Backend Engineer

  • Job Reference: 473423148-2
  • Date Posted: 15 January 2022
  • Recruiter: Cord Technologies
  • Location: London
  • Salary: On Application
  • Sector: Management & Supervisors
  • Job Type: Permanent

Job Description

Cord is a London-based startup building a comprehensive training data solution for computer vision AI applications. We are backed by Y Combinator, the Harvard Management Company, top industry executives, and other leading Bay Area investors.

Started by ex-computer scientists, physicists, and quants, we felt firsthand how the lack of tools to prepare quality training data was impeding the progress of building practical AI. AI feels to us like what the early days of computing or the internet must have felt like, where the potential of the technology is clear, but the tools and processes surrounding it are terrible.

We have devised a unique methodology for automating the tasks related to preparing quality training data, in effect turning the training data problem into a data science problem.

About the role:

We are looking for an experienced backend engineer to help us build delightful backend services fuelling state-of-the-art AI applications. The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS&CUDA, Kubernetes) and the cutting edge of computer vision and deep learning.


  • Design, build, and maintain REST and GraphQL APIs servicing both customers and internal users; build client libraries (e.g. our Python SDK)
  • Collaborate closely with the business teams to understand and solve our customers' pain points
  • Work to improve engineering standards, tooling, and processes to establish engineering best practices
About you:

The right candidate will have proven experience working as a backend software engineer. Experience with any of the following is a plus:

  • Building distributed systems and large-scale data pipelines
  • Building software solutions for machine learning applications
  • Tornado or Django; Relational database systems (e.g. PostgreSQL); Docker

  • Macbook
  • Flexi-working
  • Equity
  • Pension
  • Team dinners
  • Office in Soho (London)
  • Intro call
  • Technical interview I
  • Technical interview II
  • Fit interview
  • Offer
REST, GraphQL, APIs, PythonREST, GraphQL, APIs, Python, Tornado, Django, PostgreSQL, Docker, Machine Learning