Senior GenAI LLM Developer (Python)

Join our dynamic team as a **Senior GenAI LLM Developer** , where you will lead the development of Retrieval\-Augmented Generation pipelines and optimize AI model performance. Collaborate closely with AI analysts and DevOps to deliver cutting\-edge AI solutions. Apply now to contribute to transformative AI technology for our clients.   **Responsibilities** * Design and build the core RAG pipeline including document ingestion and vector embedding creation * Develop backend logic to handle user queries and construct context\-rich prompts for LLM * Implement and refine prompt engineering techniques to improve response accuracy and relevance * Collaborate on scalable data preprocessing and cleansing pipelines for LLM consumption * Develop and execute model evaluation scripts and perform tuning to enhance AI performance * Integrate LLM solutions with user interfaces ensuring secure and efficient API communication * Monitor and optimize solution performance focusing on response latency and cost\-efficiency * Troubleshoot complex issues within distributed AI systems * Coordinate with cross\-functional teams to align AI solutions with project goals * Document development processes and maintain code quality standards * Stay updated with latest GenAI technologies and best practices * Support deployment and scaling of AI models in cloud environments   **Requirements** * Minimum 3 years of professional experience in GenAI or AI development * Proven experience developing applications using Large Language Models and orchestration frameworks * Strong understanding of Retrieval\-Augmented Generation architecture and vector databases * Expert\-level programming skills in Python and data science libraries * Experience developing and consuming RESTful APIs * Solid knowledge of data engineering principles and cloud data pipelines * Strong analytical and problem\-solving skills * Ability to troubleshoot complex distributed AI systems * Experience with Python data ecosystem, such as Pandas and NumPy * Good communication skills and teamwork orientation * English proficiency at B2 level or higher   **Nice to have** * Familiarity with Snowflake platform and cloud data services * Knowledge of Snowflake Cortex AI and Vector Data Types * Experience with Snowpark development environment   **We offer** * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000\+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn