Teams at Owkin

Owkin accepts spontaneous applications from engineers across AI and LLM engineering, backend and platform engineering, data engineering, and infrastructure. Successful candidates build reliable, scalable systems involving LLMs, agents, or data pipelines; collaborate with scientists; use AI engineering tools; and demonstrate curiosity about biology. Applicants may be considered for current or future opportunities supporting biomedical research tools.

Designs, develops, and deploys production-grade machine learning systems focused on LLMs, Generative AI, and deep learning. Responsibilities include building scalable ML libraries and research workflows, optimizing distributed training and inference, improving experiment tracking and model lifecycle management, and bridging research prototypes with robust implementations. The role requires collaboration with data science and platform teams, strong software engineering practices, cloud and MLOps expertise, and mentoring across the technical team. Biomedical, clinical, or omics data experience is preferred.

Own first-level B2B SaaS support for Owkin’s K-Pro AI research platform. Triage tickets, diagnose technical issues, manage SLAs, communicate with clients, escalate problems, track support metrics, maintain the knowledge base, and identify recurring issues. The role also improves support workflows through AI-assisted triage, routing, response drafting, and knowledge retrieval while partnering with engineering, product, customer success, and operations teams.