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Open nowPosted 8 hours ago

Lead AI Quality Engineer & Test Automation Architect

pasiona36 open roles

Where
Barcelona
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Your applicationOpen nowLead AI Quality Engineer & Test Automation Architectpasiona · Barcelona

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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. pasiona postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 8 hours ago

pasiona median: 2 days open

The posting

Descripción del puesto / Funciones

  • Design and execute end-to-end testing strategies specifically tailored for Machine Learning models, Generative AI systems, RAG architectures, and Autonomous Agents.
  • Validate model accuracy, fairness, bias detection, explainability, robustness, and performance across diverse and edge-case datasets.
  • Execute adversarial testing, prompt-injection, jailbreaking, and red-teaming to evaluate prompt robustness and behavioral variations under stress.
  • Validate agentic workflows, including multi-step reasoning paths, state transitions, tool execution, and fallback behaviors during service failures.
  • Evaluate LLM outputs for correctness, grounding, factuality, consistency, safety, and hallucination reduction.
  • Assess vector store behavior, document chunking logic, retriever configurations, and semantic search accuracy.
  • Conduct API, performance, latency, throughput, and concurrency testing on AI inference endpoints and data pipelines.
  • Ensure compliance with AI ethics, data privacy laws, business rules, and insurance regulatory guidelines, maintaining audit-ready test evidence and behavioral reports.
  • Define AI quality KPIs, establish test governance, and build automated testing frameworks integrated into CI/CD pipelines.
  • Collaborate closely with Data Scientists, ML Engineers, SMEs, and DevOps teams while mentoring junior QA engineers and creating reusable test accelerators.

Requisitos mínimos

  • Experience & Specialization: Proven senior/lead expertise in software quality engineering with a dedicated focus on AI/ML systems and GenAI applications.
  • Programming & Automation: Advanced proficiency in Python for test automation, data validation, and custom AI testing scripts.
  • GenAI & RAG Ecosystems: Hands-on experience with GenAI frameworks, vector databases, chunking strategies, and retrieval evaluation.
  • Model Evaluation & Metrics: Deep understanding of data validation, model evaluation metrics, fairness/bias testing, and drift detection (data and concept drift).
  • API Testing: Expertise in testing AI services and model endpoints using tools such as Postman, REST Assured, or Python REST clients.
  • DevOps, Cloud & Infrastructure: Experience with CI/CD pipelines for continuous testing integration. Exposure to cloud platforms hosting AI deployments. Working knowledge of containerization and orchestration environments (e.g., Docker, Kubernetes). Familiarity with Big Data ecosystems for large-scale AI testing.
  • Security & Governance: Experience in AI ethics, compliance testing, observability tools, and security testing for data pipelines and model-serving endpoints.

Requisitos valorables

  • Advanced Red Teaming: Hands-on experience building automated adversarial test suites and automated synthetic data generation for rare edge cases.
  • Framework Automation: Direct implementation of specialized LLM evaluation frameworks (e.g., Ragas, DeepEval, TruLens).
  • Observability Setup: Advanced configuration of AI monitoring dashboards and automated regression testing workflows for retrained models.

Idiomas

English is a must

Ubicación

Barcelona

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