Senior Agentic AI Engineer ID92537

AgileEngine, LLC.; Monterrey; Sur place; MXN 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Mentorship

USD pay

Exciting projects

Flextime

Résumé du poste

AgileEngine, LLC. in Monterrey, Mexico, seeks a Senior Agentic AI Engineer to build secure enterprise apps and agentic workflows that connect AI agents to enterprise data and tools.

You will architect and develop secure applications, implement agentic MCP-based integrations, and ensure robust security, governance, and observability across teams.

Qualifications

• Bachelor's in CS/Software Engineering or related STEM field.
• 5+ years software development experience or equivalent.
• Proficiency in React, API development and architecture.
• Experience building AI-assisted apps or agentic workflows.
• Experience with MCP, structured outputs, context management.
• Experience with auth/authz, RBAC, and secure coding.

Responsabilités

• Architect and develop secure enterprise applications (React, TypeScript, Python, API services).
• Build agentic workflows and MCP-based integrations connecting AI apps to data/tools.
• Implement structured outputs, workflow state management, human approvals, and error recovery.
• Build authentication, authorization, RBAC, and audit logging.
• Implement AI evaluation, guardrails, tracing, and monitoring.
• Collaborate with domain experts and PMs to translate requirements into scalable solutions.
• Design reusable, configuration-driven components for cross-team use.
• Own production-quality code, tests, and documentation.
• Mentor other engineers; guide technical direction across teams.

Connaissances

React

API development

Application architecture

Automated testing

CI/CD

AI-assisted apps

agentic workflows

tool-calling solutions

RBAC

auth/authz

Formation

Bachelor's in CS/Software Engineering/related STEM

Master's or higher in STEM

Outils

Description du poste

Monterrey, Mexico | Posted on 10/06/2026

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 Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools.

MUST HAVES

• - Bachelor's in CS/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
• - 5+ years software development experience (or equivalent demonstrated skill)
• - Strong React, API development, application architecture, automated testing, CI/CD
• - Experience building AI-assisted apps, agentic workflows, or tool-calling solutions
• - Experience with MCP, structured outputs, context management, or comparable frameworks
• - Experience with auth/authz, RBAC, and secure coding practices

NICE TO HAVES

• - Databricks, Unity Catalog, Data Lake, or comparable
• - GitLab CI/CD or comparable
• - Policy-as-code, infrastructure-as-code, configuration-driven platforms
• - Experience building data marketplaces, governance platforms, or internal developer platforms
• - Familiarity with privacy/security/regulatory/AI governance controls
• - Experience in regulated or risk-sensitive environments.

WHAT YOU WILL DO

• - Architect and develop secure enterprise applications (React, TypeScript, Python, API services)
• - Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools
• - Implement structured outputs, workflow state management, human-approval steps, and error recovery
• - Build authentication, authorization, RBAC, and audit logging
• - Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)
• - Partner with domain experts and PMs to translate requirements into scalable solutions
• - Design reusable, configuration-driven components for cross-team use
• - Own production-quality code, tests, and documentation
• - Mentor other engineers; guide technical direction across teams

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.