出海雷达

高级全栈工程师

Senior Full Stack Engineer

AI开发工程限定地区(需当地身份)
公司Recruitment ROAD HR
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

We are a consumer AI studio, which has shipped and grown multiple products in the past to millions of users. We are currently looking for a Senior Engineering lead to join our team for our next platform around AI Agents.
Requirements:

  • You have experience in end to end application development - full stack development, front end, backend, infrastructure and ops across multiple stacks (Typescript, Javascript, MERN)
  • You have shipped products and worked with product teams towards design, UX
  • You are hands on and write robust code
  • You have some understanding of AI agent systems
  • You have good working proficiency in English, especially written
  • You have extraordinary problem solving skills, particularly in debugging complex multi-agent interactions and emergent behaviors

Bonus:

  • You are a graduate of a top tier university
  • You have worked on a well known product
  • Strong proficiency in programming languages such as JavaScript, Go, and Rust.
  • Demonstrable skills in both Backend and Frontend development at large scale, such as React, Tailwind, Node, Redis, MongoDB, and Docker
  • Strong proficiency in AWS cloud infrastructure at scale, with Demonstrable skills in cost management.
  • Strong proficiency in AI LLM Inference, and AI Model fine-tuning.
  • You have deep experience building and scaling AI agent infrastructure, including:
  • Multi-agent orchestration systems and workflow management
  • Agent reasoning frameworks, decision trees, and planning algorithms
  • Tool integration architectures and function calling systems
  • Agent memory management, context persistence, and state handling
  • Real-time agent coordination and communication protocols
  • You have experience in AI training, fine-tuning inference and deployment - personal projects count
  • You have built or contributed to open-source agent frameworks, LLM orchestration tools, or autonomous system libraries
  • You have experience with reinforcement learning, particularly in multi-agent environments
  • You understand the theoretical foundations of agent architectures (ReAct, Chain-of-Thought, Tree of Thoughts, etc.)
  • You have a network of highly talented engineers and can grow into a leadership role
  • You are strongly opinionated about the future of technology. You are not just an executor but have an independent vision

Benefits:

  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Work From Home
  • Stock Option Plan

No visa sponsorship.
Originally posted on Himalayas

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Recruitment ROAD HRUnited StatesFull Time今天
开发工程限定地区(需当地身份)

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