Lead AI Analytics Engineer, - CyberOrg Integrity
Core
Architect the AI data infrastructure and orchestrate multi-agent workflows to power autonomous risk detection systems for Trust & Safety.
Role type
Senior IC AI Analytics Engineer (Agentic Middleware)
Builds
Data pipelines, vector databases, multi-agent orchestration frameworks, and secure deployment guardrails for AI agents.
Domain
Trust & Safety / Fraud prevention in the Superapp industry
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 ingestion pipelines and optimize vector databases; Design and deploy multi-agent systems for risk detection; Implement code-level intercepts to block hallucinated AI outputs; Build secure API wrappers for AI agent interaction; Optimize system latency and token-cost efficiency; Translate domain knowledge into structured machine-readable formats.
Seniority
Senior, hands-on IC
