Member of Technical Staff About the RoleDitto is building the agentic social network — where AI agents don’t just assist users, they run the system: understanding people, making decisions, learning from outcomes, and continuously improving how humans meet in the real world.This is not a traditional full-stack role.We are looking for engineers who want to build systems where AI is the execution layer and humans design, guide, and govern those systems.In this role, you will help bring Ditto’s autonomous matchmaking and engagement engine to life. You will build both customer-facing experiences powered by agents and the internal tooling that allows humans and AI to observe, debug, and improve those agents. You will collaborate closely with product, research, and infrastructure to shape the core of Ditto’s agentic platform.In This Role, You WillBuild agent-driven product flows across matching, chat, scheduling, and re-engagementOwn customer-facing social experiences powered by autonomous AI systemsDesign and implement AI-orchestrated pipelines that replace manual workflowsCreate internal tools for humans and AIs to:inspect system statedebug agent behaviorevaluate outcomessteer system directionImplement feedback loops connecting:user behavioragent decisionsreal-world outcomes (matches, replies, dates, retention)Optimize the system for reliability, speed, and scaleHow You Will WorkYou will operate as a manager of AI agents.Your job is not to write every line of code — it is to:Define what agents should doProvide the right contextDesign the tools they useValidate their outputsBuild the infrastructure that lets them learn from experienceYou will continuously turn:Human workflows → Autonomous systems → Measurable outcomesWhat We’re Looking ForWe are looking for engineers who think in systems, loops, and leverage, not just features.You should:Have built real production systemsBe comfortable across frontend, backend, and AIUnderstand stateful and autonomous systemsBe excited by AI as the execution layer, not just an APIYour background likely includesStrong 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 loopsExperience building autonomous or AI-driven workflowsExperience with observability, logging, and debugging of AI systemsA mindset of:shipping fastmeasuring real outcomesiterating based on dataBonus (not required)Experience with reinforcement learning, evaluation, or ranking systemsAbout DittoDitto is reimagining how people meet — starting with dating.We’re building the first fully agentic social platform, where AI does the heavy lifting: understanding preferences, finding compatible matches, and even setting up real-world dates.Our co-founders dropped out of UC Berkeley to build this vision. Since then, Ditto has gone viral across campuses, set up tens of thousands of real dates, and raised funding from Google and top-tier VCs, alongside engineers and researchers from MIT, Stanford, Berkeley, and DeepMind.Dating is just the beginning.We are building the operating system for human connection — and rewriting how people meet, interact, and form relationships in an AI-native world.If that excites you, come build with us.