Product Engineer

5 months ago

Berlin, Germany +3 moreMid Level

Responsibilities

Lead development of a suite of scalable internal applications treated as first-class products.
Partner with the VP of Product to translate research needs into technical roadmaps and intuitive software solutions.
Own internal tools end to end, including architecture, backend design, frontend development, and deployment.
Build Python backend services integrating with AI and research engines.
Partner with Data Engineering to ingest and visualize complex datasets.
Develop responsive user interfaces that help researchers interact effectively with complex data.
Collaborate with AI Researchers, Data Engineers, and the broader engineering team on workflows, infrastructure, and security alignment.

At least 4 years of professional full-stack software engineering experience building and maintaining production-grade applications.
Strong backend expertise with Python and modern web frameworks such as FastAPI, Django, or Flask.
Proficiency with Node.js and modern frontend frameworks such as React, Vue, or TypeScript.
Ability to make architectural decisions in greenfield projects and build products from scratch.
A product-focused mindset and interest in improving user workflows.
Preferred experience with early-stage startups, internal tools, dashboards, or data-heavy admin interfaces.
Preferred knowledge of DevOps practices and cloud infrastructure such as GCP, Docker, or Kubernetes.
Academic background or personal interest in Materials Science, Chemistry, or Sustainability is a bonus.

Equity in CuspAI.
28 days of holiday in Germany, the Netherlands, and the UK, or 21 days in Japan, Singapore, and the US, plus local public holidays.
26 weeks of fully paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
Professional development budget.
Office-based work in Cambridge, London, Amsterdam, or Berlin three days per week, with possible regular travel to other locations.
Interdisciplinary collaboration across AI research, computational chemistry, experimental science, and engineering.