11 hours ago
Berlin, Germany +3 moreMid Level
Responsibilities
- Lead the development and long-term ownership of a suite of internal applications treated as first-class products.
- Partner with the VP of Product to translate research needs into technical roadmaps and software solutions.
- Own internal tools end to end, including architecture, backend design, frontend development, and deployment.
- Build Python backend services that interface with core AI and research engines and unify disparate workflows.
- Partner with Data Engineering on ingestion and visualization of complex datasets.
- Develop responsive, intuitive UIs that enable researchers to work effectively with complex data.
- Collaborate with AI Researchers, Data Engineers, and the broader engineering team on platform integration, infrastructure, and security standards.
Requirements
- 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 or technologies such as React, Vue, or TypeScript.
- Ability to make architectural decisions from scratch in greenfield projects.
- A product-focused mindset centered on improving user workflows and usability.
- Preferred experience in early-stage startups, internal tools, dashboards, or admin interfaces for data-heavy companies.
- Preferred knowledge of modern 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.
Benefits
- 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 primary-caregiver parental leave and 12 weeks of fully paid secondary-caregiver parental leave.
- Professional development budget.
- Office-based arrangement in Cambridge, London, Amsterdam, or Berlin with three days per week in the office and possible travel to other locations.
- Collaborative interdisciplinary work spanning AI research, computational chemistry, and experimental science.
Tech Stack
Categories
Full StackProduct Engineering
About CuspAI
CuspAI builds an AI-driven materials discovery platform that helps R&D teams in chemicals, energy, and manufacturing design and evaluate novel molecules and materials. The company offers software and models accessed via cloud APIs and collaborations to prioritize candidates, guide experiments, and shorten lab cycles. Founded in 2024 and headquartered in Cambridge, it is a privately held startup focused on applying generative and physics-informed AI to sustainability and next‑generation materials problems.