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 a
Lead Agentic AI Engineer
to serve as the senior AI developer for a Cloud Security Tooling team, architecting GenAI workflows that automate configuration baseline enforcement, drift detection, and remediation across public cloud infrastructure. You will design RAG-based systems and LLM API integrations to generate compliant Terraform modules and Rego policies, lead a distributed engineering team in a follow-the-sun model, and own the technical strategy for AI enablement across cloud security tooling. The role requires 6+ years of software engineering experience with 2+ years each in cloud IaC and agentic AI development.
WHAT YOU WILL DO
- Architect Generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3).
- Oversee the development of AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
- Accelerate the generation and validation of compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.
- Act as the technical lead for the Cloud Security Tooling team’s AI enablement initiatives, designing service architecture and driving extensible frameworks.
MUST HAVES
-
6+ 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)
.
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2+ years of experience developing Agentic models
(e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.
- Proven capability of
technical leadership
in a global organization developing technology strategy and driving technology programs.
- Proven capability to
lead and mentor engineers in a distributed, asynchronous, follow-the-sun model
.
- 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
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Growth without limits
: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
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Competitive compensation
: get recognition that reflects your skills and impact, with regular performance and compensation reviews
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Flexibility
: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
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Meaningful, modern projects
: build impactful products using modern technologies alongside global teams and leading brands
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Collaborative culture
: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
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Well-being & support
: access local well-being programs and people-focused support tailored to your location
