Are you passionate about Natural Language Processing and Generative AI? Do you enjoy collaborating with both technical and business teams to turn innovative ideas into impactful solutions? Can you communicate complex concepts clearly and drive research that delivers real business value? If so, we have an exciting opportunity for an AI Engineer/Data Scientist to join EPAM’s AI Consulting team, focusing on cutting-edge R&D in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and domain-specific GenAI applications.If you’re ready to push the boundaries of NLP and GenAI and want to make a tangible impact, we’d love to hear from you! ResponsibilitiesDesign, implement and maintain scalable NLP and GenAI pipelines including data processing, preprocessing and evaluationConduct advanced data analysis on real-world datasets to extract actionable insights and support decision-makingStay current with the latest research in LLMs and NLP, proposing new ideas and methodologies to unlock business valueDevelop and optimize RAG systems and retrieval pipelines including chunking, embedding, re-ranking and evaluationLead and contribute to experiments by designing experimental details, writing reusable code, running evaluations and organizing resultsCollaborate with cross-functional teams to prioritize research that directly benefits key internal use cases and productsWork closely with stakeholders, project managers and architects to gather requirements, plan project scopes and deliver projects on time RequirementsMSc with 5+ years of experience or Ph.D. in computer science, electrical engineering or a related technical fieldDeep understanding of NLP, LLMs, transformer architectures, prompt engineering, RAG and evaluation methodologiesStrong Python programming skills for developing and debugging AI modelsHands-on experience building and evaluating RAG and GenAI systems in production-like environmentsExperience training, fine-tuning or experimenting with foundation modelsTrack record of contributions to publications or open-source projectsExcellent communication skills and a collaborative mindsetExperience mentoring or collaborating with other researchersStrong interest in cross-disciplinary collaboration to support impactful researchAbility to work effectively across teams and deliver projects within agreed timelines We offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much moreIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program*All benefits and perks are subject to certain eligibility requirements