Remote Agentic AI Engineer: Cloud Automation & RAG

AgileEngine, LLC.; Madrid; Hybrid; EUR 62,000 - 107,000; Full time

Benefits offered by this job

Flextime

Remote work options

Competitive compensation (USD-based)

Job summary

AgileEngine is seeking an Agentic AI Engineer to design generative AI workflows that automate cloud configuration baselines and remediation. The candidate must have 4+ years in software engineering on public cloud infrastructure and 2+ years with deployment pipelines, IaC, and agentic models using RAG and vector databases.

You will collaborate with globally distributed engineering teams to deliver scalable AI-driven cloud solutions.

Qualifications

• 4+ years of software engineering experience developing applications and services on public cloud infrastructure.
• 2+ years of experience with cloud deployment pipelines and infrastructure as code (IaC).
• 2+ years 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.

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, continuous discovery, and gap analysis for faster remediation.
• Policy & IaC: generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.

Skills

Cloud software engineering

Cloud infrastructure

IaC tooling

Agentic AI models (RAG)

Vector databases

Distributed team collaboration

Tools

Terraform

Job description

AgileEngine is seeking an Agentic AI Engineer to design generative AI workflows that automate cloud configuration baselines and remediation. The candidate must have 4+ years in software engineering on public cloud infrastructure and 2+ years with deployment pipelines, IaC, and agentic models using RAG and vector databases.

You will collaborate with globally distributed engineering teams to deliver scalable AI-driven cloud solutions.