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Backend Engineer at Global AI-first product studio expanding

Job in London, Greater London, W1B, England, UK
Listing for: Jack & Jill
Full Time position
Listed on 2026-06-13
Job specializations:
  • Software Development
    Backend Developer, Python
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Title

Backend Engineer

Salary

Not Disclosed

Company Description

Global AI-first product studio with a portfolio of 80+ enterprise and government clients

Job Description

As one of the first London-based engineers, you will build and own production‑grade Python services for AI‑driven products. You will design scalable APIs, optimize Postgres data layers, and lead architectural decisions. This role offers genuine end‑to‑end ownership, from initial specification to production monitoring, within a high‑momentum team expanding its UK presence.

Location

London, UK

Why this role is remarkable
  • Join as a founding member of the London engineering hub with direct influence over team culture and technical standards.
  • Experience the autonomy of an early‑stage hire backed by the stability of a company with revenue and a massive global client base including Tata.
  • Move fast with a high‑performance team that prioritizes shipping code to real users over bureaucratic red tape.
What You Will Do
  • Architect and maintain high‑performance Backend services using Python (FastAPI), Postgres, and Redis.
  • Own the entire product lifecycle from initial system design through to AWS deployment and production reliability.
  • Work directly with the founding team to translate complex requirements into scalable, AI‑driven technical solutions.
The ideal candidate
  • Possesses 4+ years of experience building production APIs in Python with a focus on FastAPI, Django, or similar frameworks.
  • Demonstrates mastery of SQL and schema design, with a proven track record of optimizing database performance at scale.
  • Shows a strong sense of ownership and experience managing production environments using AWS, Docker, or Kubernetes.
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