AI / Generative AI Engineer contributing to LLM - based systems for iGaming platform at GR8 Tech. Building chatbots, AI assistants, and GenAI features in production environments.
About the role
- AIOps Engineer at Praetorian developing an AI-native infrastructure for their SaaS offerings. Leading automation and security within an elite offensive security company.
Responsibilities
- You will lead the deployment of our Generative AI infrastructure, moving beyond "support tickets" toward self-service automation and agentic resolution.
- Learn routing and orchestration for frontier models (Claude/Claude Code, Gemini, OpenAI) and open-source/distilled models (DeepSeek, Qwen, Kimi) using tools like LiteLLM, AWS Bedrock, and n8n.
- Build retrieval-augmented generation (RAG) systems and agentic workflows that integrate with our internal knowledge base to streamline operations.
- Support the engineering team by integrating AI-driven CLIs and IDEs (Claude Code, Cursor, Codex) directly into the daily workflow.
- Treat the entire corporate and product environment as a codebase. You will contribute to the design, reliability, and security of these environments using Terraform, Pulumi, ClawdBot, or Devpod.
- Help build serverless, high-availability environments that scale.
- Act as the integration engineer for our core stack (Salesforce, HubSpot, Linear, Notion, Google Workspace, Pave). If it has an API, you will automate it.
- Wear a tin foil hat and partner with our internal Red Teams to implement Zero-Trust networking and secure build pipelines. You will learn why low-latency environments matter for cracking and why security must be woven into the fabric of the architecture.
- Help architect and automate the access management stack (Okta/Google Workspace/SSO). You will build the guardrails that allow rapid onboarding and access without sacrificing security.
- Support high-performance computing (HPC) and specialized networking environments specifically tailored for deep-tier penetration testing and adversarial simulations.
- You are accountable for the "last mile" of execution. You will write code, configure VPCs, and debug CI/CD pipelines alongside a small, elite team.
- You will contribute to creating a friction-free employee experience—minimizing human intervention for access, hardware provisioning, and compliance.
- Help ensure internal systems can handle massive data requirements and rapid growth without sacrificing performance.
Requirements
- We prioritize High Agency and Individual Drive over years of tenure. We want the person who builds side projects for fun.
- Relentless Autodidact: You don't wait for a training manual. You have a proven track record of teaching yourself new technologies and turning ideas into working projects.
- Polyglot Engineer: Strong foundation in Python or Go. You are eager to learn complex APIs, custom integrations, and low/no-code platforms to bridge gaps.
- Cloud Native Passion: Demonstrated interest in AWS (Primary), with eagerness to learn Azure/GCP. Specifically passionate about serverless architectures, Kubernetes, and automated provisioning.
- AI Pragmatist: You understand the difference between AI hype and high-utility automation. You have a passion for AI/ML frameworks (LangChain, CrewAI, AutoGen, OpenAI SDK) and implementing secure AI usage policies.
- MacOS & Device Engineering: Interest in macOS device management (MDM) and open-source software like Munki.
Benefits
- Elite Talent: Work alongside the top 1% of the industry—composed exclusively of high performers who raise the bar.
- Our DNA: We are defined by action, grit, and uncompromising transparency. We move fast, take on hard problems, and choose clarity over comfort—because that’s how meaningful work gets done.
- Impact: Your work directly protects the world's most critical organizations.
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