Build agentic generative AI workflows for cloud configuration automation, baseline creation, drift detection, gap analysis, and remediation. Develop and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines. The role requires experience with RAG, vector databases, LLM APIs, cloud infrastructure, IaC, and collaboration with globally distributed engineering teams.
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 accelerate cloud configuration and remediation activities. This person uses RAG, vector databases, and LLM APIs to automate baseline creation and drift detection, generating compliant Terraform modules and Rego policies. Cross-team collaboration across distributed engineering groups is essential.
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.
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 grasp 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 ServiceNow.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location
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