Design and build AI-enabled workflows and multi-agent systems for security processes

Build retrieval-augmented generation (RAG) and semantic search experiences

Create automated code-review capabilities to identify insecure patterns

Build production Python services and APIs powering AI-enabled security workflows

Design and operate scalable pipelines for code, documents, and events

Improve AI system quality through evaluation frameworks and experiment management

Manage production tradeoffs such as latency, reliability, and cost

Design integrations with GitHub, Slack, Jira, Confluence, LLM providers, and internal services

Apply security controls to AI applications including prompt injection defenses and access control

Identify new opportunities for software, automation, and AI augmentation across the Security team

Software Engineer, AI & Automation

Responsibilities