Ditto
social network
MemberofTechnicalStaff
Neural analysis suggests this role is
optimal for Mid candidates.
“Member of Technical Staff at Ditto. Skills: AI agents, autonomous systems, backend systems, frontend development, AI development. Build agent-driven product flows across matching, chat, scheduling, and re-engagement. Own customer-facing social experiences powered by autonomous AI systems”
What You'll Achieve.
understanding people; making decisions; learning from outcomes; continuously improving how humans meet in the real world; set up tens of thousands of real dates; measurable outcomes
Industry & Context.
What They're Looking For.
Must Have
built real production systems, comfortable across frontend, backend, and AI, understand stateful and autonomous systems, excited by AI as the execution layer, not just an API
Nice to Have
reinforcement learning, evaluation, ranking systems
What You'll Do.
Build agent-driven product flows across matching
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
Implement feedback loops
Optimize the system for reliability
Define what agents should do
Provide the right context
Design the tools they use
Validate their outputs
Build the infrastructure that lets them learn from experience
Turn Human workflows into Autonomous systems into Measurable outcomes
How You'll Work.
Team & Collaboration
collaborate closely with product, research, and infrastructure
Full Job Description
ABOUT THE ROLE Ditto 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 WILL - 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 HOW YOU WILL WORK You 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 do - Provide the right context - Design the tools they use - Validate their outputs - Build the infrastructure that lets them learn from experience You will continuously turn: Human workflows → Autonomous systems → Measurable outcomes WHAT WE’RE LOOKING FOR We are looking for engineers who think in systems, loops, and leverage, not just features. You should: - Have built real production systems - Be comfortable across frontend, backend, and AI - Under
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