Quality Engineer

EPAM Systems; Greater London; On-site; GBP 60,000 - 85,000; Full time

Benefits offered by this job

ESPP

Life protection & income protection

Private medical insurance & dental

Employee Assistance Program

Pension plan

Job summary

EPAM Systems in London is seeking a Quality Engineer to join onsite, focusing on AI-driven enterprise projects and Model Context Protocol integration. You will develop automated testing frameworks, evaluation pipelines, and quality controls for MCP components within our AI platform.

You will work in a Classic Agile environment to guarantee reliability, accuracy, and performance of agent-driven workflows in enterprise-scale systems, defining testing standards for AI models and tools in

Qualifications

• Experience in quality engineering for AI-enabled platforms.
• Familiarity with test automation frameworks and evaluation pipelines.
• Understanding of Agile delivery and CI/CD integration for quality checks.

Responsibilities

• Develop automated testing frameworks for MCP components and AI systems.
• Design evaluation strategies for LLM accuracy, safety, and reliability.
• Create automated tests using Python and Pytest; apply BDD approaches.
• Implement quality gates in CI/CD pipelines to ensure ongoing quality.
• Collaborate with engineers, QA, and product teams to define quality metrics.

Skills

QA automation mindset

Agile collaboration

CI/CD awareness

LLM evaluation concepts

Problem solving

Tools

Python

Pytest

Behave / Cucumber

Job description

We're looking for a Quality Engineer to join EPAM in London, in an onsite working mode, contributing to an AI-driven enterprise project for one of our clients. This role focuses on exposing internal enterprise tooling to AI agents via Model Context Protocol (MCP), ensuring robust quality engineering and compliance across innovative intelligent automation solutions.

As a Quality Engineer, you will be responsible for developing automated testing frameworks, evaluation pipelines, and quality controls for MCP Components within our AI platform. You will work closely with engineering and product teams in a Classic Agile environment to guarantee the reliability, accuracy, and performance of agent-driven workflows operating in enterprise-scale systems. This position offers a chance to define standards for testing AI models and tools in production-like environments while being a critical part of one of EPAM’s most transformative projects.

Responsibilities

• Develop automated testing frameworks to validate MCP Servers and related AI systems
• Design and implement evaluation strategies for LLM accuracy, safety, and reliability
• Create automated tests using Python, Pytest, and BDD frameworks
• Build quality gates into CI/CD pipelines to maintain continuous assurance
• Identify and address agentic AI failure modes such as hallucination, latency, and incorrect tool usage
• Collaborate with engineering, QA, and product teams to define quality metrics and acceptance criteria
• Contribute to Agile ceremonies, ensuring testing practices align with sprint goals
• Prepare detailed reporting on quality outcomes and improvement opportunities
• Maintain documentation for test cases, evaluation pipelines, and validation strategies

Requirements

• Strong programming experience in Python applied to test automation and evaluation
• Expertise in Pytest and familiarity with BDD frameworks such as Behave or Cucumber
• Knowledge of LLM evaluation approaches including RAGAS, DeepEval, or custom pipelines
• Understanding of common agentic AI issues such as hallucination, tool misuse, and performance bottlenecks
• Familiarity with automated testing of AI workflows, distributed systems, or microservices environments
• Strong grasp of Agile delivery methodologies and CI/CD integration for quality checks
• Excellent communication and problem-solving skills with a focus on accuracy and reliability

Nice to have

• Experience with Model Context Protocol (MCP) or other agent orchestration solutions
• Exposure to observability, monitoring, or logging tools for AI systems
• API and service integration testing background for multi-layered platforms
• Knowledge of containerized environments and cloud-native architecture
• Background in enterprise AI automation projects or intelligent platform engineering

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