Quality Engineer

Location:

London; UKWork type:
Office Seniority:
Middle Primary skill:
Automated Testing in Python Posted:
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, Deep Eval, 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 offerEPAM 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 Cycle scheme, 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
* All benefits and perks are subject to certain eligibility requirements