We are looking for a pragmatic, end-to-end AI Engineer to build and ship AI-powered product features using pre-trained foundation models. In this role, your focus will be on reliability, measurable quality, and seamless integration.

Beyond core AI application development, you possess an intermediate ability to navigate Linux environments and manage GPU infrastructure. You should be comfortable operating on Linux VMs with NVIDIA GPUs, running local models (e.g., vLLM), and troubleshooting the ML stack. We are not looking for a pure DevOps or systems specialist, but rather a highly resourceful engineer who can confidently navigate the infra layer to get the job done.

Key Responsibilities

Product & Feature Delivery

End-to-End Ownership: Ship AI features from initial design and prototyping to production deployment and continuous iteration.

• Robust Integrations: Build reliable mo...