AI Assurance Quality Engineer
UK Visa Sponsorship Analytics
Occupation Type
Quality control and planning engineers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
We are building and scaling AI-enabled digital products that integrate Large Language Models (LLMs), data pipelines, and modern cloud-native services. This role offers the opportunity to embed AI assurance practices early in the product lifecycle, ensuring AI features are reliable, measurable, and responsibly governed before reaching production.
As a AI Assurance Quality Engineer, you will support the validation of AI-generated outputs, structured and unstructured data flows, and automation frameworks. You will work closely with engineering, data, and product teams to operationalize repeatable AI testing practices and contribute to responsible AI delivery.
This is an entry-level growth role within a modern AI engineering environment, combining software testing, data validation, and AI evaluation techniques.
Key Responsibility
As a AI Assurance Quality Engineer, you will support the validation of AI-generated outputs, structured and unstructured data flows, and automation frameworks. You will work closely with engineering, data, and product teams to operationalize repeatable AI testing practices and contribute to responsible AI delivery.
This is an entry-level growth role within a modern AI engineering environment, combining software testing, data validation, and AI evaluation techniques.
Key Responsibility
- Execute test cases to validate AI-generated outputs (accuracy, relevance, hallucination detection, bias indicators)
- Support testing of Retrieval-Augmented Generation (RAG) workflows and prompt templates
- Perform API and data validation testing (JSON, structured datasets, model responses)
- Contribute to automated regression test scripts for AI-enabled features
- Strong understanding of software testing fundamentals (functional and non-functional testing)
- Good knowledge of API testing and data validation techniques
- Good proficiency in Python or JavaScript for test scripting
- Basic understanding of AI/LLM concepts and prompt-based systems
- Strong analytical skills with attention to detail when reviewing AI outputs
- Good written communication skills for documenting defects and risks
- Familiarity with Git version control workflows
- Certified in Azure AI
- Exposure to automation frameworks (Playwright, Cypress or similar).
- Understanding of Retrieval-Augmented Generation (RAG) concepts
- Familiarity with cloud environments (AWS, Azure, or GCP)
- Awareness of Responsible AI principles (bias detection, explainability, fairness)
- Degree in Computer Science, Software Engineering, Data Science, or related discipline; or equivalent practical experience.
- Demonstrated interest in AI systems, data quality, or automation testing