Chief Agentic Ai Engineer

Epam Systems; Rosario; Hybrid; ARS 151,455,000 - 227,183,000; Full time

Benefits offered by this job

Professional growth

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. The role requires 5+ years of software development experience and strong skills in React, API development, and secure coding practices.

The candidate will implement MCP-based integrations, structured outputs, and RBAC-enabled architectures, while mentoring peers and shaping technical direction. Flexible, remote/office options apply.

Qualifications

• 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.

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

Application architecture

Automated testing

CI/CD

AI-assisted apps

Agentic workflows

Tool-calling solutions

MCP

Structured outputs

Context management

RBAC security

Education

Bachelor's degree in CS/Software Engineering/related STEM

Tools

Databricks

Unity Catalog

GitLab CI/CD

Job description

Senior Agentic AI Engineer

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.