Senior AI Software Engineer: Cloud-Native & Microservices

United States Digital Space LLC

Greater London

On-site

GBP 90,000 - 130,000

Full time

13 days ago

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Job summary

VOIS, a strategic arm of the Group, seeks a Senior AI Software Engineer to build and operate production‑grade software using AI‑native practices. You will translate designs into secure, reliable software within cross‑functional teams, validating AI outputs and maintaining high quality across the lifecycle.

The role emphasizes responsible use of AI coding agents, collaboration with Technical Leads and Product teams, and ongoing improvement of delivery practices to ensure scalable, secure

Qualifications

  • 5+ years delivering production‑grade software.
  • Proficient in Java, Spring Boot and React.
  • Experience designing RESTful APIs and microservices.
  • Familiar with cloud‑native architectures and CI/CD.
  • Ability to apply AI coding tools responsibly.

Responsibilities

  • Build, test and maintain APIs, services, integrations, customer journeys and platform capabilities.
  • Translate requirements and designs into high‑quality software implementations.
  • Use AI coding agents to support implementation while validating outputs.
  • Review AI-generated and human‑written code and artefacts for correctness.
  • Validate AI-generated code and tests before production adoption.
  • Execute unit, integration and regression testing; contribute to pipelines and automation.
  • Support incident investigation and operational improvement activities.
  • Collaborate with leads, architects and product teams; mentor junior engineers.

Skills

5+ years of production-grade software
Java
Spring Boot
React
RESTful APIs
Microservices
Cloud-native
CI/CD pipelines
AI coding tools
Code review

Tools

CI/CD tooling

Job description

VOIS, a strategic arm of the Group, seeks a Senior AI Software Engineer to build and operate production‑grade software using AI‑native practices. You will translate designs into secure, reliable software within cross‑functional teams, validating AI outputs and maintaining high quality across the lifecycle.

The role emphasizes responsible use of AI coding agents, collaboration with Technical Leads and Product teams, and ongoing improvement of delivery practices to ensure scalable, secure

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