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Owkin

AI-powered diagnostics and drug development

Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Strong understanding of system architecture, infrastructure design, resilient distributed systems, and complex analytical workflows.
  • Extensive experience with production environments, including continuous deployment, high availability, observability, and security.
  • Curiosity about AI systems and ideally hands-on experience integrating large language models and evaluating their performance in real-world workflows.
  • Proficiency with Claude Code and other AI software engineering tools.
  • Fluent written and spoken English.
  • Proficiency with Python, Kubernetes, and AWS.

Responsibilities

  • Collaborate within a multidisciplinary team of product managers, designers, software engineers, machine learning scientists, 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.
  • Use evaluation methodologies to ensure continuous product improvement.
  • Experiment with industry solutions, including orchestration patterns, fine-tuning, specialized monitoring, and feedback loops.
  • Lead development of core stack components, focusing on sustainability, scalability, security, reliability, and performance.
  • Share expertise and mentor colleagues through code reviews, technical discussions, and knowledge sharing.
  • Participate in a shared team on-call rotation.
  • Lead development of Owkin agents and contribute to core components of the K-Pro platform.
  • Optimize analytical workflows using analytical databases such as DuckDB, distributed computing tools such as AWS Athena and Trino, and data platforms such as Snowflake and Databricks.
  • Integrate and deploy agents within Owkin's broader data platform infrastructure.

Desired Qualifications

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

About the Company

Owkin

AI-powered diagnostics and drug development

Owkin uses AI to support diagnostics and speed up drug development in oncology and other diseases. It builds AI models that analyze multimodal patient data—including digital pathology images, genomics, and clinical records—to identify which patients are most likely to respond to treatments and to optimize the design of clinical trials. The company collaborates with biopharma and academic centers to train models on diverse datasets while safeguarding data privacy. Its goal is to advance precision medicine by making drug discovery faster and more targeted, improving outcomes for patients.

Company size
201-500
Company stage
Series B
Total funding
$335M
Headquarters
Paris, France
Founded
2016

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