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13 часов назад

Senior Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Software Engineer (TypeScript/Node.js): Building and optimizing synthetic testing, evaluation workflows, and validation frameworks for AI agents with an accent on backend services, event-driven systems, and platform thinking. Focus on creating reliable measurement tools to uncover failure modes and ensure the quality of AI agent outputs.

Location: Berlin, Germany (Hybrid)

Company

hirify.global provides advanced AI-powered customer experience (CX) software to help brands manage customer conversations at scale.

What you will do

  • Develop systems and tooling for AI agent evaluation at scale.
  • Build robust backend services, APIs, and event-driven architectures.
  • Design and deliver polished user-facing tools for internal and customer use.
  • Collaborate with PMs, designers, and AI/ML engineers to improve AI agent reliability.
  • Influence technical direction, raise engineering quality, and mentor other engineers.

Requirements

  • 5+ years of experience building web applications with TypeScript, React, and Node.js.
  • Strong expertise in designing backend services and event-driven systems.
  • Deep understanding of clean architecture, testing strategies, and observability.
  • Ability to drive complex projects independently from ambiguity to execution.
  • Must be based in Berlin, Germany for a hybrid work arrangement.

Nice to have

  • Experience with AWS and CI/CD pipelines.
  • Knowledge of microservice architecture and relational/NoSQL data modeling.
  • Familiarity with AI agentic tools such as Cursor or Claude Code.
  • Python experience for testing, automation, or data processing.
  • Prior experience building evaluation systems or AI quality tooling.

Culture & Benefits

  • Hybrid work model offering flexibility to work remotely for part of the week.
  • Inclusive environment with a strong commitment to diversity, equity, and inclusion.
  • Opportunity to expand skills into ML engineering and AI system lifecycles.
  • Collaborative culture focused on continuous learning and professional growth.

Hiring process

  • Introductory chat with Talent Partner (30 min).
  • Interview with Hiring Manager (30-45 min).
  • Technical stage consisting of a theoretical interview and a live coding challenge.
  • Final interview with Hiring Manager and Senior Leadership (45 min).

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