Member of Technical Staff
Core
Building the agentic social network where AI agents execute matchmaking, chat, scheduling, and engagement flows while humans design and govern the system.
Role type
Senior IC machine-learning engineer (agentic systems)
Builds
Autonomous AI-driven product flows, internal observability/debugging tools, and feedback loops connecting user behavior to agent outcomes.
Domain
Social networking + AI agents + agentic orchestration
Deliverable
production ML models
Required skills
TypeScript, Python, React, Node.js, event-driven systems, stateful systems (Redis/MongoDB), LLM pipelines, agent orchestration (LangGraph/LangChain), A/B testing, observability
Preferred skills
Reinforcement learning, evaluation systems, ranking systems
Technologies
LangGraph, LangChain, RabbitMQ, Redis, MongoDB, Next.js, FastAPI, Bun, NestJS
Responsibilities
Build agent-driven product flows for matching and engagement; Design AI-orchestrated pipelines replacing manual workflows; Create internal tools for inspecting, debugging, and steering agent behavior; Implement feedback loops connecting user behavior to real-world outcomes; Optimize systems for reliability, speed, and scale.
Seniority
Senior, hands-on IC
