Generative AI Data Engineer (RAG) New

Description

Job Summary: We are seeking a Generative AI Data Engineer (RAG) to design, implement, and maintain RAG solutions, optimize data pipelines, and manage vector databases. Key Highlights: 1. Design and implement RAG solutions for large volumes of documents. 2. Optimize data ingestion and processing pipelines (ETLs). 3. Manage vector databases and their lifecycle. At EPAM NEORIS, we believe transformation begins with people. Today, as part of EPAM, we expand our global reach and capabilities while preserving what matters most: a culture where every individual can grow, contribute, and take center stage. We do not merely fill positions—we seek talent eager to surpass themselves, continuously learn, and leave a mark on every project. We are a diverse, inclusive, and constantly evolving team. We drive ideas—not hierarchies. We invest in the genuine development of each person. If you want to work in a place where your growth matters as much as results, we are looking for you. Backed by over 60,000 professionals across 55+ countries and a robust Nearshore model, we connect global capabilities with local trust to deliver real impact, sustainable growth, and high-value outcomes for our clients. **We are looking for: Generative AI Data Engineer (RAG)** **Key Responsibilities:** * Design, implement, and maintain RAG-based solutions for large volumes of documents * Develop and optimize data ingestion and processing pipelines (ETLs) * Define and manage vector databases and their lifecycle * Optimize chunking, prompting, and information retrieval strategies * Ensure secure handling of sensitive information * Implement reranking techniques and relevance enhancement in search systems **Requirements:** **Mandatory:** * Minimum 3 years of experience in similar roles * Proven experience in handling and processing large volumes of documents * Experience in defining, implementing, and maintaining vector databases (RAG) * Solid knowledge of handling sensitive information * Experience in developing ETL processes * Experience in optimizing chunking and prompting * Knowledge of reranker techniques **Desirable:** * Knowledge of caching strategies and resource optimization * Experience with modern AI frameworks * Knowledge of fine\-tuning LLMs or SLMs * Experience with graph databases (GraphRAG or KAG) * Experience with Spark or PySpark **We Offer** * Permanent contract with competitive salary * Flexible working arrangements and remote work options * Personalized career plan and continuous training * Participation in stable, highly technical projects * Flexible working hours and focus on work-life balance * Social benefits tailored to your needs We invite you to learn more about us at http://www.neoris.com, Facebook, LinkedIn, Twitter, or Instagram: @NEORIS. \#LI\-MM1