Agile Engine 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, Type Script, 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 Postgre SQL .

- Recent experience with Type Script, 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 Saa S , 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 Fast API 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 Dev Ops, and enterprise identity patterns.

- Experience with payer or Medicaid integrations, eligibility, prior authorization, or EDI 837 claims.

- Experience with feature governance systems such as Launch Darkly or Post Hog.

WHAT YOU WILL DO

- Deliver production features across. NET, C#, React, Type Script, 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 securit

📌 Senior ai-driven full-stack engineer (México)
🏢 Agileengine
📍 México