Senior Full Stack Engineer ID86905

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Full Stack Engineer to deliver production software across .NET, TypeScript, and Azure using an agentic-first engineering workflow. 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 experience with TypeScript, Azure, and real end-to-end delivery with coding agents and rigorous verification . Prompting alone is not enough. - 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 AI-native engineering capability, including strong judgment about when and how to use AI agents, coding tools, skills, harnesses, MCP integrations, memory/context strategies, and multi-agent workflows. Must be able to select the right approach for the problem, recognize when an agent is failing or over-engineering, and intervene or change strategies appropriately. - Demonstrated ability to deliver substantial production software primarily through agentic development rather than traditional manual code authoring, while applying senior engineering judgment to architecture, security, testing, verification, and product behavior. - Ability to independently investigate unclear tickets, identify missing requirements and product edge cases, ask focused questions, and own feature delivery through tested, working completion without step-by-step direction. - 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. - Demonstrated senior product acumen, adaptability to evolving requirements, commitment to functional V1 releases without over-engineering, and sound judgment on balancing self-directed technical investigation with timely stakeholder alignment. - 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. - Upper-intermediate English level. 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. 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 the required AI Skill consistently, and route proposed workflow improvements without displacing committed delivery. - Bring findings, focused questions, and proposed options—not just report insufficient information. - 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. - Require investigating ambiguity, validating assumptions with AI, proposing a practical plan, and owning implementation through tested completion. PERKS AND BENEFITS - Professional growth : Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation : USD-based pay with education, fitness, and team activity budgets. - Exciting projects : Modern solutions with Fortune 500 and top product companies. - Flextime : Flexible schedule with remote and office options.