We are seeking an AI Platform Engineer to build and scale the infrastructure that powers our production AI services. You will take cutting-edge models, ranging from speech recognition (ASR) to large language models (LLMs)-and deploy them into highly available, developer-friendly APIs.
You will be responsible for creating the bridge between the R&D team, who train models, and the applications that consume them. This means developing robust APIs, deploying and optimising models on Triton Inference Server (or similar frameworks), and ensuring real-time, scalable inference.

CORE SKILLS

• Strong programming experience in Python (FastAPI, Flask) and/or Go/Node.js for API services.
• Hands-on experience with model deployment using Triton Inference Server, TorchServe, or similar.
• Familiarity with both ASR frameworks and LLM frameworks (Hugging Face Transformers, TensorRT-LLM, vLLM, etc.).