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About the role We are looking for a Full Stack Engineer to build production features across .NET, React, and Azure using an AI-native engineering workflow. The mandatory requirements are 4+ years of software engineering experience, .NET/C#, React/TypeScript, Azure, agentic AI tooling, MCP, and multi-tenant SaaS. Python/FastAPI, AI services, regulated industries, and Terraform are a plus. What you will do Deliver production features across .NET, C#, React, TypeScript, and Azure using an agentic first engineering workflow. Prioritize functional V1 delivery, assigned work, and UAT or demo readiness before optional optimization or tooling work. Turn incomplete or changing product direction into a practical delivery plan and keep work moving without repeated resets. Align early with stakeholder when requirements, priorities, or product references conflict. Use Empower's required AI Skill consistently and route proposed workflow improvements without displacing committed delivery. Direct AI agents through planning, implementation, testing, debugging, and validation. Review and verify generated work rigorously rather than accepting agent output at face value. Build and maintain backend services, APIs, and portal experiences across the platform. Preserve security, auditability, tenant isolation, encryption, and least privilege access for protected health information. Make blockers, decisions, delivery risks, and next outcomes visible to the team. Must haves 4+ years of experience working as a software engineer. Recent production experience with .NET 8 or 9, C#, ASP.NET Core Web API, Entity Framework Core, and PostgreSQL. Recent production experience with React and TypeScript in component based applications. Strong Azure experience, including production deployment and operational ownership. Proven use of Claude Code or equivalent agentic tools for meaningful end to end feature delivery, not only autocomplete or isolated prompting. Advanced experience in AI Tooling, AI harness development, Agent AI testing and benchmarking, Memory layer integration, and MCP development. Ability to translate a product objective into executable agent work, coordinate multiple agents when useful, and verify generated output through builds, tests, runtime checks, and product behavior. Ability to work within a client defined AI Skill and governance model while proposing bounded improvements through the agreed route. Senior product judgment, comfort with changing requirements, and the ability to deliver functional V1 outcomes at a high pace. Experience with multi tenant SaaS, service boundaries, automated testing, delivery pipelines, and production validation. Strong communication, with early escalation of blockers and concise alignment on priorities and tradeoffs. Reliable United States Eastern Time overlap for a full time engagement. Ability to demonstrate the agentic workflow in a live AI coding exercise and explain tool selection, context management, failure handling, verification, and limitations. Nice to haves Python and FastAPI production experience. Experience with AI service layers, RAG, vector stores, prompt evaluation, or document generation. Healthcare, HIPAA, financial services, or another regulated data environment. Azure Service Bus or another asynchronous and event driven messaging platform. Terraform, Azure Entra ID, Azure DevOps, and enterprise identity patterns. Experience with payer or Medicaid integrations, eligibility, prior authorization, or EDI 837 claims. Experience with feature governance systems such as LaunchDarkly or PostHog. Perks and benefits Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized Well-being & support: access local well-being programs and people-focused support tailored to your location Job Type: Full-time Work Location: Remote