Agentic AI Engineer ID87375

AgileEngine, LLC.; Campinas; Híbrido; BRL 602 000 - 803 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive pay (USD)

Exciting projects

Flextime

Resumo da oferta

AgileEngine, LLC is seeking an Agentic AI Engineer to build generative AI workflows that automate cloud configuration baselines and remediation. Candidates should have 4+ years of software engineering on public cloud infra, 2+ years with IaC and deployment pipelines, and 2+ years developing agentic models using RAG and vector databases.

Flexible remote/office options available. Collaborate with globally distributed teams to accelerate cloud security automation and policy as code initiatives,

Qualificações

• 4+ years of software engineering experience on public cloud infrastructure.
• 2+ years of experience with cloud deployment pipelines and Infrastructure as Code.
• 2+ years developing agentic models using Retrieval-Augmented Generation and vector databases.

Responsabilidades

• Implement generative AI workflows using RAG, vector databases, and LLM APIs to automate cloud configuration baselines.
• Develop AI-enabled drift detection, continuous discovery, and remediation acceleration capabilities.
• Generate and validate Terraform modules and Rego policies for CI/CD pipelines.

Conhecimentos

Cloud engineering

IaC (Terraform)

RAG & vector DBs

Distributed teams

Ferramentas

Terraform

OpenAI

Anthropic

Descrição da oferta de emprego

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.