LeverX is looking for Data Scientist

As an Engineer specializing in LLMs, you will be the driving force behind the design and development of next-generation AI applications.

Your expertise will directly impact the creation of state-of-the-art GenAI systems such as chatbots, summarization tools, and retrieval-augmented generation (RAG) solutions tailored to customer data.
Collaborating closely with both technical teams and business stakeholders, you’ll gather requirements, translate complex challenges into scalable solutions, and ensure that our AI offerings not only meet technical benchmarks but also align with strategic business needs.

REQUIREMENTS

• At least 3+ years of experience in Machine Learning Engineering roles, with a focus on NLP/LLMs, generative AI, or related fields.
• Proficiency in Python (e.g., Hugging Face Transformers, LangChain, LlamaIndex, etc.), vector databases (Chroma, Vanna, PGVector) and cloud-based AI services.
• Understanding of LLM evaluation methodologies and can articulate the pros/cons of approaches.
• Upper-Intermediate English with strong client-facing skills — you can lead meetings, clarify requirements, and explain technical trade-offs confidently.

RESPONSIBILITIES

• Architect and implement data processing pipelines for LLM-powered applications, focusing on RAG, text generation, and knowledge extraction from customer data.
• Develop and execute performance evaluation protocols for large language models (LLMs), including the analysis of key metrics and trade-offs for various AI approaches.
• Participate in the end-to-end development of LLM solutions, from requirements gathering and prototyping PoCs to deploying scalable APIs and microservices.
• Stay ahead of AI advancements by researching and adopting emerging techniques like fine-tuning, prompt engineering, and multimodality.

Please send your CV to the following email address: lizaveta.trushnikava@leverx.com