At a Glance
- Tasks: Design and develop cutting-edge AI solutions to tackle real-world business challenges.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Dynamic team culture with exciting projects and professional development.
- Why this job: Be part of a high-growth environment pushing the boundaries of AI technology.
- Qualifications: 4+ years in AI or Data Science with strong Python and API skills.
The predicted salary is between 70000 - 90000 € per year.
We're looking for a Senior AI Engineer / Data Scientist to join our team in London, United Kingdom, in a hybrid working mode. This role is at the core of EPAM’s Data & AI Practice and focuses on building state-of-the-art Generative AI, Agentic AI, and advanced data science solutions for real-world business problems. You’ll design and develop multi-agent systems, implement RAG pipelines, and deliver production-ready AI applications that transform client capabilities across multiple industries. If you're passionate about pushing the frontiers of LLMs, orchestration frameworks, and scaling AI systems into production, this opportunity offers a high-growth environment and cutting-edge challenges.
Responsibilities
- Design, build, and deploy Generative AI and Agentic AI solutions from prototyping through production
- Develop and optimize multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, and Semantic Kernel
- Implement orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflows
- Design and build RAG pipelines, including embeddings, chunking, hybrid search, and retrieval evaluation for enterprise data grounding
- Develop orchestration engines supporting multi-step planning, delegation, and fallback paths for agent workflows
- Implement integration and communication patterns via MCP, A2A, OpenAPI, REST, and gRPC
- Build production-grade Python APIs and microservices integrating with enterprise systems and AI services
- Apply observability and monitoring solutions (Langfuse, Arize, Grafana) to ensure system reliability
- Contribute to solution architecture, best engineering practices, and documentation
Requirements
- Bachelor’s/Master’s in Computer Science, Data Science, or related field with 4+ years’ experience, or Ph.D. with relevant experience
- Strong engineering experience with Python, APIs, microservices, debugging, and code review
- Proven experience building and deploying Generative AI or Agentic AI applications in production
- Deep understanding of LLM concepts, RAG patterns, prompt design, and evaluation methodologies
- Experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)
- Familiarity with orchestration strategies like planner/executor and tool calling
- Knowledge of MCP, A2A protocols, and OpenAPI-based integration methods
- Strong experience with cloud environments, ideally Azure (Azure OpenAI, AI Foundry, AI Search)
- Competence in containerized deployments, CI/CD, and MLOps tooling (MLFlow, Airflow)
Nice to have
- Experience with Microsoft Agent Framework, Azure AI Agent Service
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant, Milvus)
- Familiarity with guardrail and AI safety techniques (output filtering, prompt injection defense)
- Experience in distributed systems, event-driven architectures, and workflow engines
- Prior involvement in training, fine-tuning, or experimenting with foundation models
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
Senior AI Engineer / Data Scientist in London employer: EPAM Systems, Inc.
EPAM is an exceptional employer for a Senior AI Engineer / Data Scientist, offering a dynamic hybrid working environment in London that fosters innovation and collaboration. With a strong focus on employee growth, we provide extensive learning and development opportunities, competitive benefits including private medical insurance and a generous pension plan, and a vibrant work culture enriched by regular social events and unique perks like free lunches and on-site massages. Join us to push the boundaries of AI technology while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer / Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and multi-agent systems. This gives us a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We love seeing how you tackle real-world challenges, so practice coding problems and system design.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to push the boundaries of AI.
We think you need these skills to ace Senior AI Engineer / Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer / Data Scientist role. Highlight your experience with Generative AI, multi-agent systems, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and data science, and explain why you're excited about this opportunity at StudySmarter. Let us know how you can contribute to our team and the innovative work we do.
Showcase Your Projects:If you've worked on any cool projects related to AI or data science, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at EPAM Systems, Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, APIs, and multi-agent orchestration frameworks. Brush up on your knowledge of Generative AI and Agentic AI applications, as well as RAG patterns. Being able to discuss these topics confidently will show that you're not just familiar but truly passionate about the role.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've designed, built, or deployed AI solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will help demonstrate your problem-solving skills and practical experience, which are crucial for this position.
✨Understand the Company’s Vision
Research EPAM’s Data & AI Practice and understand their approach to AI solutions. Familiarise yourself with their recent projects or innovations in the field. Showing that you align with their vision and can contribute to their goals will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and future developments in AI at EPAM. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
