Software Engineer, AI Platform & Core Infra

Dex

Greater London

On-site

GBP 90,000 - 130,000

Full time

44 hours ago
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Job summary

Dex is partnering with a company building foundational AI infrastructure. You will own features from architecture to production, shaping product changes identified by the intelligence layer.

You’ll join a small engineering team, building the core AI platform or deploying into acquired companies to ship updates. The work involves designing APIs, data models, and React interfaces to surface real-time operational insight, with a codebase that is predominantly Ruby and occasional Python

Qualifications

  • 2-5 years of experience building and shipping production systems.
  • Ownership of full feature lifecycle: data modeling, API design, testing, reliability, deployment.
  • Strong in at least one modern stack; able to pick up new languages quickly (codebase is 90%+ Ruby).
  • Proven ability to break down ambiguous problems, prioritize high-leverage work, and communicate clearly to non-engineers.
  • Interest in AI tooling, LLM workflows, or developer productivity improvements with tangible output.

Responsibilities

  • Design APIs, data models, and integrations to pull data from acquired companies into the core platform.
  • Build React interfaces that surface real-time operational intelligence.
  • Own features end-to-end, from architecture through to production deployment.
  • Collaborate with product and commercial teams to shape the roadmap.
  • Contribute to a codebase that is 90%+ Ruby, with opportunities in Python.

Skills

Ruby
APIs
React
Data modeling
Python

Tools

Ruby on Rails

Job description

Dex is partnering with a company building foundational AI infrastructure. You will own features from architecture to production, shaping product changes identified by the intelligence layer.

You’ll join a small engineering team, building the core AI platform or deploying into acquired companies to ship updates. The work involves designing APIs, data models, and React interfaces to surface real-time operational insight, with a codebase that is predominantly Ruby and occasional Python

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