Applied AI Engineer

A1

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Role Focus:

  • Build and ship AI features end-to-end (model → system → user experience).
  • Design and iterate on prompts, tools, memory, and agent workflows.
  • Turn raw model outputs into structured, reliable, and predictable behaviors.

Tech Stack:

  • Python, PyTorch / JAX.
  • LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.).
  • Inference / serving (e.g. vLLM) and Vector DB.

Ideal Experience:

  • Strong foundation in machine learning and modern neural network architectures.
  • Hands-on experience with training, fine-tuning, or deploying ML models.
  • Ability to write clean, production-quality code and work across abstraction layers.

How We Work:

  • Decisions are made collectively, moving at rapid speed while balancing high quality and learning.
  • Emphasis on bringing structure, exercising judgment, and executing independently.
  • Goal: deliver a truly magical AI product to billions of users globally.

A1

A1 builds a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The team is small, world-class, and focuses on rapid iteration and shipping high-quality AI products.

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