#vacancy #TechLead #NLP #LLM #DataScience #Python #FinTech #RSHB

Tech Lead NLP / LLM at Rosselkhozbank (RSHB) 🌾🤖

Salary: up to 420,000 RUB net. Citizenship/Location: RF. Format: Remote. We are looking for a strong Technical Lead with deep expertise in Natural Language Processing and Large Language Models to join Rosselkhozbank's NLP team. You will lead a team of engineers and researchers, define the architectural direction and tech stack for the bank's AI solutions, and manage key projects: from creating smart LLM assistants to advanced conversational agents and intelligent search systems. 🚀 Responsibilities: • Team Leadership: Managing NLP engineers and researchers (planning, task prioritization, code reviews, quality control of architectural solutions). • Architecture and Tech Stack: Defining the technology stack for the LLM/NLP domain (Fine-tuning, LoRA, RAG, Prompt Engineering, LangChain/LangGraph, vector databases). • Leading Key Projects: Developing LLM assistants, intelligent knowledge base search systems, document generation, and semantic analysis. • Business Synchronization: Interacting with clients and related IT teams, translating business requirements into technical language, task decomposition. • Expertise Development: Mentoring, implementing Best Practices, and knowledge sharing within the team. 🎯 Our Expectations: • 5+ years of commercial experience in NLP/LLM, with at least 3 years in a Technical Lead role. • Deep understanding of ML algorithms, LLM architecture, and retrieval-based systems (Transformers, Attention, RAG, SFT, LoRA/Adapters). • Proficiency in Python and the relevant tech 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 business interaction skills and experience leading a product team. 🌟 Bonus Points: • Experience building production-ready RAG systems based on PostgreSQL / ClickHouse / OpenSearch + vector engines. • Experience in seamless integration of LLMs with corporate banking systems and BI platforms. • Knowledge of LLM monitoring tools (latency, quality, cost metrics). 📲 Contact for application: @hrwomenpro (Please indicate ID: TLN_NDA)