Software Engineer

Owkin

12d • Hybrid

About The Position

Owkin is an AI company focused on solving the complexity of biology by building a Biology Super Intelligence (BASI). This involves combining large language models, multimodal patient data, and agentic software. The core system includes an AI copilot (Owkin K) and a biology-focused LLM (Owkin Zero), designed to aid researchers, clinicians, and drug developers in understanding biology, validating hypotheses, and accelerating the delivery of diagnostics and therapies. The Software Engineer role is crucial in building a leading Agentic AI product for biomedical researchers, integrating robust engineering with advanced AI technologies. The work involves a real-time system with LLMs, tool-calling, and interactive UI elements, requiring a balance of traditional engineering and innovative AI integration. The role is open to Intermediate and Senior levels and offers the opportunity to guide a multidisciplinary team.

Key responsibilities include collaborating with product managers, designers, software engineers, machine learning and biomedical scientists; designing, building, and maintaining scalable, reliable AI systems; driving technical decisions for AI systems in biological research; pioneering evaluation methodologies for product improvement; experimenting with industry solutions like orchestration patterns and feedback loops; leading core stack component development with a focus on sustainability, scalability, security, reliability, and performance; and fostering team growth through knowledge sharing and mentoring.

Requirements

• 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; 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: 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

Nice To Haves

• 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

• 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.
• 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.

Benefits

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed