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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 (Python/Node/PyTorch): Building and operating inference and orchestration systems that power reliable AI interactions and production APIs with an accent on latency, correctness, observability, and cost efficiency. Focus on designing multi-step model workflows, optimizing caching, batching, and streaming, and debugging distributed systems under high load.

Location: United Kingdom; hybrid work in London, Greater London

Company

hirify.global is building a proactive AI assistant for conversations, errands, organization, and everyday workflows.

What you will do

  • Build and operate backend systems serving AI-powered product features in production.
  • Design inference pipelines, model orchestration layers, and service boundaries.
  • Develop fast, stable, observable APIs for mobile and desktop clients.
  • Own monitoring, logging, alerting, and incident response for production systems.
  • Optimize latency and throughput across inference, caching, batching, and streaming.

Requirements

  • Strong backend engineering fundamentals in production environments.
  • Experience operating high-throughput, low-latency services.
  • Familiarity with AI inference patterns, including LLMs, embeddings, and multimodal models.
  • Ability to debug distributed systems under load.
  • Experience with Python, Node.js, PyTorch, SQL and NoSQL databases, Kubernetes, and Docker.

Culture & Benefits

  • Work with a small, high-talent-density, hands-on team.
  • Make decisions collectively and move at a rapid pace while balancing quality with learning.
  • Work independently by bringing structure, exercising judgment, and executing with ownership.
  • Interviews are conducted virtually and/or onsite.
  • Expect a prompt hiring decision after three to four interviews if there is a strong fit.

Hiring process

  • Applications are evaluated by technical team members.
  • Participate in three, and no more than four, interviews conducted via virtual meetings and/or onsite.
  • A prompt decision follows the interview process.

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