Senior Backend Engineer - AI Infra & Data Pipelines (London)

junior

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Team lunch provided everyday at the L​
Third Space membership
Private health insurance
Multiple all-expense paid offsites per
Visa sponsorship available

Job summary

Junior is building the AI operating system for investment research and is hiring a Backend Engineer based in London. You will design and scale systems powering AI-driven research, enabling operations and sales teams to deliver products efficiently.

This is a systems-level role for engineers who love data flows, orchestration, and performance across distributed systems. You’ll own architecture of internal data systems, stitch together AI infrastructure, and ship backend capabilities.

Qualifications

  • Proficient in Python or TypeScript development and production-grade code.
  • Experience building scalable backend systems for high-throughput data and AI workflows.
  • Strong knowledge of PostgreSQL data modeling, performance, and reliability.
  • Experience designing APIs and internal tooling to support product and customers.

Responsibilities

  • Architect and scale backend systems to support high-throughput LLM interactions and vector search.
  • Build and optimize data pipelines, retrieval, and orchestration across services.
  • Deliver production-grade interfaces and automation across product, CRM, and financial systems.
  • Work with the team to shape engineering culture and infrastructure decisions.

Skills

Python
TypeScript
PostgreSQL
APIs
Data modeling
Distributed systems

Job description

Junior is building the AI operating system for investment research and is hiring a Backend Engineer based in London. You will design and scale systems powering AI-driven research, enabling operations and sales teams to deliver products efficiently.

This is a systems-level role for engineers who love data flows, orchestration, and performance across distributed systems. You’ll own architecture of internal data systems, stitch together AI infrastructure, and ship backend capabilities.

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