EPAM Systems
AI Engineer - Data specialist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior AI Engineer – Data & AI Practice
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
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location