Senior AI Engineer & Data Scientist Generative & Agentic AI

EPAM Systems; Greater London; Hybrid; GBP 54,000 - 94,000; Full time

Job summary

EPAM Systems in London, United Kingdom, is seeking a Senior AI/Data Scientist to join our Data & AI Practice. The role focuses on building production-grade Generative AI, Agentic AI, and advanced data science solutions for complex business problems.

You will design and deliver production-ready AI applications that transform client capabilities across industries, with exposure to high-growth challenges in a hybrid work setting.

Qualifications

• Bachelor's or Master's in CS/DS or related field with 4+ years experience, or a PhD 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 such as LangGraph, CrewAI, AutoGen, and Semantic Kernel.
• Familiarity with orchestration strategies like planner/executor and tool-calling workflows.
• Knowledge of MCP, A2A protocols, and OpenAPI-based integration methods.
• Strong experience with cloud environments, ideally Azure, including Azure OpenAI, AI Foundry, and AI Search.
• Competence in containerized deployments, CI/CD, and MLOps tooling such as MLFlow and Airflow.
• Experience with Microsoft Agent Framework and Azure AI Agent Service.
• Knowledge of vector databases such as Pinecone, Weaviate, Qdrant, and Milvus.
• Familiarity with guardrail and AI safety techniques, including output filtering and prompt injection defense.
• Experience in distributed systems, event-driven architectures, and workflow engines.
• Prior involvement in training, fine-tuning, or experimenting with foundation models.

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 such as Langfuse, Arize, and Grafana to ensure system reliability.
• Contribute to solution architecture, best engineering practices, and documentation.

Skills

Python

APIs

microservices

Generative AI

Agentic AI

LLM concepts

Prompt design

multi-agent systems

distributed systems

production APIs

Education

PhD or MS/BS in CS/DS or related field

Tools

Azure

Azure OpenAI

AI Foundry

AI Search

Langfuse

MLflow

Airflow

Grafana

OpenAPI

REST

gRPC

Python

Weaviate

Pinecone

Milvus

Job description

EPAM Systems in London, United Kingdom, is seeking a Senior AI/Data Scientist to join our Data & AI Practice. The role focuses on building production-grade Generative AI, Agentic AI, and advanced data science solutions for complex business problems.

You will design and deliver production-ready AI applications that transform client capabilities across industries, with exposure to high-growth challenges in a hybrid work setting.