Artificial Intelligence Engineer ID87376
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Role Overview
The Agentic AI Engineer builds generative AI workflows that accelerate cloud configuration and remediation activities.
The role uses RAG, vector databases, and LLM APIs to automate baseline creation and drift detection and to generate compliant infrastructure and policy artifacts.
Cross-team collaboration across distributed engineering groups is essential.
Key Skills for This Role
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About AgileEngine
AgileEngine creates software for Fortune 500 brands and startups across more than 17 industries, including application development and AI/ML.
About the Role
The Agentic AI Engineer builds generative AI workflows that accelerate cloud configuration and remediation activities.
The role uses RAG, vector databases, and LLM APIs to automate baseline creation and drift detection and to generate compliant infrastructure and policy artifacts.
Cross-team collaboration across distributed engineering groups is essential.
What You Will Do
- Implement generative AI workflows using RAG, vector databases, and LLM APIs to automate cloud configuration baseline creation.
- Develop AI-enabled drift detection, continuous discovery, and gap analysis capabilities for cloud security automation.
- Generate and validate compliant Terraform modules, Rego policies for Wiz Custom Configuration Rules, and Regula test cases for CI/CD pipelines.
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.
- 2+ years of experience developing Agentic AI models using OpenAI or Anthropic with RAG and vector databases.
- Proven ability to partner with globally distributed interdisciplinary engineering teams.
- Upper-intermediate English level.
Nice to Haves
- Hands-on experience with LangChain or LangGraph.
- Hands-on experience writing Rego policies or Regula test cases.
- Hands-on experience with Terraform.
- Familiarity with cloud-native security services in AWS, Azure, and GCP.
- Familiarity with PagerDuty, Atlassian Suite, and ServiceNow.
Perks and Benefits
- Growth opportunities include mentorship, internal TechTalks, challenging projects, and an annual learning budget.
- The company offers competitive compensation with regular performance and compensation reviews.
- The role is 100% remote with flexible hours.
- Projects use modern technologies and involve global teams and leading brands.
- The culture emphasizes collaboration, autonomy, and support, with local well-being programs.
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