Senior GenAI Quality Assurance Engineer en España - Jobeax
Descripción de la vacante
Senior GenAI Quality Assurance Engineer en España
HíbridoCombinación de oficina y remoto
Tiempo completoJornada semanal estándar
Full-time hours
Spain
Senior GenAI Quality Assurance Engineer en España is listed on Jobeax. Browse 80,000+ vacancies available.
About the job
Job Function
R&D Product Development
Job Sub Function
R&D Machine Learning
Job Category
Scientific/Technology
All Job Posting Locations
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain
Job Description
Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a SeniorEngineer - GenAI Quality Assurance. This role can be based in Madrid or Barcelona. Hybrid working.
J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://jobeax.com/link/nbHBSGX6tOLKlBoq
Description: We're hiring a professional who specializes in designing, testing, and refining complex GenAI applications, primarily in scientific or ML-driven environments. You'll be responsible for validating, stress-testing, and improving Gen-AI powered products (pipelines and AI-assisted workflows) across the product lifecycle - from pre-deployment validation to post-release monitoring.
Key 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, grounding, robustness, safety
Validate prompt logic, model behavior and evaluation metrics
Execute tests and debug pipelines
Support deployment of GenAI products
Lead system design reviews, advocating best practices for architecture and reliability of GenAI applications
Collaborate closely with data scientists and developers to embed testing and quality checkpoints
Establish testing standards and workflows for continuous integration and deployment
Conduct code reviews with a focus on design, testability, and maintainability
Document system design decisions, test cases, and best practices
Close collaboration with domain experts and stakeholders to validate developed solutions
Technical Skills & Experience Needed
Strong software engineering background with QA ownership
Familiarity with RAG & Graph frameworks
3+ years of experience as a software engineer (preferably 5), or QA engineer in production systems, preferably including at least 1 year experience in GenAI systems
Advanced Python skills
Experience working with LLM-based systems in real environments
Hands-on experience with:
LLM APIs
AWS Bedrock (Anthropic & OSS)
Azure Foundry (OpenAI)
GCP (Gemini)
Cloud platforms (AWS, Azure, GCP)
Proven ability to implement test frameworks for GenAI applications
Knowledge of API testing, data validation, and data pipeline testing
Experience with version control (Git)
Experience with building and deploying AI/ML products through the full product lifecycle
Good understanding of scientific computing and ML frameworks
Solid understanding of safety, bias, and failure modes of GenAI systems
Comfortable working in a relatively fast-moving environment where priorities may shift and initiative is valued
Proactive problem-solver who can anticipate needs and find solutions
Comfortable working independently, but also a strong team player
Nice-to-Have
Experience with Jenkins, Sonarqube
Monitoring and observability tools (Prometheus, Grafana etc)
Devops experience (docker, jenkins)
Experience deploying GenAI services to production at scale
Exposure to ML Ops or production ML systems
#LI-GR
#LI-Hybrid
#JRDDS #JNJDataScience #JRD
Required Skills
Large Language Models (LLMs), Microsoft Foundry, OpenAI, Python (Programming Language), Software Quality Assurance (SQA)
Preferred Skills
Artificial Intelligence (AI), Coaching, Cognitive Computing, Critical Thinking, Cross-Functional Collaboration, Curious Mindset, Data Structures, Distributed Computing, Emerging Technologies, Human-Computer Relationships, Machine Learning (ML), Persistence and Tenacity, Program Management, Research and Development, SAP Product Lifecycle Management, Scripting Languages, Technologically Savvy
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