Senior Agentic AI Engineer ID92537
AgileEngine
- Location
- Onsite (São Paulo, São Paulo)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 weeks ago
About the role
AgileEngine is an Inc. 5000 software consultancy seeking a Senior Agentic AI Engineer to architect secure enterprise applications and build AI workflows that connect agents to enterprise data and tools. The role focuses on scalable solutions, AI governance, and mentoring within a people-first culture.
Skills
Python
JavaScript
TypeScript
React
API development
Application architecture
Automated testing
CI/CD
Agentic workflows
Tool-calling
MCP
Auth/Authz
RBAC
Secure coding
Data governance
AI evaluation
Perks
- Flexible schedule
- Remote work
- Education budget
- Fitness budget
- Team activity budgets
- Mentorship
- TechTalks
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.