Senior Data Scientist - LLM Agents & Infra (Cortex)
Core
Design and build robust infrastructure for autonomous multi-agent systems, ensuring production-grade reliability, observability, and stability for agentic products.
Role type
Senior IC data scientist (LLM agents & infrastructure)
Builds
Autonomous multi-agent systems with guardrail architectures, tracing/logging for reasoning chains, and automated failure replication tools.
Domain
Cybersecurity + LLM infrastructure
Deliverable
production ML models
Required skills
multi-agent system architecture, LLM-powered autonomous tool-calling, RAG implementation, reasoning loop design, system stability engineering, advanced tracing and logging, model decay monitoring, semantic drift detection, edge-case failure analysis, proprietary and open-source model integration
Preferred skills
AI observability platform expertise (e.g., LangSmith), cybersecurity domain knowledge, open-source community contributions
Technologies
LangSmith, LangChain, HuggingFace
Responsibilities
Design backbone for multi-agent systems managing complex workflows; Build infrastructure for dynamic AI environments with robust guardrails; Implement tracing/logging for agent thought processes; Develop automated tools for isolating and replicating edge-case failures; Establish monitoring for production deployments tracking model decay and semantic drift
Seniority
Senior, hands-on IC
