AI Platform Engineer

2 days ago

Dublin, Dublin City, Ireland T-Pro Group Full time

Join to apply for the AI Platform Engineer role at T-Pro

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.

Responsibilities
  • Design, build, and maintain production-ready APIs for speech, language, and other AI models.
  • Provide SDKs and documentation to enable easy developer adoption.
  • Deploy models (ASR, LLM, and others) using Triton Inference Server or similar systems.
  • Optimise inference pipelines for low-latency, high-throughput workloads.
  • Architect infrastructure for handling large-scale, concurrent inference requests.
  • Implement monitoring, logging, and auto-scaling for deployed services.
  • Work with research teams to productionize new models.
  • Partner with application teams to deliver AI functionality seamlessly through APIs.
  • Automate CI/CD pipelines for models and APIs.
  • Manage GPU-based infrastructure in cloud or hybrid environments.
Requirements
  • 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.).
  • Infrastructure
    • Experience with Docker, Kubernetes, and managing GPU-accelerated workloads.
    • Deep knowledge of real-time inference systems (REST, gRPC, WebSockets, streaming).
    • Cloud experience (AWS, GCP, Azure).
  • Bonus
    • Experience with model optimisation (quantisation, distillation, TensorRT, ONNX).
    • Exposure to MLOps tools for deployment and monitoring
Seniority level
  • Not Applicable
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • IT System Custom Software Development

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