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Generative AI Engineer

hace 3 semanas

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Founded in 2019, our client had grown into one of Europe's most recognized deep-tech scale-ups, backed by major global strategic investors and EU innovation funds.

Their quantum and AI technologies had already transformed how enterprise clients built and deployed intelligent systems — achieving up to 95% model compression and 50–80% inference cost reduction.

The company was recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, often described as a "quantum–AI unicorn in the making."

Role Highlights

The AI Evaluation Data Scientist was responsible for:

  • Designing and leading evaluation strategies for Agentic AI and RAG systems, translating complex workflows into measurable performance metrics.
  • Developing multi-step task-based evaluations to capture reasoning quality, factual accuracy, and end-user success in real-world scenarios.
  • Building reproducible evaluation pipelines with automated test suites, dataset tracking, and performance versioning.
  • Curating and generating synthetic and adversarial datasets to strengthen system robustness.
  • Implementing LLM-as-a-judge frameworks aligned with human feedback.
  • Conducting error analysis and ablations to identify reasoning gaps, hallucinations, and tool-use failures.
  • Collaborating with ML engineers to create a continuous data flywheel linking evaluation outcomes to product improvements.
  • Defining and monitoring operational metrics such as latency, reliability, and cost to meet production standards.
  • Maintaining high standards in engineering, documentation, and reproducibility.

Candidate Profile

  • Master's or Ph.D. in Computer Science, Machine Learning, Physics, Engineering, or related field.
  • 3+ years (mid-level) or 5+ years (senior) of experience in Data Science, ML Engineering, or Research roles in applied AI/ML projects.
  • Proven experience designing and implementing evaluation methodologies for machine learning or Generative AI systems.
  • Hands-on experience with LLMs, RAG pipelines, and agentic architectures.
  • Proficiency in Python, Git, Docker, and major ML frameworks (PyTorch, HuggingFace, LangGraph, LlamaIndex).
  • Familiarity with cloud environments (AWS preferred).
  • Excellent communication skills and fluency in English.

Preferred

  • Ph.D. in a relevant technical discipline.
  • Experience with synthetic data generation, adversarial testing, and multi-agent evaluation frameworks.
  • Strong background in LLM error analysis and reliability testing.
  • Open-source contributions or publications related to AI evaluation.
  • Fluency in Spanish.

Contract Details

  • Location: Madrid or Barcelona
  • Type: Fixed-term (until June 2026)
  • Work Model: Hybrid (3 days onsite, 2 remote)
  • Seniority: Associate
  • Department: Technical

Compensation and Benefits

  • Competitive salary package.
  • Signing and retention bonuses.
  • Relocation support where applicable.
  • Flexible working hours and equal pay guarantee.
  • Inclusive, international, and innovation-driven environment.