AI Automation Engineer: Growth-Driven & Remote

Yuno; Partido de Quilmes; Remote; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

Work from anywhere

Earn in USD

Paid time off

International certifications

Access coworking spaces worldwide

English development

Job summary

Pearster is hiring an AI Engineer to design, build, and deploy AI-powered solutions in a fully remote role. You will work with Generative AI, LLMs, ML, and automation to solve real business challenges and deliver production-ready applications.

You will collaborate with Engineering, Product, and business stakeholders to implement robust AI workflows, integrate services from OpenAI, Anthropic, Google, AWS, or Azure, and stay current with evolving AI tech and governance.

Qualifications

• 4+ years software engineering on public cloud infrastructure.
• 2+ years cloud deployment pipelines and IaC.
• 2+ years developing Agentic models using 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 cloud configuration baselines.
• Cloud Security Automation: develop AI-enabled drift detection, continuous discovery, and gap analysis capabilities.
• Policy & IaC: generate and validate Terraform modules, Rego policies, and Regula tests for CI/CD pipelines.

Skills

Python

AI/ML

APIs

RAG

Vector databases

LangChain

Cloud platforms

CI/CD

English communication

Remote work

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Terraform

Open Policy Agent

Regula

LangChain

LangGraph

Job description

Pearster is hiring an AI Engineer to design, build, and deploy AI-powered solutions in a fully remote role. You will work with Generative AI, LLMs, ML, and automation to solve real business challenges and deliver production-ready applications.

You will collaborate with Engineering, Product, and business stakeholders to implement robust AI workflows, integrate services from OpenAI, Anthropic, Google, AWS, or Azure, and stay current with evolving AI tech and governance.