Ai Engineer

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

Preferred

Contract Details

Compensation and Benefits