---
title: 'Product Engineer at CuspAI'
canonical: 'https://feeny.ai/job/product-engineer-cuspai-london-5gr5r86adyz0'
type: 'job'
last_seen: '2026-09-11'
---

# Product Engineer at CuspAI

- **Company:** CuspAI
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-23
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/cuspai/0bf6d5bd-a4fc-46bb-b0e5-081305dbb4a1/application

**Skills:** Python, FastAPI, Django, Flask, Node.js, React, Vue, TypeScript, GCP, Docker, Kubernetes, DevOps practices

> Lead the inception and development of internal application suites as a full-stack engineer, partnering with product leadership to build high-quality tools for researchers. Focus on backend architecture with Python and frontend development with React/TypeScript to streamline AI and materials science workflows.

## Job description

## About CuspAI

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.

We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.

We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.

We’re on the cusp of the on-demand materials era. Join us.

## The Role

Due to rapid growth, we are seeking a full-stack Product / Full Stack Engineer* to lead the inception and development of our internal application suite, serving as the foundational architect for the tools our world-class researchers use every day. *Note that you would be joining as a ‘Member of Technical Staff’, but the indicative job title above hopefully helps to explain the nature of this role. The role will be part of our Platform & Engineering organisation.

## Your Impact

In this role you will be building the internal product ecosystem that streamlines and curates our proprietary discovery workflows, which is critical for accelerating our mission to solve global challenges through next-generation materials. Your main focus initially will be partnering with our VP of Product to define and build the first generation of internal applications from scratch, ensuring they are not just functional but curated as high-quality products. Over time, you will likely get involved in scaling these systems to support increasingly complex interdisciplinary data flows and potentially external-facing interfaces as our "search engine" for materials evolves.

## What You Will Do

Product Inception & Internal Tooling

- Lead the development of a suite of internal applications, treating them as first-class products with a focus on usability and long-term scalability.
- Collaborate closely with the VP of Product to translate high-level research needs into technical roadmaps and intuitive software solutions.
- Own the end-to-end lifecycle of internal tools, from initial architecture and backend design to frontend deployment.

Backend Architecture & Data Integration

- Design and build robust backend services primarily using Python to interface with our core AI and research engines.
- Partner with the Data Engineering team to ensure seamless ingestion and visualization of complex datasets within internal applications.
- Develop processes to integrate disparate workflows into a unified, high-performance internal platform.

Frontend Development & UI/UX

- Develop clean, functional, and responsive UIs that allow our researchers to interact with complex data effectively.
- Maintain a high bar for the "curated" feel of our internal applications, ensuring they are intuitive and reduce the cognitive load for our technical teams.

Interdisciplinary Collaboration

- Work closely with AI Researchers and Data Engineers to understand the nuances of their daily tasks and build tools that empower them.
- Collaborate with the broader engineering team to ensure internal tools align with our overall infrastructure and security standards.

Must Have Skills and Qualifications:

- You have at least 4+ years of professional experience in full-stack software engineering, with a proven track record of building and maintaining production-grade applications.
- You possess strong backend expertise, specifically with Python and modern web frameworks (e.g. FastAPI, Django, or Flask).
- You are proficient with Node.js and modern frontend frameworks (e.g. React, Vue, or TypeScript) and have a keen eye for UI/UX best practices.
- You are a "builder" at heart who enjoys the greenfield stage of a project and is comfortable making architectural decisions from scratch.
- You have a product-focused mindset, meaning you don't just "write tickets" but actively think about how to make the user's life easier.
- You are excited by the prospect of enabling world-changing scientific discovery, even if you don't have a background in the sciences yourself.

Bonus Points (But Not Critical):

- Experience working in an early-stage startup environment where you've had to wear multiple hats.
- Previous experience building internal tools, dashboards, or "Admin" interfaces for data-heavy companies.
- Knowledge of modern DevOps practices and cloud infrastructure (e.g. GCP, Docker, Kubernetes).
- An academic background or personal interest in Materials Science, Chemistry, or Sustainability.

Additional Considerations This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work.

## What We Offer

- A competitive salary: We value and reward impact and growth
- Equity in CuspAI: You have a stake in the success of the company
- Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
- ‘Gold Standard’ parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
- Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
- Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
- True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other

Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.

CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace. We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.

We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.

Please let us know if you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.

## About CuspAI

## Company Overview
- **One-liner**: CuspAI develops an AI-driven platform to discover and optimize advanced materials for industrial and scientific applications, aiming to compress billion-year natural processes into months.
- **Entity Type**: Private (Series A / multiple venture rounds)
- **Headquarters**: Cambridge, United Kingdom (20 Station Road, Cambridge, CB1 2JD)
- **Founded**: 2024
- **Founders**: Dr Chad Edwards (CEO) and Prof. Max Welling (CTO)

## Core Business
- Primary industries: Advanced materials, artificial intelligence, chemistry, engineering
- Target customers: B2B – Enterprise R&D teams in semiconductors, automotive, energy, chemicals, and high-tech manufacturing (e.g. ASML, Meta, Hyundai, Kemira)
- Mission: “Unlock trillion‑dollar materials breakthroughs in months, not millennia” by using AI to create an on‑demand materials era.

