The Role
Deliver production full-stack features across .NET, C#, React, TypeScript, and Azure using an agentic-first workflow. Direct AI agents through planning, implementation, testing, debugging, and validation while rigorously reviewing generated output. Own backend services, APIs, portal experiences, tenant isolation, security, auditability, and protected health information controls. Translate ambiguous requirements into practical delivery plans, prioritize functional releases, coordinate stakeholders, and independently complete tested features.
Summary Generated by Built In
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.
Skills Required
- 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 TypeScript and Azure
- End-to-end production delivery using coding agents with rigorous verification
- 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
- Advanced AI-native engineering capability, including agent selection, coding tools, MCP integrations, context strategies, and multi-agent workflows
- Ability to deliver production software primarily through agentic development while applying senior judgment to architecture, security, testing, and verification
- Ability to independently investigate unclear tickets, identify missing requirements, and own feature delivery through tested completion
- Ability to translate product objectives into executable agent work and verify output through builds, tests, runtime checks, and product behavior
- Senior product acumen, adaptability, and ability to balance timely delivery with appropriate technical investigation
- Experience with multi-tenant SaaS, service boundaries, automated testing, delivery pipelines, and production validation
- Strong communication and early escalation of blockers
- Reliable United States Eastern Time overlap for a full-time engagement
- Ability to demonstrate the agentic workflow in a live AI coding exercise
- Upper-intermediate English proficiency
- Python and FastAPI production experience
- Experience with AI service layers, RAG, vector stores, prompt evaluation, or document generation
- Experience in healthcare, HIPAA, financial services, or another regulated data environment
- Experience with Azure Service Bus or another asynchronous event-driven messaging platform
- Experience with 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 LaunchDarkly, PostHog, or similar feature governance systems
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
