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. ResponsibilitiesDesign and build the core RAG pipeline including document ingestion and vector embedding creationDevelop backend logic to handle user queries and construct context-rich prompts for LLMImplement and refine prompt engineering techniques to improve response accuracy and relevanceCollaborate on scalable data preprocessing and cleansing pipelines for LLM consumptionDevelop and execute model evaluation scripts and perform tuning to enhance AI performanceIntegrate LLM solutions with user interfaces ensuring secure and efficient API communicationMonitor and optimize solution performance focusing on response latency and cost-efficiencyTroubleshoot complex issues within distributed AI systemsCoordinate with cross-functional teams to align AI solutions with project goalsDocument development processes and maintain code quality standardsStay updated with latest GenAI technologies and best practicesSupport deployment and scaling of AI models in cloud environments RequirementsMinimum 3 years of professional experience in GenAI or AI developmentProven experience developing applications using Large Language Models and orchestration frameworksStrong understanding of Retrieval-Augmented Generation architecture and vector databasesExpert-level programming skills in Python and data science librariesExperience developing and consuming RESTful APIsSolid knowledge of data engineering principles and cloud data pipelinesStrong analytical and problem-solving skillsAbility to troubleshoot complex distributed AI systemsExperience with Python data ecosystem, such as Pandas and NumPyGood communication skills and teamwork orientationEnglish proficiency at B2 level or higher Nice to haveFamiliarity with Snowflake platform and cloud data servicesKnowledge of Snowflake Cortex AI and Vector Data TypesExperience with Snowpark development environment We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn