Responsibilities Design and implement automated and manual QA strategies for GenAI systems
Build regression tests, generate synthetic test data, build test harnesses and evaluation pipelines for accuracy
Validate prompt logic, model behavior and evaluation metrics
Execute tests and debug pipelines
Support deployment of GenAI products
Lead system design reviews
Collaborate closely with data scientists and developers
Establish testing standards and workflows for continuous integration and deployment
Conduct code reviews and document system design decisions
Requirements 3+ years of experience as a software engineer
Familiarity with RAG & Graph frameworks
5+ years of experience in production systems
1+ year experience in GenAI systems
Advanced Python skills




Experience with LLM-based systems
Hands‐on experience with: LLM APIs, AWS Bedrock, Azure Foundry, GCP
Proven ability to implement test frameworks
Knowledge of API testing, data validation, data pipeline testing
Experience with version control (Git)
Core Competencies Demonstrates expertise in designing and implementing QA strategies for GenAI systems, with advanced skills in Python and experience in LLM-based systems. Proficient in establishing testing standards, conducting code reviews, and collaborating with cross‐functional teams to ensure product quality.
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📌 Senior Engineer – GenAI Quality Assurance (Cornellà de Llobregat)
🏢 Jobtailor
📍 Cornellà de Llobregat