Senior AI Engineer – Generative & Agentic Systems

EPAM Systems; United Kingdom; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

EPAM Systems in London is seeking a Senior AI Engineer – Agentic AI to design, build and deploy Generative AI and agentic solutions in a hybrid London setting. You will implement orchestration patterns, develop RAG pipelines and memory management, and deliver robust Python APIs within production-grade environments.

The role requires hands-on experience with agent frameworks, embeddings, and vector databases, plus cloud deployment (Azure) with Docker and Kubernetes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering or related field (PhD is a plus).
• Experience delivering Generative AI or Agentic AI systems into production.
• Expertise in Python engineering for APIs, microservices, testing and CI/CD workflows.
• Strong knowledge of LLM capabilities: prompt design, structured outputs, tool calling and retrieval strategies.
• Hands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel).
• Proven experience with RAG implementations, embeddings and vector databases.
• Familiarity with stateful or long-running systems, including checkpointing and resumable workflows.
• Cloud deployment experience (Azure preferred) with Docker and Kubernetes.
• Understanding of schema validation (JSON Schema, Pydantic) and MLOps tools (MLflow, Airflow).
• Strong ability to explain trade-offs around cost, latency and accuracy to diverse audiences.

Responsibilities

• Design, build and deploy Generative AI and Agentic AI solutions from prototype to production.
• Implement multi-agent orchestration patterns using LangGraph, CrewAI, AutoGen, Semantic Kernel or OpenAI Agents SDK.
• Develop orchestration backbone for workflows including planning, checkpointing, retries, fallback handling and resumption.
• Build and optimize RAG pipelines with chunking, embeddings, vector/hybrid search and grounded citations.
• Develop memory and context management solutions including short-term and long-term stores and compaction.
• Write robust Python APIs and services (e.g., FastAPI) with async execution, background jobs and containerized deployments.
• Integrate enterprise systems and tools via MCP, A2A, OpenAPI, REST and gRPC with graceful degradation.
• Apply enterprise security and governance: RBAC, prompt safety checks, traceability, secrets management.
• Implement evaluation pipelines and observability using Langfuse, Arize or OpenTelemetry.
• Contribute to architectural design, code reviews and engineering standards for platform development.

Skills

Python API/microservices

LLM capabilities & prompts

Agent orchestration frameworks

RAG embeddings & vector DB

Stateful/long-running systems

Azure Cloud + Docker/Kubernetes

JSON Schema / Pydantic

MLOps: MLflow / Airflow

Clear communication

Education

Bachelor’s or Master’s in CS/Engineering (PhD a plus)

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

Job description

EPAM Systems in London is seeking a Senior AI Engineer – Agentic AI to design, build and deploy Generative AI and agentic solutions in a hybrid London setting. You will implement orchestration patterns, develop RAG pipelines and memory management, and deliver robust Python APIs within production-grade environments.

The role requires hands-on experience with agent frameworks, embeddings, and vector databases, plus cloud deployment (Azure) with Docker and Kubernetes.