Agentic AI Engineer ID87375

AgileEngine, LLC.; Aveiro; Hybrid; EUR 125,000 - 187,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud baselines and remediation. The role requires 4+ years in software engineering on public cloud infrastructure, plus 2+ years in cloud deployment pipelines and IaC, and 2+ years in developing agentic models using RAG and vector databases.

Collaboration with globally distributed teams is essential. Nice-to-haves include LangChain or LangGraph experience, Terraform, Rego policies, Regula tests,

Qualifications

• 4+ years of software engineering experience developing apps/services on public cloud.
• 2+ years with 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 with RAG, vectors, and LLMs to automate cloud baselines.
• Cloud Security Automation: drift detection, discovery, and remediation acceleration.
• Policy & IaC: generate/validate Terraform modules, Rego policies, and Regula tests for CI/CD.

Skills

4+ years software engineering

2+ years cloud IaC

2+ years Agentic models (RAG)

Global team collaboration

Tools

Terraform

Rego/Open Policy Agent

Regula tests

LangChain/LangGraph

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation.

The mandatory requirements are 4+ years of software engineering experience on public cloud infrastructure, 2+ years with cloud deployment pipelines and Infrastructure as Code, 2+ years developing agentic models using RAG and vector databases, and the ability to partner with globally distributed engineering teams.

MUST HAVES

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

NICE TO HAVES

• - Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph).
• - Hands-on experience writing Rego policies (Open Policy Agent) or Regula test cases.
• - Hands-on experience with Terraform.
• - Familiarity with cloud-native security services in Amazon Web Services, Azure, and Google Cloud Platform.
• - Familiarity with PagerDuty, Atlassian Suite, and Service Now.

WHAT YOU WILL DO

• - 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 & Infrastructure as Code (IaC): generate and validate compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

PERKS AND BENEFITS

• - Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
• - Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
• - Exciting projects : Modern solutions with Fortune 500 and top product companies.
• - Flextime : Flexible schedule with remote and office options.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.