## Products & Services
- **Molecular search engine / AI materials discovery platform**: An AI model that screens and generates novel molecules with desired properties (conductivity, strength, heat resistance) and validates them through simulation. The platform is 10× faster than conventional methods. Integrated with Widom insertion simulations (open‑source package `widom`).

## Market Standing
- **Valuation**: ~$2.6 billion (according to Financial Times reports in June 2026, citing a new $400 million funding round backed by Jeff Bezos)
- **Key Metric (Total Funding)**: Conflicting reports – LinkedIn shows $330 million to date (Seed $30M, Series A $100M, Venture Round $200M); CB Insights lists $130 million raised (excluding the latest $200M+ round). The most recent round (June 2026) is reportedly $400 million at a $2.6 billion valuation.
- **Notable Investors/Partners**: Temasek, Hoxton Ventures, Lightspeed Venture Partners, Giant Ventures, Northzone, NEA, Kleiner Perkins, Bezos Expeditions, Nvidia, Samsung, Hyundai. Advisors include Nobel laureate Geoffrey Hinton and Yann LeCun.
- **Growth Signals**: Headcount of 52 employees (+123.3% YoY, +11.7% monthly growth); 7 active job postings (+600% YoY); offices in Cambridge, Amsterdam, and Singapore; clients like ASML, Meta, Hyundai, and Kemira.

## Competitive Advantages
- **World‑class founding team** – Most cited AI, chemistry, and engineering researchers globally.
- **AI‑native approach** – Proprietary molecular search engine that is 10× faster than conventional materials discovery.
- **Advisory board** – Nobel Prize winners (Geoffrey Hinton) and top AI pioneers (Yann LeCun, Kristin Persson).
- **Talent pipeline** – Many hires from Google DeepMind, Isomorphic Labs, Microsoft, and Imperial College London.
- **Strategic partnerships** – Deep ties with chipmakers (Nvidia, ASML), automotive (Hyundai), and chemical firms (Kemira).

## Strategic Focus
- Scaling the platform to serve more enterprise R&D departments globally.
- Expanding physical presence to Asia (Singapore office for scientific applications).
- Investing heavily in compute capacity at hyperscalers and recruiting top AI/ML engineers.
- Developing autonomous AI agents for materials research.

## Why Work Here
- **Culture & engineering**: Frontier AI research environment with deep roots in academia and big tech (Google DeepMind, Microsoft). Emphasis on agent‑based RL and force‑field simulation.
- **Work policy**: Hybrid – employees work a mix of remote and on‑site (offices in Cambridge, Amsterdam, Singapore, Germany). Typical on‑site time varies by role.
- **Perks & growth**: Competitive compensation (VC‑backed with substantial funding); high autonomy and impact in a fast‑growing company (+123% headcount YoY). Open‑source contributions (GitHub repos `widom` and `tonno`).
- **Talent signals**: Many employees previously at Dassault Systèmes, Isomorphic Labs, Quantinuum, and top universities; alumni go on to MIT, Mistral AI, Black Forest Labs.

## Sources
1. [cusp.ai](https://www.cusp.ai/) – Company website, leadership team, mission statement
2. [linkedin.com](https://www.linkedin.com/company/cusp-ai) – Headcount, financials, talent sources, open positions
3. [cbinsights.com](https://www.cbinsights.com/company/cuspai) – Valuation, funding rounds, news (including FT report)
4. [builtin.com](https://builtin.com/company/cuspai) – Company overview, hybrid policy, office locations
5. [github.com](https://github.com/Cusp-AI) – Open‑source repositories, organization details
6. (FT report cited in CB Insights) – “CuspAI to be valued at £2bn as Jeff Bezos invests”

## Other roles at CuspAI

- [Applied AI/ML Engineer (Agents)](https://feeny.ai/job/applied-ai-ml-engineer-agents-cuspai-amsterdam-j0mk0xedxhmf) — Amsterdam, Netherlands
- [Technical Program Manager (Science)](https://feeny.ai/job/technical-program-manager-science-cuspai-london-1gbwtxe6srq6) — London, United Kingdom
- [Technical Program Manager (AI/ML)](https://feeny.ai/job/technical-program-manager-ai-ml-cuspai-berlin-rwvx6zm2n5j2) — Berlin, Germany
- [Senior Talent Partner (Singapore)](https://feeny.ai/job/senior-talent-partner-singapore-cuspai-singapore-1p1fttk332mc) — Singapore
- [Head of Data](https://feeny.ai/job/head-of-data-cuspai-singapore-6czn2621jer9) — Singapore
- [Scientific Developer Relations Manager](https://feeny.ai/job/scientific-developer-relations-manager-cuspai-london-f3n7tc1w5wnm) — London, United Kingdom
- [MLFF Distillation & GCMC Integration -  Internship](https://feeny.ai/job/mlff-distillation-gcmc-integration-internship-cuspai-london-7hsea26xa7bn) — London, United Kingdom
- [Data Engineer](https://feeny.ai/job/data-engineer-cuspai-london-va127px4k277) — London, United Kingdom
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- [Application Scientist (AI Materials Science), Singapore](https://feeny.ai/job/application-scientist-ai-materials-science-singapore-cuspai-singapore-rcp4rvg183ts) — Singapore