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9 часов назад

Backend Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore/US/Israel +1 еще
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
Backend Engineer (AI) (TypeScript/Python): Design and deliver secure, scalable backend services, APIs, and microservices for cloud-based intelligent decisioning products with an accent on LLM integration, agentic AI, and high availability. Focus on building modular cloud-native architectures, integrating AI capabilities into backend workflows, and optimizing performance, security, and deployment reliability.

Company

hirify.global develops cloud-based intelligent decisioning solutions for insurers and banks, covering pricing, rating, underwriting, and product personalization.

What you will do

  • Design, develop, deliver, and document secure and scalable backend services and APIs.
  • Build and maintain highly available, high-performance microservices-based systems using cloud-native architectures.
  • Integrate LLMs, AI capabilities, and agentic tools into backend workflows and product services.
  • Collaborate with AI Product Owners, Architects, and LLMOps on technical solutions and architectural consistency.
  • Apply TDD, clean code, continuous integration, and collaborative code review practices.
  • Contribute to modular and extensible architectures that support future product growth.

Requirements

  • 6+ years of backend software engineering experience.
  • Strong proficiency in TypeScript and/or Python for backend development.
  • Experience designing and deploying microservices in Microsoft Azure or AWS cloud environments.
  • Hands-on experience with Docker, Kubernetes, and ArgoCD.
  • Knowledge of LLM and AI tool integration into backend systems.
  • Understanding of CI/CD pipelines, security best practices, performance optimization, Kanban, and collaborative development.

Nice to have

  • Familiarity with AI agent frameworks, LangGraph, MCP, or similar technologies.

Culture & Benefits

  • Cross-functional collaboration with product, architecture, and LLM operations specialists.
  • Emphasis on proactive problem-solving, technical quality, and system stability.
  • Support for continuous learning and skills development.
  • Collaborative development practices including code reviews and Kanban methodology.

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