At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

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

Johnson & Johnson Innovative Medicine R&D; Data Science and Digital Health is recruiting for a

Senior

Engineer -- 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://innovativemedicine.jnj.com/

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

#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

📌 Sr Engineer – GenAI Quality Assurance (Madrid)
🏢 Tamarind Intelligence
📍 Madrid