Tech Lead NLP / LLM

Looking for a Tech Lead in NLP/LLM with over 5 years of experience, including 3 years in a leadership role. Strong skills in ML algorithms and modern model integration.

### Requirements - Commercial experience in NLP/LLM for at least 5 years, with a minimum of 3 years as a Technical Lead. - Deep understanding of ML algorithms, LLM architecture, and retrieval-based systems (Transformers, Attention, RAG, SFT, LoRA/Adapters). - Proficient in Python and relevant stack: PyTorch, HuggingFace, sentence-transformers, LangChain / LangGraph / LlamaIndex, FastAPI. - Practical experience in optimizing inference and integrating modern models (Qwen, DeepSeek, Llama, Mistral). - Understanding of AI service scaling principles, caching, and distributed inference. - Excellent skills in business interaction and experience leading a product team. - Bonus: Experience building production-ready RAG systems based on PostgreSQL / ClickHouse / OpenSearch + vector engines. - Experience seamlessly integrating LLM with corporate banking systems and BI platforms. - Knowledge of monitoring tools for LLM performance (latency, quality, cost metrics).

Rosselkhozbank (Russian Agricultural Bank, RSHB) is a major Russian state-owned universal commercial bank that provides a full range of banking and financial services. It is especially known for its leading role in financing Russia’s agribusiness sector and serving retail, corporate, and agricultural clients.