We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation.
Our teams are distributed between Europe, North America, Asia and the Middle East.
We are creative, low-ego and team-spirited.
The RoleAs an Evaluation Engineer on the Applied AI team, you will shape how enterprise customers measure and trust AI solutions.
You will work closely with clients and internal stakeholders to deliver evaluation systems that define when an AI model is ready for real business impact.
The team's mission is to ensure every project—no matter how ambitious—moves from idea to production with clarity and accountability.
Your work will sit at the intersection of research, engineering, and solutions, directly influencing how models are improved and deployed across varied domains.
What You Will DoDesign and implement comprehensive frameworks to evaluate large language model (LLM) performance across customer use casesBuild and maintain scalable evaluation infrastructure and pipelines for rapid, reproducible assessmentDevelop new evaluation methods for sector-specific or emerging model capabilitiesCollaborate with customers to create custom evaluation suites that fit their unique needs and criteriaPartner with research teams to turn evaluation insights into actionable model improvementsWork with product teams to refine evaluation tooling based on user feedbackDefine and communicate clear success metrics for "production-ready" AI modelsWhat We're Looking ForAt least 3 years of experience evaluating ML, LLM, or agenti.