Applied AI Engineer

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.