ML Engineer – Agentic AI
About kaiko
In cancer care, treatment decisions can take many days—but patients don’t have that time. One of the reasons for delays? Cancer patients' data is scattered across many places: doctor’s notes, medical imagery, genomics data. At kaiko, we are developing AI foundational models to bring this data together and integrate it into clinical workflows, enabling doctors to make faster, more effective treatments decisions.
We also collaborate closely with the leading Dutch cancer research institute (NKI) on multiple AI research projects and a joint clinical validation initiative. In 2025, we plan on expanding our partnerships to even more hospitals.
We raised significant long-term funding and have offices in Zurich and Amsterdam. Over the past year, our team has nearly doubled in size, now comprising 70+ people from 25 countries.
About the role
As oncology inherently involves numerous data types such as imaging, pathology, genomics, clinical data, and patient histories, we are looking for visionary engineers to help us create an agentic AI system that can seamlessly integrate these modalities to support oncologists and ultimately improve patient outcomes. You will be joining the agentic AI team, where you will help develop a system capable of processing and reasoning across these different data modalities. You will be based in Zurich, Switzerland, with the expectation of spending at least 50% of your time at the office.
Some areas of responsibility
- Develop and implement an agentic AI system that can process and reason on multimodal oncology data including medical imaging, pathology slides, genomic profiles, and clinical information.
- Create novel agent workflows that mimic the collaborative, multidisciplinary approach of tumor boards and oncology care teams.
- Build and implement systems that can understand the relationships between different data types and extract clinically relevant insights.
- Develop evaluation frameworks to rigorously test agent performance across diverse oncology scenarios.
- Research and implement state-of-the-art techniques that leverage Large Language Models (LLMs) and Vision Language Models (VLMs) in agentic settings.
About you
- Strong programing skills in Python and PyTorch
- Strong foundation in deep learning, particularly in transformer architectures
- Experience training and fine-tuning foundation models
- Experience in prompting and/or developing products with LLMs
- Familiarity with the architecture and operation of LLMs and VLMs
Nice to have:
- Experience with Agentic AI or knowledge of recent literature
- Experience with Reinforcement learning
Why kaiko
At kaiko, we believe the best ideas come from collaboration, ownership and ambition. We’ve built a team of international experts where your work has direct impact. Here’s what we value:
- Ownership: You’ll have the autonomy to set your own goals, make critical decisions, and see the direct impact of your work.
- Collaboration: You’ll have to approach disagreement with curiosity, build on common ground and create solutions together.
- Ambition: You’ll be surrounded by people who set high standards for themselves and others, who see obstacles as opportunities, and who are relentless in their work to create better outcomes for patients.
In addition, we offer:
- An attractive and competitive salary, a good pension plan and 25 vacation days per year.
- Great offsites and team events to strengthen the team and celebrate successes together.
- A EUR 1000 learning and development budget to help you grow.
- Autonomy to do your work the way that works best for you, whether you have a kid or prefer early mornings.
- An annual commuting subsidy.
We are excited to gather a broad range of perspectives in our team, as we believe it will help us build better products to support a broader set of people. If you’re excited about us but don’t fit every single qualification, we still encourage you to apply: we’ve had incredible team members join us who didn’t check every box!
- Department
- ML R&D
- Locations
- Zürich (Puls 5)
- Remote status
- Hybrid
Zürich (Puls 5)
ML Engineer – Agentic AI
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