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4 дня назад

Staff Engineer (Go, AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
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

Staff Engineer (Go, AI): Building and optimizing an AI-native Employee Experience Platform with an accent on scalable backend services and architecting agentic AI systems. Focus on bridging experimental AI ideas to high-availability production services, owning the end-to-end AI lifecycle, and championing engineering excellence.

Location: Hybrid (Berlin, Chemnitz, Dresden, Leipzig, Germany)

Company

hirify.global is a Unicorn company creating an AI-native Employee Experience Platform for internal communications, headquartered in Chemnitz and New York City.

What you will do

  • Lead the implementation of scalable backend services and AI-native applications as a hands-on contributor.
  • Act as the technical "special forces" across high-priority teams, solving complex architectural problems.
  • Partner with PMs and ML engineers to turn experimental AI ideas into high-availability, production-grade services.
  • Take end-to-end ownership of the AI pipeline, from data retrieval and ingestion to monitoring token usage, cost, and latency.
  • Design and build complex conversational states, multi-agent communication protocols, and their supporting infrastructure.
  • Champion engineering excellence and influence the organization's technical direction for AI development.

Requirements

  • 10+ years of Experience in backend software development, including previous experience in a Tech Lead or Staff Engineer capacity.
  • Expert-level proficiency in GoLang in microservice architecture.
  • Hands-on experience building, deploying, and scaling AI-native applications in a production environment.
  • Deep knowledge of cloud platforms (Azure preferred) and container orchestration (Docker, Kubernetes).
  • Strong understanding of event-driven architectures and high-concurrency systems.

Nice to have

  • Experience with LLM observability and evaluation frameworks (e.g., Langfuse, Arize Phoenix).
  • Proven ability to optimize RAG pipelines for both latency and cost.
  • Familiarity with building multi-agent workflows (e.g., using LangGraph, CrewAI).
  • Experience building internal SDKs or libraries that help other engineering teams adopt AI features faster.

Culture & Benefits

  • Flexible and agile work environment that promotes well-being and work-life balance.
  • Option of hybrid work, supported by a yearly flex work allowance of €1560.
  • 31 vacation days annually (including one floating holiday), plus pro rata fully paid Fridays off during August.
  • Monthly Wellbeing Allowance of €35, covering fitness to mental health, hobbies to relaxation.
  • Company pension scheme.
  • One day off per year for supporting a social project.
  • Encouraged team events during working hours.

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