About the Role

We are looking for a AI Native 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

- Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
- Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
- Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

📌 Software Engineer (México)
🏢 Agileengine
📍 México