Senior Ai Engineer: Agentic Systems & Llms (Remote Latam)

Bluelight Consulting; Rosario; A distancia; ARS 182.310.000 - 273.465.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote and office options

Competitive USD pay

Mentorship and Tech Talks

Fortune 500 projects

Descripción de la vacante

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

The role focuses on RAG, vector databases, and LLM APIs, with collaboration across globally distributed teams and a strong emphasis on cloud security automation and policy-as-code.

Formación

• 4+ years building apps on public cloud infrastructure.
• 2+ years with IaC and cloud deployment pipelines.
• 2+ years developing agentic models with RAG and vector DBs.
• Ability to collaborate with globally distributed teams.
• Upper-intermediate English.

Responsabilidades

• AI Acceleration: build generative AI workflows with RAG, vector DBs, and LLM APIs to automate cloud baselines.
• Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and remediation acceleration.
• Policy & IaC: generate/validate Terraform modules and Rego policies for CI/CD pipelines.

Conocimientos

Software engineering

Agentic models

English (upper‑intermediate)

Public cloud

AI workflows

Herramientas

Terraform

Open Policy Agent (Rego)

Regula

LangChain

LangGraph

Descripción del empleo

Agentic AI Engineer at AgileEngine

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. The mandatory requirements are 4+ years of software engineering experience on public cloud infrastructure, 2+ years with cloud deployment pipelines and Infrastructure as Code, 2+ years developing agentic models using RAG and vector databases, and the ability to partner with globally distributed engineering teams.

Must Haves

• 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 Haves

• 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.

What you will do

• 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.

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 Retrieval‑Augmented Generation (RAG) and Vector databases. Proven capability to partner with globally distributed inter-disciplinary engineering teams.