Sr. Engineer, AI - AI Detection and Response (aidr) (hybrid)

CrowdStrike CrowdStrike · Enterprise · Sunnyvale, CA +2

This role focuses on building AI applications and agents, specifically leveraging LLM concepts like RAG and Agentic AI. The engineer will be responsible for implementing production-quality, scalable, and performant code on cloud platforms, with a strong emphasis on cybersecurity applications.

What you'd actually do

  1. Understand the requirements.
  2. Design and present the solution, gather feedback and iterate towards an acceptable solution.
  3. Implement prototypes and high quality scalable, performant, testable production level code.
  4. Build and maintain dashboards necessary to monitor and report on the production metrics of the feature (efficacy and performance)
  5. Iterate and improve the solution as necessary features, efficacy, scale and performance.

Skills

Required

  • Go
  • Python
  • Kubernetes
  • AWS
  • GCP
  • Azure
  • OCI
  • TensorFlow
  • PyTorch
  • Autogen
  • LlamaIndex
  • LangChain
  • AWS Agent Core
  • AI Agent Studio
  • MS Copilot Studio

Nice to have

  • experience in security companies
  • working in close coordination with or in security products
  • Deep understanding of Security landscape, especially AI Security

What the JD emphasized

  • deep understanding of various LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks
  • expert level knowledge of a few of the various frameworks like TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, MS Copilot Studio
  • production quality scalable, performant and code
  • Ability to present the problem and describe the solution in easy to understand ways for a larger audience is critical.
  • 4+ years of experience in implementing Generative AI Apps and features
  • Building Apps on Azure Cloud Platform, MS CoPilot, AI Agents

Other signals

  • building AI applications and agents
  • LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks
  • implement production quality scalable, performant and code