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3 дня назад

Member of Technical Staff (AI Engineering)

120 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Member of Technical Staff (AI Engineering): Building an agentic social network where AI agents handle matchmaking and engagement with an accent on autonomous systems and AI-orchestrated pipelines. Focus on designing feedback loops, creating AI observability tools, and implementing stateful systems to replace manual workflows.

Location: SF Office (San Francisco, USA)

Salary: $120K – $300K

Company

hirify.global is building the first fully agentic social platform designed to automate and optimize how humans meet and form relationships in an AI-native world.

What you will do

  • Build agent-driven product flows across matching, chat, scheduling, and re-engagement.
  • Design and implement AI-orchestrated pipelines to replace manual workflows.
  • Create internal tools for humans and AIs to inspect system state, debug agent behavior, and steer system direction.
  • Implement feedback loops connecting user behavior, agent decisions, and real-world outcomes.
  • Optimize the agentic platform for reliability, speed, and scale.

Requirements

  • Proven experience building real production systems.
  • Full-stack capability across frontend, backend, and AI domains.
  • Strong proficiency in TypeScript and/or Python with modern frameworks like React and Next.js.
  • Experience with backend systems (Node, Bun, NestJS, FastAPI) and stateful systems (Redis, MongoDB).
  • Knowledge of event-driven or distributed systems (RabbitMQ, queues, workers).
  • Exposure to LLM pipelines, agents, or orchestration frameworks such as LangGraph and LangChain.

Nice to have

  • Experience with reinforcement learning, evaluation, or ranking systems.

Culture & Benefits

  • Opportunity to work at an early-stage startup founded by UC Berkeley alumni.
  • Backing from Google and top-tier venture capital firms.
  • Collaborate with a world-class team from MIT, Stanford, Berkeley, and DeepMind.
  • Fast-paced environment focused on shipping quickly and iterating based on measurable data.

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