Software Engineer, .Net/AI Developer

Optivate

Full-stack .NET engineer integrating AI features for healthcare software solutions at Optivate. Collaborating across teams to design and maintain responsive services and support tools.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud Platform.NET

About the role

Key responsibilities & impact

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/CSS
Use 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
Design and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical software
Troubleshoot and improve distributed systems
Establish and participate in code review processes
Work within an agile framework, contributing to: Sprint planning, Daily standups, Retrospectives
Write clean, maintainable, testable code, and establish and participate in code review
Collaborate across product, clinical, and engineering teams
Contribute to architectural decisions, including where and how AI fits into our systems

Requirements

What you’ll need

3–7 years of professional software development experience with strong full-stack delivery
Strong, current experience with .NET/C# (.NET Core and/or .NET 10)
Proficiency building responsive UIs with HTML/CSS
Demonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflows
Experience 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 design
Experience with at least one major cloud platform (AWS, Azure, or GCP)
Familiarity with model limitations, evaluation tradeoffs, and the realities of running AI in production

Benefits

Comp & perks

Professional development opportunities
Ownership over meaningful initiatives and a voice in architectural decisions
A core role building real software that eye care practices depend on every day
The chance to work AI-native — both shipping AI-powered features and using cutting-edge agentic development tooling as part of how we build
Collaborative team at an exciting inflection point