deployed AI systems in production environments.\r\nWhat You'll Do:\r\nDesign, 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.\r\nUse 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.\r\nDesign and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical software.\r\nTroubleshoot and improve distributed systems.\r\nEstablish and participate in code review processes.\r\nWork within an agile framework, contributing to sprint planning, daily standups, and retrospectives.\r\nWrite clean, maintainable, testable code, and participate in code review.\r\nCollaborate across product, clinical, and engineering teams.\r\nContribute to architectural decisions, including where and how AI fits into our systems.\r\nDepending on the work in front of us, you may:\r\nIntegrate third-party LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production features.\r\nBuild retrieval pipelines using embeddings and vector databases (Pinecone, FAISS, Weaviate) and implement semantic search.\r\nDevelop prompt engineering strategies with testing and versioning.\r\nDesign evaluation approaches that measure accuracy, reliability, hallucination rates, and clinical relevance.\r\nCollaborate on deploying, monitoring, and maintaining AI services in production.\r\nOptimize AI feature performance, latency, and cost.\r\nRequired Qualifications\r\n3–7 years of professional software development experience with strong full-stack delivery.\r\nStrong, current experience with .NET/C# (.NET Core and/or .NET 10).\r\nProficiency building responsive UIs with HTML/CSS.\r\nDemonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflows.\r\nExperience integrating LLM APIs into real, shipped systems.\r\nSolid foundation in data structures, algorithms, API design, and distributed system design.\r\nExperience with at least one major cloud platform (AWS, Azure, or GCP).\r\nFamiliarity with model limitations, evaluation tradeoffs, and the realities of running AI in production.\r\nTeam & Process Experience\r\nExperience working in collaborative environments with exposure to Git version control and branching strategies.\r\nAgile methodologies (Scrum/Kanban).\r\nTask/story management tools.\r\nCode reviews.\r\nCross-functional collaboration.\r\nPragmatic builder who understands production constraints.\r\nComfortable with ambiguity in emerging AI spaces.\r\nStrong communicator, especially explaining AI tradeoffs.\r\nMotivated to apply AI in healthcare where safety and reliability matter.\r\nNice to Have\r\nExperience with Blazor, particularly Blazor Hybrid and .NET MAUI for building cross-platform applications on a shared .NET codebase.\r\nExperience building or fine-tuning ML models (NLP, structured data, computer vision).\r\nEnhancing foundation models with RAG, fine-tuning, embeddings, or adapters.\r\nComputer vision experience, especially medical imaging.\r\nExperience with clinical or regulated datasets; HIPAA familiarity.\r\nReinforcement learning or simulation experimentation (Gymnasium a plus).\r\nOAuth and systems integration patterns; RESTful API design.\r\nGit branching strategies and experience in Scrum/Kanban environments.\r\nWhat We Offer\r\nA core role building real software that eye care practices depend on every day.\r\nThe chance to work AI-native — both shipping AI-powered features and using cutting-edge agentic development tooling as part of how we build.\r\nOwnership over meaningful initiatives and a voice in architectural decisions.\r\nA collaborative team at an exciting inflection point.\r\nChallenging, mission-driven problems in healthcare.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:56:08.430Z","dateModified":"2026-07-16T01:56:08.430Z","hiringOrganization":{"@type":"Organization","name":"Optivate","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Florida","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5abe9299ff637cae476bec38"},"url":"https://jobsearcher.com/jobs/5abe9299ff637cae476bec38"}}