PFASuiki is a climate-tech startup with a clear mission: creating a world free from persistent “forever chemicals.” Using advanced electroch…
Overview
We are looking for an AI Automation Tester to support IBM on a major programme of work
The role will focus on designing and executing automated testing across an AI-enabled solution, covering traditional functional and integration testing alongside the additional challenges involved in validating AI-generated responses and behaviours.
You'll work as part of the wider delivery team to ensure the solution is reliable, performs as expected and continues to meet requirements as it develops.
Key Responsibilities
Design, build and maintain automated tests across the AI solution
Execute functional, integration and regression testing
Develop and maintain automated test suites
Perform API testing across integrated services
Validate AI-generated responses and system behaviours
Design appropriate test scenarios for AI functionality
Manage and maintain test data required across different testing activities
Test integrations between the AI solution and wider systems/services
Support performance testing and identify potential issues or bottlenecks
Analyse test results, identify defects and work with technical teams through resolution
Support continuous testing throughout the delivery lifecycle
Ensure appropriate regression coverage as the solution evolves
Work closely with developers, engineers and wider delivery stakeholders
Key Skills & Experience
Test Automation
API Testing
Functional Testing
Integration Testing
Regression Testing
Performance Testing
Automated test frameworks and scripting
Test data management
Continuous testing / CI/CD environments
Defect identification, investigation and management
Experience testing AI, Generative AI or LLM-based solutions would be particularly valuable, including experience evaluating the quality, consistency and accuracy of AI responses.
AI Testing
Alongside traditional automation testing, an important part of the role will be understanding how to effectively test an AI-enabled solution.
AI response evaluation and validation
Testing non-deterministic AI outputs
Developing test scenarios and evaluation criteria for AI responses
Testing AI APIs and integrations
Automated evaluation of AI functionality
Identifying unexpected, inconsistent or inappropriate model responses
Building AI-specific testing into wider automated test suites
Candidates don't necessarily need to come exclusively from an "AI Tester" background, but should have strong automation testing fundamentals and ideally some practical exposure to testing AI/LLM-enabled applications.
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
PFASuiki is a climate-tech startup with a clear mission: creating a world free from persistent “forever chemicals.” Using advanced electroch…
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