Lead Agentic Ai Engineer

Epam Systems; Ciudad de Mendoza; Hybrid; ARS 181,747,000 - 287,765,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. The role requires 4+ years in software engineering on public cloud platforms and 2+ years in IaC and deployment pipelines, plus experience with RAG and vector databases.

The candidate should have strong collaboration across distributed teams and an upper-intermediate English level. Flexible schedule with remote and office options is offered.

Qualifications

• 4+ years of software engineering experience with applications and services hosted on public cloud infrastructure.
• 2+ years of experience with cloud deployment pipelines and infrastructure as code (IaC).
• 2+ years of experience developing Agentic models using Retrieval‑Augmented Generation (RAG) and vector databases.
• Upper-intermediate English level.

Responsibilities

• AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines.
• Cloud Security Automation: develop AI‑enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
• Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

Skills

Public cloud experience

Agentic AI / LLM integration

Cloud deployment pipelines

English proficiency

Tools

Terraform

LangChain

LangGraph

Open Policy Agent (Rego)

Job description

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 an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.

Requirements:

• 4+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.
• 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC).
• 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval‑Augmented Generation (RAG) and vector databases.
• Proven capability to partner with globally distributed inter‑disciplinary engineering teams.
• Upper‑intermediate English level.

Nice to have

• Hands‑on experience with modern AI orchestration frameworks (LangChain, LangGraph).
• Hands‑on experience writing Rego policies (Open Policy Agent) or Regula test cases.
• Hands‑on experience with Terraform.
• Familiarity with cloud‑native security services in Amazon Web Services, Azure, and Google Cloud Platform.
• Familiarity with PagerDuty, Atlassian Suite, and Service Now.

Responsibilities

• AI Acceleration: implement generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of cloud configuration baselines.
• Cloud Security Automation: develop AI‑enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
• Policy & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

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.