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Senior Software Engineer (AI)

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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TL;DR
Senior Software Engineer (AI) (TypeScript/Node.js): Building secure and scalable backend services for a marketplace of tools and integrations used by agentic AI systems through MCP with an accent on microservices, distributed systems, and event-driven architectures. Focus on optimizing low-latency, high-throughput services, integrating machine learning components into production, and leading technical initiatives from design through maintenance.

Location: Berlin Office, Germany

Company

hirify.global builds enterprise-grade conversational and agentic AI technology that powers customer interactions at scale.

What you will do

  • Design, build, and maintain secure, scalable backend services for a marketplace of tools and integrations used by AI agents through MCP.
  • Optimize systems for low latency, high throughput, reliability, and operational excellence.
  • Integrate machine learning components into production systems in collaboration with cross-functional teams.
  • Lead technical initiatives across design, planning, implementation, and maintenance over a 3–9 month horizon.
  • Contribute to architecture evolution and engineering culture while driving pragmatic, high-quality solutions.

Requirements

  • 7+ years of experience as a software engineer.
  • Experience with TypeScript and Node.js, ideally NestJS, or comparable frameworks with willingness to learn TypeScript.
  • Experience developing and maintaining highly scalable and reliable microservices.
  • Deep understanding of distributed systems, event-driven architectures, and APIs.
  • Experience with cloud-native infrastructure such as Kubernetes, GCP, or AWS.
  • Strong spoken and written English communication skills. Experience leading technical projects and openness to AI-assisted coding tools are required.

Culture & Benefits

  • Ownership, transparency, integrity, and accountability for outcomes.
  • Fast execution, direct feedback, pragmatic iteration, and high technical standards.
  • Customer-focused engineering culture with emphasis on measurable business impact.
  • Opportunity to build a world-class AI platform for complex, high-volume enterprise customer interactions.
  • Commitment to GDPR and ISO 27001 data protection standards and equal opportunity employment.

Hiring process

  • Recruiter call.
  • Technical peer interview followed by a 360° technical interview loop.
  • Bar raiser interview.

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