Lead Data Engineer, Analytic Platform
Core
Architect the AI data infrastructure and orchestrate multi-agent workflows to power autonomous risk detection systems for Trust & Safety.
Role type
Lead Data Engineer (AI Infrastructure & Agentic Middleware)
Builds
Data ingestion pipelines, vector databases, multi-agent orchestration frameworks, and secure deployment guardrails for AI agents.
Domain
Trust & Safety / Fraud Prevention / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, backend system architecture, secure API development, data engineering (ETL, pipelines, vectorization), LLM orchestration (LangChain, LangGraph, LangSmith), legacy system modernization
Preferred skills
Trust & Safety domain knowledge, transitioning pre-LLM systems to AI infrastructures
Technologies
Python, LangChain, LangSmith, LangGraph, vector databases, AST parsers, MCP servers
Responsibilities
Architect AI data infrastructure including vector databases and embeddings; Orchestrate multi-agent workflows for risk detection; Build proactive blast-radius controls to block AI errors; Develop secure deployment guardrails for AI agents; Optimize system reliability and latency; Collaborate with Data Analysts to translate domain knowledge into machine-readable formats
Seniority
Senior, hands-on IC