Senior Full Stack Engineer

Recruitment ROAD HR

  • San Francisco, California
  • 30+ days ago

    Highlights

    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 deep experience building and scaling AI agent infrastructure, including: Multi-agent orchestration systems and workflow management.

    Numbers & Facts

    LocationSan Francisco, California
    Websitehttps://recruitment.road.rs/

    Description

    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.

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