AI Engineer - Data specialist

EPAM Systems

London, England, UKfulltimeSoftware Development and IT Services and IT Consultingposted 11 Aug
Unlock apply linkApply links and the original listing are a Pro feature: £4.99/mo or £25 once.
We're looking for a Senior AI Engineer – Data \& AI Practice to join our team in London, UK, in a hybrid working mode. In this role, you will design and develop enterprise-scale AI applications leveraging Generative AI, Agentic AI and Retrieval-Augmented Generation (RAG) patterns. You will work on multi-agent orchestration, build reusable frameworks and deploy production-ready solutions that integrate advanced language models into business environments. This position requires a hands-on engineer who can combine technical expertise in AI platforms, distributed systems and data pipelines with effective collaboration skills. If you have a passion for deploying next-generation AI systems that deliver measurable business value, this is an opportunity to make an impact on innovative, enterprise-level AI capabilities. Responsibilities * Design, build and deploy Generative AI and Agentic AI solutions from prototype to production * Develop and optimize RAG pipelines including embeddings, hybrid search, prompt engineering and evaluation frameworks * Implement AI agents using frameworks such as LangChain, LangGraph and AutoGen, integrating tools and enterprise workflows * Apply modern AI engineering practices, ensuring reproducibility and production readiness in dynamic environments * Integrate solutions with enterprise data platforms and cloud services, focusing on scalability and governance standards * Leverage tools like Databricks, MLflow and Azure OpenAI for experimentation and deployment * Apply DevOps best practices across CI/CD workflows, containerization and automated testing for robust delivery * Design and maintain observability and monitoring solutions for AI systems using tools such as Langfuse or Arize * Partner with stakeholders to align technical execution with business outcomes and provide technical guidance during architecture discussions * Support team knowledge sharing and mentor engineers on AI best practices and delivery standards Requirements * Bachelor’s or Master’s degree in Computer Science, Engineering or related field; PhD is a plus * Proven hands-on experience with Generative AI frameworks, LLMs and agentic architectures * Strong practical knowledge of Databricks ecosystem including Delta Lake, Delta Live Tables and governance features * Proficiency in Python and working familiarity with SQL or Scala * Experience implementing RAG architectures and streaming solutions for AI pipelines * Deployment expertise on Azure or multi-cloud environments and familiarity with containerization tools such as Docker * Knowledge of AI observability and evaluation solutions for monitoring and performance tuning * Strong understanding of MLOps, CI/CD practices and infrastructure automation in AI engineering contexts * Demonstrated ability to lead small teams and communicate effectively across technical and non-technical stakeholder groups * Experience managing end-to-end delivery from experimentation through production deployment in enterprise contexts Nice to have * Familiarity with vector databases such as Pinecone, Weaviate or Milvus * Knowledge of AI governance protocols including safety guardrails and injection-prevention techniques * Background working with event-driven architectures or distributed systems * Experience fine-tuning or training foundational models and applying advanced prompt engineering techniques We offer * EPAM Employee Stock Purchase Plan (ESPP) * Protection benefits including life assurance, income protection and critical illness cover * Private medical insurance and dental care * Employee Assistance Program * Competitive group pension plan * Cyclescheme, Techscheme and season ticket loans * Various perks such as free Wednesday lunch in-office, on-site massages and regular social events * Learning and development opportunities including in-house training and coaching, professional certifications, and courses * If otherwise eligible, participation in the discretionary annual bonus program * If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program