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1 день назад

Backend Engineer (AI)

100 000 - 150 000
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
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) (TypeScript/Bun): Building and operating the backend data plane for AI visibility, including scraping, chat processing, source ingestion, and customer-facing analytics with an accent on distributed systems reliability, provider integrations, and observability. Focus on designing queueing and failure-handling models, debugging production incidents across infrastructure layers, and controlling performance and infrastructure costs.

Location: Berlin, on-site

Salary: €100K–€150K annually, plus equity

Company

hirify.global is a Series A startup building the data plane for AI visibility, processing chats, scrapes, citations, sources, model responses, and customer-facing insights.

What you will do

  • Build and operate backend systems for scraping, chat processing, source ingestion, and analytics.
  • Improve infrastructure reliability, performance, cost efficiency, and maintainability.
  • Design and implement queueing, worker, retry, rate-limit, idempotency, webhook, and failure-handling systems.
  • Debug incidents across application code, logs, metrics, queues, provider APIs, databases, networks, and deployments.
  • Operate production systems through provider outages, customer escalations, noisy alerts, and slow dependencies.
  • Document incidents and durable follow-up fixes through clear postmortems and engineering tickets.

Requirements

  • 5+ years of backend, platform, infrastructure, or distributed systems engineering experience in production.
  • Deep hands-on experience with TypeScript and clean, reliable backend system design.
  • Strong understanding of queues, workers, retries, rate limits, idempotency, distributed locks, webhooks, and failure handling.
  • Experience operating systems under production pressure and debugging issues across multiple infrastructure layers.
  • Comfort with cloud-native infrastructure and technologies including GCP, Kubernetes, Cloud Tasks, Pub/Sub, RabbitMQ, Redis, Postgres, Firestore, ClickHouse, Prometheus, Grafana, and OpenTelemetry.
  • Product-minded judgement, high ownership, clear communication, and a bias toward durable fixes.

Culture & Benefits

  • High ownership and responsibility for ambiguous systems.
  • Regular team events and off-sites.
  • Equity compensation package.
  • Paid dinner and Uber home when working late.
  • Office-based work environment in Berlin.

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