Senior Agentic AI Engineer ID92537
AgileEngine
- Location
- Onsite (Monterrey, Nuevo León)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 weeks ago
About the role
AgileEngine is an award-winning software consultancy partnering with Fortune 500 brands and startups to build scalable, secure applications. This role involves architecting enterprise solutions and developing agentic AI workflows that connect intelligent agents to critical business data and tools.
Skills
Python
JavaScript
TypeScript
React
API development
Application architecture
Automated testing
CI/CD
Agentic workflows
MCP
Structured outputs
Context management
RBAC
Secure coding
Data governance
AI evaluation
Perks
- Flexible schedule
- Education budget
- Fitness budget
- Team activity budgets
- Mentorship
- TechTalks
- Remote work
Full job details
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 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)
- 5+ years with Python, JavaScript/TypeScript, or comparable languages
- 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
- Full lifecycle experience: requirements → architecture → deployment → production support
- Upper-intermediate English level.
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.