Job Description

Become a Lead GenAI LLM Developer in our innovative team, driving the creation of advanced Retrieval-Augmented Generation pipelines and enhancing AI model efficiency.Work closely with AI analysts and DevOps specialists to deliver state-of-the-art AI solutions for our clients. Apply now to play a key role in shaping transformative AI technology. ResponsibilitiesDesign and implement core Retrieval-Augmented Generation pipelines including document ingestion and vector embedding processesDevelop backend systems to manage user inquiries and generate context-rich prompts for LLMsApply and improve prompt engineering methods to boost response precision and contextual relevanceCollaborate on scalable data preprocessing and cleansing workflows tailored for LLM usageCreate and run model evaluation scripts and perform tuning to maximize AI performanceIntegrate LLM solutions with front-end interfaces ensuring secure and efficient API communicationMonitor and enhance solution efficiency focusing on response times and cost-effectivenessResolve complex challenges within distributed AI architecturesCoordinate with multidisciplinary teams to ensure AI solutions meet project objectivesDocument development workflows and uphold high code quality standardsKeep abreast of emerging GenAI technologies and industry best practicesSupport deployment and scalability of AI models in cloud infrastructures RequirementsMinimum 5 years of specialized experience in GenAI or AI developmentProven expertise in developing applications with Large Language Models and orchestration frameworksDeep understanding of Retrieval-Augmented Generation architectures and vector database technologiesExpert programming abilities in Python and proficiency with data science librariesExperience in developing and integrating RESTful APIsStrong knowledge of data engineering concepts and cloud-based data pipelinesExcellent analytical and problem-solving capabilitiesSkilled in troubleshooting intricate distributed AI systemsProficiency with Python data ecosystem tools such as Pandas and NumPyEffective communication skills and a strong team collaboration mindsetEnglish language proficiency at B2 level or above Nice to haveExperience with Snowflake platform and cloud data ecosystemsFamiliarity with Snowflake Cortex AI and vector data typesKnowledge of 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

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