Senior AI Engineer / Data Scientist

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

Salary: £54,000 - 94,000 per year

Requirements:

• Bachelors or Masters in Computer Science, Data Science, or a related field with 4+ years experience, or a 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 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

Technologies:

• Agentic AI
• AI
• Airflow
• Azure
• CI/CD
• Cloud
• Fine-tuning
• Grafana
• LLM
• Langfuse
• MCP
• MLflow
• MLOps
• OpenAPI
• Python
• RAG
• REST
• gRPC
• microservices

More:

We are 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 our 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 will design and deliver production‑ready AI applications that transform client capabilities across multiple industries, with the opportunity to work in a high‑growth environment on cutting‑edge challenges.

last updated 36 week of 2026