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.
This role requires balancing traditional engineering principles with innovative approaches when integrating LLMs and AI throughout our technology stack. If you love building and refining a dynamic product, this role is for you.
Your seniority and experience will be crucial in guiding the multidisciplinary team to make strategic decisions and empowering team members.
This job offer covers for multiple positions at different levels of seniority (Intermediate & Senior).
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.
- Participate in a team wise shared on-call rotation.
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.