Sr Engineer – GenAI Quality Assurance

Sr Engineer – GenAI Quality Assurance at Johnson & Johnson scores 88 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Cornellà de Llobregat, Barcelona, SpainmidFull time

AI in this role

openaianthropicgeminibedrock

ragml-ops

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

Job Description:

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

#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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagMl OpsOpenAIAnthropicGeminiBedrock

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you monitor a model once it's live, and how do you know it needs retraining?
What are the limits of OpenAI that you've run into, and how did you work around them?
What's a project where you used Anthropic hands-on?
Walk me through how you've used Gemini in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Rag, Ml Ops, OpenAI, Anthropic, and Gemini. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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