Senior LLM AI Engineer

📋 Description Design, build, and deploy LLM AI solutions across data sources. Implement model lifecycle workflows: data annotation, synthetic data, evaluation. Lead fine-tuning and continuous improvement of proprietary LLMs for privacy, quality, and latency. Define training strategies and dataset requirements for effective models. Optimize LLM inference for latency, cost, throughput, and infrastructure. On-site Prague office; remote work not typical. 🎯 Requirements Experience deploying AI in production and iterating improvements. Build retrieval and context pipelines for LLM grounding. LLM training pipelines: fine-tuning, evaluation, iteration. Proficient in Python and PyTorch, Hugging Face, Transformers. Model optimization and deployment tools: ONNX, TensorRT-LLM, vLLM. Collaborate with engineers, PMs, and stakeholders; clear ML communication. 🎁 Benefits Innovation: critical thinking and trailblazing work. Growth: space to grow; Fortune Best Workplaces recognition. Team: collaborative, ego-free culture. Perks: flexible time off, wellness resources, team events.