AI Engineer - Cybersecurity Products
Core
Building agentic AI systems (planning/execution loops, tool use) for cybersecurity use cases like vulnerability triage, exploit reproduction, and incident-response copilots.
Role type
Senior IC AI Engineer (LLM/Agentic Systems)
Builds
Production AI features for security operations and incident response
Domain
Cybersecurity / AI Engineering
Deliverable
production ML models | product features
Required skills
LLM/Agent orchestration (LangChain/AutoGen), RAG implementation (vector stores, re-ranking), safety & guardrails (prompt injection defense, PII redaction), traditional ML (sklearn/XGBoost), Python, Cloud MLOps (AWS/Azure/GCP, Docker/K8s), CI/CD, SQL/NoSQL
Preferred skills
Cybersecurity domain knowledge (OWASP, OAuth/OIDC), experience with evaluation harnesses (LLM judges, golden sets)
Technologies
LangChain, AutoGen, CrewAI, OpenTelemetry, Langfuse, Terraform, CloudFormation, Docker, Kubernetes, AWS, Azure, GCP, sklearn, XGBoost, LightGBM, vector databases
Responsibilities
Design and ship agentic AI features for security workflows; Implement and harden RAG pipelines with data governance; Set up evaluation and observability for LLM/agent workflows; Build safety guardrails and monitor them in production; Apply traditional ML where appropriate and run A/B tests; Own productionization including CI/CD, containerization, and SLOs; Collaborate with product and security teams to scope problems and iterate
Seniority
Mid-Senior, hands-on IC
