Senior Full Stack Engineer ID86905

AgileEngine, LLC.

Monterrey

Hybrid

MXN 2,257,000 - 3,385,000

Full time

3 hours ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay
Exciting projects
Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Full Stack Engineer to deliver production software across .NET, TypeScript, and Azure using an agentic-first engineering workflow.

The role demands strong Azure, C#, and TypeScript expertise with end-to-end delivery and rigorous verification in a multi-tenant SaaS environment. You will lead architecture decisions, validate output with comprehensive tests, and ensure secure, scalable solutions for Fortune 500 and top product companies.

Qualifications

  • 4+ years of experience as a software engineer.
  • Recent production experience with .NET 8 or 9, C#, ASP.NET Core Web API, EF Core, PostgreSQL.
  • Recent experience with TypeScript, Azure, and end-to-end delivery with AI agents.
  • Strong Azure experience including production deployment and operational ownership.
  • Proven use of Claude Code or equivalent agentic tools for end-to-end feature delivery.
  • Ability to translate product objectives into executable agent work and verify output.

Responsibilities

  • Deliver production features across .NET, C#, React, TypeScript, and Azure using an agentic-first workflow.
  • Prioritize V1 delivery, assigned work, and UAT readiness before optimization.
  • Turn changing product direction into a practical delivery plan.
  • Align with stakeholders when requirements conflict.
  • Direct AI agents through planning, implementation, testing, and validation.
  • Review and verify generated work rigorously, not taking output at face value.
  • Build and maintain backend services, APIs, and portal experiences.
  • Ensure security, tenant isolation, encryption, and least privilege for PHI.

Skills

Software engineering
.NET / C# / ASP.NET Core
TypeScript
Azure
Agentic tooling
Multi-tenant SaaS
English (Upper-Intermediate)
US Eastern Time overlap

Tools

Claude Code/agent tools
PostgreSQL
Entity Framework Core
React
ASP.NET Core Web API

Job description

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.
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