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17 часов назад

Backend Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Backend Engineer (AI): Building and operating the core backend systems powering Curie, an AI platform for materials science, hardware engineering, and manufacturing, with an accent on APIs, data pipelines, graph databases, and event-driven architectures. Focus on integrating AI models with scientific tools, designing unified context graphs, and solving reliability, observability, and scalability challenges in distributed systems.

Location: London, UK — Hybrid

Company

hirify.global is an AI-first industrial company building hardware and software for more performant and sustainable AI data centers and other critical industries.

What you will do

  • Design, build, and operate APIs, backend services, and data pipelines powering the Curie AI platform.
  • Build integrations between AI models, scientific tools, and internal engineering workflows.
  • Own backend features from system design through deployment, monitoring, and iteration.
  • Improve observability, reliability, performance, and maintainability through instrumentation and optimization.
  • Collaborate with ML researchers, product engineers, materials scientists, and hardware engineers.
  • Contribute to architecture, technical direction, documentation, code review, and engineering best practices.

Requirements

  • Backend engineering experience with strong programming skills.
  • Production experience designing, building, and operating APIs, data pipelines, event-driven architectures, or similar systems.
  • Strong fundamentals in at least one backend language, such as Python, Go, Rust, Java, or Kotlin.
  • Experience with relational or graph databases, message queues, caching layers, and cloud infrastructure.
  • Ability to reason about system design, data modelling, engineering trade-offs, and complex distributed-system debugging.
  • Interest in building software for scientific and industrial applications.

Nice to have

  • Experience working in an AI/ML environment.
  • Familiarity with graph databases, knowledge graphs, or scientific data platforms.
  • Experience with infrastructure as code, Docker, Kubernetes, or CI/CD pipelines.

Culture & Benefits

  • Work in tightly integrated, vertically integrated teams spanning AI research, operations, advanced materials, engineering, and manufacturing.
  • Emphasis on craftsmanship, continual learning, high engineering standards, and maintainable systems.
  • Inclusive environment committed to diversity and equal opportunity.

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