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Software Engineer, Backend (AI)

Формат работы
remote (только United_kingdom)/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
Software Engineer, Backend (AI): Building backend systems that make an automated lab programmable, integrating lab instruments and robotics into a software stack with an accent on processing large-scale protein characterization data and translating complex molecular biology workflows into reliable, scalable software. Focus on designing and building production backend systems, architecting data pipelines, and ensuring seamless API design and systems integration for physical machines.

Location: London, United Kingdom; hybrid

Company

hirify.global is building an automated laboratory that enables AI agents to run biology experiments through integrated software, hardware, robotics, and data systems.

What you will do

  • Build backend systems that make laboratory operations programmable.
  • Architect data pipelines for large-scale protein characterization and physical-instrument data.
  • Design APIs integrating laboratory instruments, robotics, and scheduling systems.
  • Translate complex molecular biology workflows into reliable, scalable software.
  • Collaborate with scientists and automation engineers to support automated wet-lab experimentation.

Requirements

  • Strong experience designing and building production backend systems.
  • Experience with Python or TypeScript and relational databases such as Postgres.
  • Experience building data pipelines and processing infrastructure for heterogeneous data.
  • Knowledge of API design and systems integration.
  • Interest in biology and physical-world experimentation.
  • Ability to work autonomously, prioritize effectively, and write reliable software with or without AI tools.

Culture & Benefits

  • Hybrid work in London.
  • High-autonomy environment with openly shared context and vision.
  • Pragmatic engineering culture focused on solving problems effectively.
  • Opportunity to work with AI-driven wet-lab experimentation and integrated software-hardware systems.

Hiring process

  • Applications are reviewed on a rolling basis.

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