Agentic AI Engineer: Cloud AI Automation & RAG

AgileEngine, LLC.

Porto

Hybrid

EUR 107,000 - 161,000

Full time

7 days ago
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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. You will collaborate with globally distributed teams to advance AI-driven cloud security automation and policy-as-code efforts.

The role emphasizes RAG-enabled models, vector databases, Terraform modules, and Regula tests, with remote/office-flexible arrangements and USD-based compensation.

Qualifications

  • 4+ years of software engineering experience developing applications and services 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 ability to partner with globally distributed inter-disciplinary engineering teams.

Responsibilities

  • AI Acceleration: implement generative AI workflows using RAG, vector databases, and LLM APIs to automate cloud configuration baselines.
  • Cloud Security Automation: develop AI-enabled drift detection, discovery, and remediation capabilities to speed up responses.
  • Policy & IaC: generate and validate Terraform modules, Rego policies for Wiz Custom Configuration Rules, and Regula test cases for CI/CD pipelines.

Skills

Software engineering
Public cloud experience

Tools

Terraform
Open Policy Agent (OPA)
Rego policies
LangChain
LangGraph
Vector databases

Job description

AgileEngine is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. You will collaborate with globally distributed teams to advance AI-driven cloud security automation and policy-as-code efforts.

The role emphasizes RAG-enabled models, vector databases, Terraform modules, and Regula tests, with remote/office-flexible arrangements and USD-based compensation.

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