AI Evaluation Engineer

The Role
We are seeking an exceptional
AI Evaluation Engineer
to design, implement, and scale frameworks for assessing the performance, reliability, and trustworthiness of advanced AI systems. This individual will be responsible for developing methodologies and tools to measure model quality across diverse dimensions, such as accuracy, robustness, reasoning, safety, and efficiency.

Key Responsibilities

• Design and Develop Evaluation Frameworks: Create scalable, reproducible evaluation pipelines for large-scale AI systems, including LLMs and multi-agent architectures, covering both automated and human-in-the-loop testing strategies.
• Metric Innovation: Define and implement novel evaluation metrics that capture model capabilities beyond traditional benchmarks.
• Benchmarking & Performance Analysis: Conduct benchmarking of AI models across domains, tasks modalities, analyzing their skills and behavior under different setups.
• Safety, Reliability & Alignment Testing: Develop tools and experiments to probe model safety, robustness, interpretability, and bias.
• Cross-functional Collaboration: Work closely with model finetuning and optimization teams to evaluate end-to-end system effectiveness, efficiency. Identify trade-offs between model performance, latency, and energy footprint.
• Continuous Improvement & Reporting: Monitor model performance over time, automate regression detection, and contribute to the continuous evaluation infrastructure that supports Openchip's AI research and product roadmap.

Qualifications

• MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field. A publication record in ML evaluation, benchmarking, or interpretability is a plus.
• 3+ years of experience developing, evaluating, or optimizing AI systems.
• Strong programming skills in Python, with experience using PyTorch, TensorFlow, or JAX.
• Experience in designing evaluation protocols for LLMs, multi-agent systems, or reinforcement learning environments.
• Deep understanding of ML metrics, evaluation methodologies, and statistical analysis.
• Experience with data quality, annotation workflows, and benchmark dataset creation is a plus.
• Fluent in English; proficiency in additional European languages (German, Dutch, Spanish, French, or Italian) is a plus.

Soft Skills

• Analytical Rigor: An evidence-driven mindset that enjoys designing robust experiments to quantify and uncover complex AI behaviors, translating empirical insights into new research directions.
• Collaboration & Communication: Excellent communication and collaboration skills in a multidisciplinary environment.
• Integrity & Responsibility: Committed to building AI systems that are not only powerful but also safe, reliable, and aligned with human values.

What We Offer?

• The opportunity to build a cloud AI deployment platform that will power next generation AI systems.
• A collaborative, innovation-driven environment with significant autonomy and ownership.
• Hybrid work model with flexible scheduling.
• A chance to join one of Europe's most ambitious companies at the intersection of AI and silicon engineering.
• Position based in Barcelona.

We're looking for exceptional engineers ready to shape the future of AI infrastructure. If building scalable, cloud-native AI deployment platforms excites you, we'd love to meet you.
At Openchip & Software Technologies S.L., we believe a diverse and inclusive team is the key to groundbreaking ideas. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential—regardless of race, gender, ethnicity, sexual orientation, or gender identity.