Python QA Automation Engineer

EPAM Systems; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

ESPP

Private medical insurance

Dental care

Employee Assistance Program

Pension plan

CycleScheme

Techscheme

Season ticket loans

In-office lunches

Massages

Job summary

EPAM Systems in London is seeking a Python QA Automation Engineer to join an onsite team, contributing to an AI-driven enterprise project. You will develop automated testing frameworks and evaluation pipelines for MCP components within our AI platform, ensuring robust quality and compliance across intelligent automation solutions.

You will work with engineering and product teams in a Classic Agile environment to guarantee reliability and performance of agent-driven workflows in enterprise-scale

Qualifications

• 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 and AI testing concepts.
• Experience in testing AI workflows, distributed systems, or microservices.

Responsibilities

• Develop automated testing frameworks to validate MCP Servers and AI systems.
• Design evaluation strategies for AI model accuracy, safety, and reliability.
• Create automated tests using Python, Pytest, and BDD frameworks; integrate into CI/CD.
• Collaborate with engineering, QA and product teams to define quality metrics and acceptance criteria.
• Maintain documentation for test cases, evaluation pipelines, and validation strategies.

Skills

Python programming

Test automation

Agile delivery

Communication

Tools

Pytest

Behave/Cucumber

CI/CD

Containers

Job description

We're looking for a Python QA Automation 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 Python QA Automation 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