About us
Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster.
About the role
As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting-edge AI technologies. You'll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data.
In particular, you will:
- Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists.
- Design, build, and maintain scalable, reliable AI systems.
- Drive technical decisions and provide context-aware solutions for AI systems in biological research.
- Leverage and pioneer evaluation methodologies to ensure continuous product improvement.
- Experiment with cutting-edge industry solutions—orchestration patterns, fine-tuning, specialized monitoring, feedback loops, etc.
- Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance.
- Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing.
Example of scope
- Lead Agent Development: Drive the development of Owkin agents and actively contribute to the core components of our platform, "K-Pro."
- Optimize Analytical Workflows to feed the agents with the data they need when they need it — e.g. analytical DBs (DuckDB), distributed computing (AWS Athena, Trino, etc), integration with data platforms (Snowflake, Databricks, etc).
- Deployment and Integration: Manage the seamless integration and deployment of agents within Owkin's broader Data Platform infrastructure.
Required qualifications / experience
- Deep understanding of system architecture, infrastructure design, and building resilient distributed systems - including complex analytical workflows.
- Extensive experience with production environments: continuous deployment, high availability, observability, and security.
- Curiosity and ideally hands-on experience with AI systems — from integrating LLMs to evaluating their performance in real-world workflows.
- Proficiency with Claude Code and other AI software engineering tools.
- Stack: Python, Kubernetes, AWS.
What we offer
- Flexible work organization.
- Friendly and informal working environment.
- Opportunity to work with an international team with high technical and scientific backgrounds.