17 часов назад
Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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