Frontend Engineer

Posted 6 Days Ago
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Hiring Remotely in London, Greater London, England
Remote
Senior level
Artificial Intelligence • Computer Vision • Machine Learning
The Role
The Frontend Engineer will design, implement, and maintain frontend components with a focus on performance and user experience, using React and TypeScript while collaborating with teams for production-ready features and robust testing strategies.
Summary Generated by Built In

Description

Neurolabs is rewriting the playbook for retail execution with Visual AI. We’ve just raised $7.8M in Series A funding led by Nauta, with follow-on from existing investors LAUNCHub, Lunar Ventures, and Techstart. Our platform helps some of the world’s top CPG brands unlock real-time, SKU-level shelf visibility—without fragile audits or slow tools.

We’re looking for a Frontend Engineer to help shape and scale the way customers interact with our platform. You'll work closely with our product and engineering team to design and implement fast, elegant, and reliable interfaces. This is a high-impact role with clear ownership over frontend architecture, delivery, and evolution.

Responsibilities

  • Drive architecture and development of frontend components using React and TypeScript, ensuring performance, maintainability, and a strong user experience
  • Own frontend implementation end to end—from component design and state management to integration with GraphQL APIs
  • Collaborate with product, engineering, and design to translate ideas and requirements into well-executed, production-ready features
  • Implement robust testing strategies, including unit, integration, and E2E tests, to maintain confidence across browsers and devices
  • Support frontend deployment and monitoring, contributing to our CI/CD pipelines and proactively addressing performance and stability in production
  • Continuously improve the development experience, refining tooling, processes, and architectural patterns to support scale and speed
  • Bring design to life, working closely with designers to build accessible, responsive, and polished user interfaces
  • Contribute to technical alignment, with enough backend awareness (e.g. Python) to collaborate effectively across the stack
Requirements
  • 5+ years of experience building and maintaining production-grade frontend applications
  • Deep expertise in React, with a proven track record of shipping complex, user-facing features at scale
  • Strong proficiency in TypeScript, including advanced types, patterns, and best practices
  • Hands-on experience with GraphQL, including schema design, client integration, and query performance
  • Solid understanding of frontend deployment workflows, including CI/CD pipelines, build tooling, and cloud environments
  • Confidence with testing frameworks such as Jest (unit/component) and Cypress (E2E)
  • Experience with state management libraries like Zustand, Redux, or similar
  • A strong eye for UI/UX, with the ability to turn design specs into polished, responsive interfaces
Benefits
  • Hybrid working (three in-office days per week near King’s Cross, London).
  • Equity options available.
  • Private medical insurance (AXA Health).
  • 34 days of annual leave (including public holidays).
  • Pension scheme (5% employee + 3% employer contribution).
  • Annual company retreat abroad.

Please note: We are not accepting unsolicited CVs or candidate introductions from recruitment agencies. Any profiles submitted without prior agreement will be considered the property of Neurolabs, and no fees will be payable.

Top Skills

Cypress
GraphQL
Jest
Python
React
Redux
Typescript
Zustand
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The Company
HQ: London
27 Employees
On-site Workplace
Year Founded: 2018

What We Do

Neurolabs is the "go-to" Computer Vision vendor for the CPG space, with access to a product catalogue of >100K SKUs.

We develop algorithms to visually interpret and understand the grocery & CPG world. Using images from cameras, our Synthetic Computer Vision (SCV) models accurately identify and classify objects of interest, helping computers “understand” what they “see”.

Our technology is universally applicable across the CPG lifecycle. We help our partners automate CPG object recognition tasks in physical stores, logistic centres or manufacturing plants.

Our approach substitutes the expensive and rare real-world data required to train Deep Learning algorithms, with synthetically generated data to provide massive low-cost data sets in a fraction of time.

Our technology empowers both small and large customers to implement state-of-the-art CV applications with minimal incremental resources and costs — no coding required, no tedious data labelling, no image gathering.

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