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.

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.

About you

Required qualifications / experience:

You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery.
Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds.
Clear and effective communicator who can translate technical complexity into actionable decisions for the team.
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.
Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work.
Proficiency with Claude Code and other AI software engineering tools
Fluent English, both written and spoken.
Stack: Python, Kubernetes, AWS

Preferred qualifications/bonus:

Experience working with spatial transcriptomics data.
Knowledge of different technologies for distributed computing, databases, and serialization.
Front-end development experience (although the position is mostly back-end oriented)
Direct experience with data orchestration tools such as Apache Airflow.

Responsibilities