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CuspAI

AI system designs candidate materials

Product Engineer

Full-Stack EngineeringUpdated on Oct 29
Full-time

About the Job

Requirements

  • At least four years of professional experience in full-stack software engineering, including 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.
  • Comfort making architectural decisions from scratch and working on greenfield projects.
  • A product-focused mindset, with an active focus on improving users' experience.
  • Interest in enabling scientific discovery; a science background is not required.

Responsibilities

  • Lead development of internal applications as first-class products, with a focus on usability and long-term scalability.
  • Collaborate with the VP of Product to translate research needs into technical roadmaps and software solutions.
  • Own the lifecycle of internal tools, from initial architecture and backend design through frontend deployment.
  • Build backend services in Python to interface with AI and research engines, integrating workflows into a unified internal platform.
  • Partner with the Data Engineering team to support ingestion and visualization of complex datasets in internal applications.
  • Develop responsive user interfaces that enable researchers to interact with complex data effectively and reduce cognitive load.
  • Work with AI Researchers and Data Engineers to understand their daily tasks and build tools that support them.
  • Collaborate with the engineering team to align internal tools with infrastructure and security standards.
  • Potentially scale systems to support more complex interdisciplinary data flows and external-facing interfaces as the materials search engine evolves.

Desired Qualifications

  • Experience in an early-stage startup environment, including working across multiple areas.
  • Experience building internal tools, dashboards, or administrative interfaces for data-heavy companies.
  • 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.

About the Company

CuspAI

AI system designs candidate materials

CuspAI builds an AI system for materials discovery that acts like a search engine for materials that do not yet exist. Its AI Materials Foundry uses a global network of labs, computing resources, and partners to design candidate materials when customers specify desired properties, spanning semiconductors, energy, climate, water treatment, and carbon capture. Unlike others, it combines AI-driven materials design with a broad, real-world Foundry network and high-profile advisers to turn requests into tangible material candidates. The company’s goal is to accelerate the creation of new materials by providing a scalable, end-to-end workflow that goes from property targets to candidate materials ready for testing and development, with ongoing expansion across the US, APAC, and Europe.

Company size
51-200
Company stage
Late Stage VC
Total funding
$580M
Headquarters
Cambridge, United Kingdom
Founded
2024

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