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.
— Sarah J.
·
Marketing Manager
★★★★★
Verified
