We are looking for a Quality Engineer Lead Expert to lead quality assurance of our AI systems: ML models, LLM-based applications, RAG pipelines and autonomous agents. The role covers functional, non-functional, security and compliance testing in an insurance context. It works closely with AI engineers, data scientists, DevOps teams and SMEs.
Main Responsibilities

Design and execute test strategies for ML models, LLMs and agents (accuracy, fairness, bias, explainability, robustness)
Validate LLM and RAG outputs: grounding, hallucination, retrieval accuracy, vector stores, chunking logic
Run adversarial, prompt-injection and red team testing
Benchmark latency, throughput, concurrency and multi-agent performance; validate fallback and retry logic




Build automated test frameworks for AI/ML pipelines, including synthetic data and regression testing of retrained models
Define model quality KPIs, produce audit-ready evidence and mentor junior testers

Experience Required

Software testing focused on AI systems (ML models, LLMs, agents)
Python for test automation, data validation and AI testing scripts
API, performance and security testing of AI services and model endpoints
AI ethics, data privacy and regulatory compliance testing
Testing AI on cloud platforms and Big Data ecosystems at scale

📌 Quality Manager (Barcelona)
🏢 Square One Resources
📍 Barcelona