Senior Software Engineer (Full Stack)

Join our software development team as a Senior Software Engineer (Full Stack) and help build next-generation AI platforms for healthcare. You will serve as a subject matter expert across agentic and full-stack systems, drive engineering excellence, and champion a culture of quality, innovation, and operational effectiveness. Your responsibilities will include AI and agentic systems development, full-stack engineering and operational excellence, and leadership and collaboration. You should have extensive hands-on experience in full-stack software development, deep technical proficiency with cloud platforms, and a strong understanding of CI/CD and Infrastructure as Code.

• Contribuer à la stratégie et à la maintenance continue de l'infrastructure AI, en veillant à son alignement avec les objectifs commerciaux.
• Développer et maintenir des cadres d'évaluation AI robustes qui mesurent la performance dans le monde réel.
• Construire des services back-end évolutifs et des solutions front-end, en utilisant des langages et des frameworks tels que Python, Node.js et JavaScript/TypeScript.
• AI & Agentic Systems: Demonstrated experience designing and maintaining AI infrastructure and agentic workflows utilizing frameworks such as LangChain, LangGraph, Google ADK, or similar. Familiarity with deploying AI PaaS solutions such as Azure AI Foundry or Vertex AI is a plus
• Communication: Proven ability to translate complex technical decisions and engineering tradeoffs into business risk and impact for non-technical stakeholders, and to represent platform constraints clearly in cross-functional planning
• Fullstack Technical Depth: Extensive hands-on experience in full-stack software development with proficiency in Python, Node.js, and JavaScript/TypeScript, including front-end frameworks (e.g., React, Next.js) and back-end API design
• Education: Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Mathematics, or a related scientific/engineering field. Master’s degree preferred
• Cloud Proficiency: Deep technical proficiency with cloud platforms (Azure or Google Cloud), including experience with managed AI services, vector/semantic search, and cloud-native deployment patterns
• Operational Skills: Strong understanding of CI/CD, Infrastructure as Code (IaC), and containerized workloads (Kubernetes), with demonstrated experience supporting production systems
• Experience: 5+ years of relevant industry experience shipping world-class products as part of a highly functional software development team