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7 days ago
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Grade
Lead
Work Format
Remote
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Colleagues, there is a rather rare role for a Tech Lead NLP Engineer — 70% hands-on, large models in production, and minimal management.
We are looking for someone for an AI product where the team itself fine-tunes open-source models and develops its own ML infrastructure. Models — up to 1T parameters, infrastructure — 32×H200 + AWS, SGLang is already in production.
The main focus is LLM inference, distributed GPU, training, and post-training: making models faster, more stable, and cheaper. The remaining 30% is technical leadership of the NLP/CV team, without classic people and project management.
It will be especially suitable for those who have worked deeply with SGLang / vLLM / TensorRT-LLM, distributed inference, MoE, KV cache, quantization, RLHF/DPO. And since we are looking for truly rare expertise, the reward is very substantial!
🌍 Fully remote · B2B 🚀 In perspective — growth to Head of ML
And I will be very grateful for recommendations of strong LLM engineers from your circle (for a bonus) 🙌
