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2 месяца назад

Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (AI/Experimentation Systems): Building and scaling distributed systems for experimentation platforms, feature flags, and cost-effective data analytics with an accent on scalable architecture, resource allocation, and AI-native workflows. Focus on designing agentic workflows, operating Kubernetes-based services, optimizing cloud resource usage, and safely rolling out or rolling back product changes.

Location: Hybrid, Minato City, Tokyo, Japan; office in Roppongi

Company

hirify.global operates a marketplace platform focused on circulating value and connecting people through technology.

What you will do

  • Design and maintain scalable distributed systems for experimentation, feature flags, access control, resource allocation, and cost optimization.
  • Implement and maintain features in an existing codebase and scale the current product to handle 10x load.
  • Build systems supporting AI-native workflows, including automated configuration, control, and data utilization through AI agents.
  • Operate and debug services using observability metrics and Kubernetes.
  • Define, test, deploy, and independently deliver core features while collaborating with technical and non-technical stakeholders.

Requirements

  • Professional experience with Go, Python, and TypeScript.
  • Good computer science fundamentals and experience with cloud technologies.
  • Understanding of scalable distributed systems, stateless API design, and protocols such as gRPC.
  • Ability to develop a foundation in Domain-Driven Design, Event Sourcing, and Service-Oriented Architecture.
  • English proficiency at B2 level or above.
  • Japanese at A2 level is optional.

Nice to have

  • Experience with Bazel, Cuelang, Terraform, GCP, or Kubernetes.
  • Experience implementing parsers and virtual machines.
  • Knowledge of memory allocation optimization.

Culture & Benefits

  • Full flextime work with no core hours.
  • Engineering principles include product passion, continuous growth, mechanism-based problem solving, and open collaboration.
  • Work on an experimentation platform that enables scalable A/B testing and safe feature rollouts and rollbacks.

Hiring process

  • Application screening followed by a technical skill assessment through HackerRank or GitHub.
  • Interviews, reference checks, and a final offer decision based on the interview and references.

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