Senior Agentic AI Engineer ID92537

AgileEngine, LLC.

Sorocaba

Hybrid

BRL 761,000 - 1,142,000

Full time

5 hours ago
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Benefits offered by this job

Mentorship
Tech Talks & growth roadmaps
Flexible schedule (remote and office)
Educational and team activity budgets

Job summary

AgileEngine is seeking a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools. You will contribute to architecture, development, and production readiness across React, TypeScript, Python, and API services.

The role emphasizes structured outputs, MCP-based integrations, and RBAC with strong security practices, in a flexible remote/hybrid setting.

Qualifications

  • Bachelor's in CS/Software Eng or STEM.
  • 5+ years software development experience.
  • 5+ years with Python/JS/TS or comparable languages.
  • Strong React and API development skills.
  • Experience building AI-assisted apps or agentic workflows.
  • Experience with MCP, structured outputs, context management.
  • Auth/authz, RBAC, secure coding practices.
  • Full lifecycle experience from requirements to production.

Responsibilities

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

Skills

Python
JavaScript/TypeScript
React
API development
CI/CD
Secure coding
RBAC
English (Upper-Intermediate)
Architectural design

Education

Bachelor's in CS/Software Engineering or STEM

Tools

GitLab CI/CD

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 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.
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