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Senior Full-stack Engineer (Agentic AI) ($120K – $300K + 0.2% – 0.5% Equity) at Ditto AI

Jack & Jill

Remote (Global) Full-time Senior $120k – $300k/yr 1w ago

About the role

Job Title

Senior Full-stack Engineer (Agentic AI)

Salary

$120K – $300K + 0.2% – 0.5% Equity

Company Description

Ditto AI - Google-backed startup building the agentic social network

Location

San Francisco, USA

This a Full Remote job, the offer is available from: Austria, Canada, California (USA)

Job Description

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.

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.

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.

The ideal candidate

  • 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.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps

  1. Visit our website.
  2. Click 'Talk to Jack'.
  3. Talk to Jack so he can understand your experience and ambitions.
  4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
  5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
  6. If not, Jack will find you excellent alternatives. All for free.

Additional Information

  • We never post fake jobs
    This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
    Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
    We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

  • Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

  • This offer from "Jack & Jill" has been enriched by Jobgether.com and got a 75% flex score.

Requirements

  • 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.

Responsibilities

  • 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.

Skills

BunLangGraphMongoDBNestJSNodeReactRedisTypeScript

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