Remote Agentic AI Engineer: Autonomous Cloud Workflows

Comcap Holdings Llc; Buenos Aires; Remote; ARS 181,747,000 - 242,329,000; Full time

Benefits offered by this job

Work from anywhere

Earn in USD

Paid time off

International certifications

Worldwide coworking access

English language growth

Job summary

Pearster is seeking an AI Engineer to design, build, and deploy AI-powered solutions in a 100% remote role. You will work with Generative AI, LLMs, and AI agents, integrating APIs and backend services to deliver production-ready solutions that solve real business problems.

You will collaborate with Engineering, Product, and business stakeholders, leverage RAG, embeddings, and vector databases, and stay current with AI frameworks like LangChain and Hugging Face.

Qualifications

• 4+ years of software engineering experience on public cloud infrastructure.
• 2+ years of experience with cloud infrastructure deployment pipelines and Infrastructure as Code (IaC).
• 2+ years developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.
• Ability to partner with globally distributed engineering teams.

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 & IaC: generate and validate compliant Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.

Skills

Python

Generative AI

LLMs

API integration

Cloud platforms

English communication

Tools

LangChain

LangGraph

Hugging Face

OpenAI

Anthropic

Terraform

Regula

Job description

Pearster is seeking an AI Engineer to design, build, and deploy AI-powered solutions in a 100% remote role. You will work with Generative AI, LLMs, and AI agents, integrating APIs and backend services to deliver production-ready solutions that solve real business problems.

You will collaborate with Engineering, Product, and business stakeholders, leverage RAG, embeddings, and vector databases, and stay current with AI frameworks like LangChain and Hugging Face.