Remote Mid Ai Engineer — Agents & Governance

Solicitud De Empleo Para Mid Ai Engineer En Encora; Rosario; Hybrid; ARS 181,906,000 - 272,860,000; Full time

Benefits offered by this job

Professional growth

USD-based pay

Exciting projects

Flextime: remote & office

Job summary

AgileEngine is seeking an Agentic AI Engineer to build AI-driven workflows that automate cloud configurations and remediation baselines. The role emphasizes RAG-based model development, vector databases, and integration with major cloud providers.

Collaboration with globally distributed teams and strong English communication are essential. Ideal candidates have 4+ years in software engineering, 2+ years IaC and RAG work, and hands-on experience with Terraform and LangChain.

Qualifications

• 4+ years of software engineering experience building apps on public cloud.
• 2+ years of experience with IaC and deployment pipelines.
• 2+ years of experience developing Agentic models with RAG and vector databases.
• Ability to collaborate with globally distributed engineering teams.
• Upper-intermediate English proficiency.

Responsibilities

• AI Acceleration: implement generative AI workflows using RAG, vector databases, and LLM APIs to automate cloud configuration baselines.
• Cloud Security Automation: AI-enabled drift detection, continuous discovery, and remediation acceleration.
• Policy & IaC: generate and validate Terraform modules and Rego policies for CI/CD pipelines.

Skills

4+ years software engineering

2+ years IaC

2+ years Agentic models (RAG)

Upper-intermediate English

Tools

Terraform

LangChain

Regula

Open Policy Agent

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.

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.
• Upper-intermediate English level.

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.