At kaiko.ai, we’re developing a multimodal clinical assistant for cancer care. Built on foundation models trained in close collaboration with academic R&D partners, the assistant’s interface helps cancer care teams quickly synthesize complex medical data, offering timely insights to support critical decisions for each patient. Currently in testing, we are working with teams across various cancer care specialties to develop and deploy the latest AI capabilities for clinical use: • Distilling critical information from text, images and molecular data • Linking modalities through multimodal foundation models for oncology • Facilitating diagnosis and treatment planning We're refining our approach through close partnerships with leading institutions like the Netherlands Cancer Institute (NKI-AVL), merging clinical expertise with technological innovation. Born in Amsterdam in 2021, Kaiko has grown into a dynamic and multidisciplinary team spanning Amsterdam and Zurich.
Open Positions
Hospital Partnerships Specialist
2+ years of B2B sales experience, strong communication skills, and solid technical understanding
IT Support Engineer
1-2 years of IT support experience, familiarity with identity and access management, and solid working knowledge of macOS/Windows
Commercial Partnerships Specialist
2+ years of experience in B2B sales, strong communication skills, and technical understanding
VP Commercial Partnerships
5–10 years of commercial experience, strong understanding of healthcare ecosystem, experience with AI-driven products, and solid grasp of agentic AI concepts
Senior ML Engineer – Agentic AI
4-7 years of experience in building LLM-driven features, experience with agentic frameworks, strong ML foundation, and ability to design evaluation for LLM and agentic systems
Commercial Partnerships Specialist
2+ years of experience in B2B sales, tech consulting, or customer-facing roles; strong communication and negotiation skills; solid technical understanding
Senior QA Engineer
5+ years of QA experience, deep hands-on experience in software development environments, proven track record in improving QA processes
Open Application
No specific requirements mentioned
Senior Evaluation ML Engineer
5-10 years of experience in designing and operating evaluation or data-quality pipelines for ML/LLMs at scale, strong Python skills, and working knowledge of oncology workflows and terminology
Senior Data Engineer - Product Data Team
Blended background in software and data engineering with a focus on code quality and best practices. Experienced in evolving and owning technical direction. Skilled in data modeling and distributed data processing