Senior Agentic Ai Engineer Id92537

Agileengine

Sucre

Hybrid

COP 388,387,000 - 485,484,000

Full time

3 days ago
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Benefits offered by this job

Professional growth
USD-based pay with education, fitness,
Exciting projects
Flextime

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 architect and implement MCP-based integrations, authentication, RBAC, and robust monitoring while mentoring engineers and delivering production-grade software.

Qualifications

  • Bachelor's in CS/Software Engineering or STEM with equivalent.
  • 5+ years software development experience.
  • Strong React, API development, 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.

Responsibilities

  • 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.

Skills

React
API development
Architecture
Automated testing
CI/CD
AI-assisted apps
MCP integrations
RBAC
Auth security

Education

Bachelor's in CS/Software Engineering

Tools

Databricks
Unity Catalog
GitLab CI/CD
Policy-as-code
Infrastructure-as-code
Data Lake

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)
  • 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.

Senior Agentic AI Engineer ID92537 Manizales, CAL, co

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