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3 дня назад

Platform Engineer (AI)

90 000 - 135 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Platform Engineer (AI): Building AI-assisted software engineering tools and infrastructure for agent tooling, development environments, automated validation, and developer productivity with an accent on AWS serverless systems, agent context management, and reliable software delivery. Focus on evaluating agent quality, improving development and testing environments, selecting an agentic development platform, and operating reliable systems across application and infrastructure boundaries.

Location: London, UK; hybrid with in-person attendance on Tuesdays, Wednesdays and Thursdays

Salary: £90,000–£135,000 for L3 or £120,000–£160,000 for L4, plus equity.

Company

hirify.global is building an AI-native procurement platform that connects purchasing workflows, approvals, supplier risk, renewals, and spend visibility for enterprise businesses.

What you will do

  • Build tooling and infrastructure that enables engineers to delegate investigation, implementation, testing, and code review tasks to AI agents.
  • Develop reproducible development environments, previews, automated validation, and systems for running applications and verifying changes.
  • Create evaluations for agent behaviour and measure correctness, review effort, reliability, and cost.
  • Identify engineering bottlenecks and deliver improvements to development, testing, and software delivery productivity.
  • Assess tools, make build-versus-buy decisions, and lead the selection and rollout of an agentic development platform.
  • Own technical design, implementation, deployment, observability, access controls, recovery, and ongoing operation.

Requirements

  • Strong software engineering fundamentals, including designing, shipping, testing, and operating production software.
  • Practical experience with AWS serverless infrastructure, deployment pipelines, or development environments.
  • Hands-on experience using coding agents for software development and understanding their capabilities and failure modes.
  • Product engineering experience with user-facing features and the ability to translate developer needs into effective internal tools.
  • Ability to scope ambiguous technical problems, make trade-offs, and deliver projects independently.
  • Clear communication and effective collaboration across engineering teams.

Culture & Benefits

  • Work with an early-stage team shaping the technical direction of AI-assisted software engineering.
  • Collaborate directly with product engineers and Platform Engineering teams.
  • Work across TypeScript, React, Postgres, AWS serverless infrastructure, SST, Pulumi, GitHub Actions, and Datadog.
  • Competitive geo-localised benefits with UK and US benefits packages.
  • Diverse and inclusive working environment with opportunities to own projects from experimentation through adoption.
  • AI note-takers may be used during interviews; candidates can opt out in their application.

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