🛠 Tech Stack

💼 About This Role

You'll build agent-driven product flows and internal tooling for an autonomous matchmaking engine. Your work will directly power human-AI collaboration in a platform going viral on campuses. You'll shape the core of an agentic social network backed by Google and top-tier VCs.

🎯 What You'll Do

• Build agent-driven product flows for matching, chat, and scheduling
• Design and implement AI-orchestrated pipelines replacing manual workflows
• Create internal tools to inspect, debug, and steer agent behavior
• Implement feedback loops connecting user behavior to real-world outcomes

📋 Requirements

• TypeScript or Python with modern web frameworks (React, Next.js)
• Backend systems experience with Node, Bun, NestJS, or FastAPI
• Event-driven or distributed systems (RabbitMQ, queues, workers)
• Stateful systems experience (Redis, MongoDB, or similar)

✨ Nice to Have

• Exposure to LLM pipelines or agents (LangGraph, LangChain)
• A/B testing or experimentation experience
• Reinforcement learning or ranking systems

🎁 Benefits & Perks

• 💰 Competitive compensation with equity
• 🏢 SF Office with on-site collaboration
• 📈 Backed by Google and top-tier VCs
• 🚀 Early-stage impact in a fast-growing startup
• 🌍 Shaping agentic social platform from the ground up

🚩 Heads Up

• Wide salary range ($120K-$300K) indicates variability
• Role title mentions 'Agentic AI' but actual focus is full-stack with AI integration