NLP / LLM Engineer

We are looking for a Senior NLP Engineer.

Your main tasks will be:

• Conduct experiments with LLMs and evaluate different architectures and techniques (SFT, RLHF, Adapters, etc.)

• To improve conversational AI quality;

• Develop and maintain robust evaluation frameworks to assess model performance, accuracy, and user satisfaction using offline and online metrics;

• Optimize models for inference, improving speed, efficiency, and scalability for production environments;

• Fine-tune and adapt large language models using approaches such as LoRA, QLoRA, prompt/prefix tuning, and instruction tuning;

• Collaborate closely with Data Scientists, Software Engineers, and Product Managers to integrate AI solutions into the product pipeline;

• Participate in improving deployment and inference stack, including evaluation of serving frameworks such as vLLM and SGLang.

We expect from you:

• Strong hands-on experience with LLM fine-tuning and adaptation techniques such as SFT, LoRA, QLoRA and etc.
  

• Practical experience in training and improving NLP / LLM models, not only integrating third-party APIs or building RAG pipelines;
  

• Deep understanding of Machine Learning, Deep Learning, and classical NLP concepts;
  

• Experience with transformer-based architectures and modern NLP/LLM model development workflows;
  

• Understanding of model evaluation methodologies, offline/online metrics, and experimentation frameworks;
  

• Experience with inference optimization, quantization, and deployment/serving frameworks such as vLLM, SGLang, or similar;
  

• Strong Python skills and practical experience with ML frameworks such as PyTorch, Transformers, NumPy, Pandas, Scikit-learn;
  

• Good understanding of software engineering best practices and production-oriented development mindset;

• English level B2+.

What do we offer:

• Remote options

• Vacation 28 calendar days per year;

• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;

• Bonuses up to $5000 for recommending successful applicants for positions in the company;