Member of Technical Staff
Ditto· Engineering
SF Office$120k - $300kFull-timePosted 3mo ago
About the role
Ditto is building an agentic social network where AI agents run the system, understand people, make decisions, learn from outcomes, and continuously improve real-world interactions. This role focuses on building autonomous matchmaking and engagement engines, including customer-facing experiences powered by agents and internal tooling for observation, debugging, and improvement.
Responsibilities
- Build agent-driven product flows across matching, chat, scheduling, and re-engagement
- Own customer-facing social experiences powered by autonomous AI systems
- Design and implement AI-orchestrated pipelines that replace manual workflows
- Create internal tools for humans and AIs to: inspect system state, debug agent behavior, evaluate outcomes, steer system direction
- Implement feedback loops connecting: user behavior, agent decisions, real-world outcomes (matches, replies, dates, retention)
- Optimize the system for reliability, speed, and scale
Qualifications
- Strong TypeScript and/or Python with modern web frameworks (React, Next.js, etc.)
- Experience building backend systems (Node, Bun, NestJS, FastAPI, or similar)
- Experience with event-driven or distributed systems (RabbitMQ, queues, workers)
- Experience with stateful systems (Redis, MongoDB, or similar)
- Exposure to LLM pipelines, agents, or orchestration frameworks (LangGraph, LangChain, custom agents, etc.)
- Experience with A/B testing, experimentation, or growth loops
- Experience building autonomous or AI-driven workflows
- Experience with observability, logging, and debugging of AI systems
- A mindset of shipping fast, measuring real outcomes, iterating based on data
Skills
Required:TypeScriptReact/Next.jsNode/NestJS/FastAPIdistributed systemsRedis/MongoDB
Nice to have:PythonLLM pipelines / agents / orchestration
Last updated Aug 24, 2026. Interested? Apply on the company site.
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