Join the team reinventing human connection through autonomous AI. You will build the engine where agents manage matchmaking, scheduling, and re-engagement, moving beyond traditional interfaces to systems where AI is the execution layer. This role combines high-scale full-stack engineering with cutting-edge agent orchestration to eliminate swiping and transform how people meet.
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Senior Full-stack Engineer (Agentic AI) at Ditto AI
Dating apps are broken, so Ditto AI is replacing swiping with autonomous agents. Backed by $9.2M from Google and top VCs, this SF-based team is building the agentic social network where AI handles the logistics of meeting in the real world. As a Senior Full-stack Engineer, you won't just call APIs—you'll architect the systems where AI is the execution layer. If you're a TypeScript expert eager to manage fleets of agents and shape the future of human connection alongside alumni from Meta and DeepMind, this is your next move.
About this role
Role overview
About the company
Ditto AI
Other
Ditto AI - Google-backed startup building the agentic social network
What you'll do
What you will do
- Architect and deploy agent-driven product flows for automated matchmaking, real-time chat, and autonomous scheduling.
- Build sophisticated internal observability tools that allow humans and AI to co-debug, evaluate outcomes, and steer agent behavior.
- Implement closed-loop systems that connect user behavioral data to agent decision-making to continuously improve real-world dating outcomes.
Who you are
Who this is a fit for
- Expert-level TypeScript skills with deep experience in modern frameworks like NestJS, React, Next.js, and Node/Bun.
- Proven track record building autonomous workflows or LLM pipelines using frameworks like LangGraph or custom agentic orchestration.
- Strong background in event-driven architectures and distributed systems, including experience with Redis, MongoDB, and message queues.
Why this role
Why this role is remarkable
- Work at the forefront of Agentic AI with a team from Meta, Google, DeepMind, and MIT to build the "operating system for human connection."
- Massive traction with tens of thousands of real-world dates arranged and $9.2M in seed funding from Google and top-tier VCs.
- High-leverage environment where you act as a "manager of agents," designing the tools and infrastructure that allow autonomous systems to learn and execute.
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