Overview

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In this role you will design, test, and refine GenAI-powered workflows and pipelines within Innovative Medicine R&D.; You will validate and stress-test AI systems across the lifecycle, partnering with scientists and developers to embed quality checkpoints. Your work ensures reliable, safe, and scalable GenAI solutions that support research and pre/post-release activities. This position offers hybrid, Madrid or Barcelona-based work and the chance to shape AI-enabled healthcare innovations.

Responsabilidades

Design and implement automated and manual QA strategies for GenAI systems

Build regression tests, generate synthetic test data, create 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, promoting architecture reliability for GenAI applications

Collaborate with data scientists and developers to embed testing and quality checkpoints

Establish testing standards and workflows for CI/CD

Conduct code reviews focusing on design,



testability and maintainability

Document design decisions, test cases, and best practices

Collaborate with domain experts and stakeholders to validate solutions

Requisitos principales

Strong software engineering background with QA ownership

3+ years as software engineer or QA in production systems (5+ preferred)

Advanced Python skills

Experience with LLM-based systems in real environments

Hands-on with LLM APIs

Experience with AWS Bedrock, Azure Foundry, GCP Gemini

Cloud platforms knowledge (AWS, Azure, GCP)

Proven ability to implement test frameworks for GenAI xugodme applications

Knowledge of API testing, data validation, and data pipeline testing

Version control experience (Git)

Experience deploying AI/ML products through full lifecycle

Good understanding of scientific computing and ML frameworks

Understanding of safety, bias, and failure modes in GenAI

Ability to work independently and as part of a team

Nice-to-have: Jenkins, SonarQube, Prometheus, Grafana, Docker

Proactive problem-solver

Strong collaboration with cross-functional teams

Adaptability in fast-moving environments

LLMs

Python

API testing

📌 Sr Engineer – GenAI Quality Assurance (Barcelona)
🏢 Jobrapido
📍 Barcelona