Agentic AI Engineer: Cloud Automation & RAG Architect

AgileEngine, LLC.; Warszawa; Hybrid; PLN 469,000 - 704,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. The role requires 4+ years of software engineering on public cloud infrastructure, 2+ years with IaC and cloud deployment pipelines, and 2+ years developing agentic models using RAG and vector databases, plus the ability to partner with globally distributed teams.

Nice-to-haves include LangChain, LangGraph, Terraform, and experience with cloud-native

Qualifications

• 4+ years of software engineering on public cloud infrastructure.
• 2+ years 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 ability to partner with globally distributed inter-disciplinary 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 remediation capabilities to speed up response and remediation.
• Policy & IaC: generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.

Skills

Software engineering

Cloud infrastructure

IaC (Terraform)

Agentic models (RAG)

Distributed teams collaboration

Tools

LangChain

LangGraph

Open Policy Agent (Rego)

Regula

Terraform

Job description

AgileEngine is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. The role requires 4+ years of software engineering on public cloud infrastructure, 2+ years with IaC and cloud deployment pipelines, and 2+ years developing agentic models using RAG and vector databases, plus the ability to partner with globally distributed teams.

Nice-to-haves include LangChain, LangGraph, Terraform, and experience with cloud-native