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.