Remote Embedded Ai Engineer (Typescript) For Enterprise Systems

Fullstack; Ciudad de Mendoza; Hybrid; ARS 136,310,000 - 272,620,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime with remote/office options

Job summary

AgileEngine in Mendoza, Argentina seeks an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. The role partners with distributed engineering teams and requires 4+ years in software engineering on public clouds, plus 2+ years in IaC and AI model development using RAG.

Your work includes Terraform-based IaC, Rego/Regula policies, and AI orchestration with vector databases. Fluency in English is required.

Qualifications

• 4+ years of software engineering experience developing apps and services on public clouds.
• 2+ years of IaC and cloud deployment pipelines.
• 2+ years developing agentic AI models with RAG and vector databases.
• Ability to collaborate with globally distributed, interdisciplinary teams.
• Upper-intermediate English level.

Responsibilities

• AI acceleration: build generative AI workflows using RAG, vector databases, and LLM APIs.
• Cloud security automation: drift detection and remediation support.
• Policy and IaC: generate Terraform modules and Rego policies for CI/CD pipelines.

Skills

Software engineering

Cloud infrastructure

Infrastructure as Code (IaC)

Agentic AI / RAG

English proficiency

Tools

Terraform

Rego

Regula

Open Policy Agent

LangChain

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.