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5 месяцев назад

Senior Backend Engineer (AI)

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

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TL;DR

Senior Backend Engineer (AI): Design, develop, and maintain AI-native products and features for customer engagement with an accent on scalable, high-quality solutions and continuous improvement. Focus on architecting systems, championing best practices, and integrating AI tools into engineering workflows.

Location: Hybrid in Noida, India

Company

hirify.global is a Series C startup that revolutionizes customer engagement by transforming contact centers into strategic assets using an AI-native platform.

What you will do

  • Design, develop, and maintain products and features serving millions of customers.
  • Own solutions end-to-end, from problem definition to scalable, high-quality coding.
  • Champion best practices in software engineering, code quality, testing, and operational excellence.
  • Collaborate on architecture, design, and evolution of new and existing systems.
  • Continuously explore and leverage AI tools and techniques to improve engineering workflows.
  • Take full ownership of code, ensuring production readiness, system stability, and observability.

Requirements

  • Bachelor’s degree or higher in Computer Science, Electronics, or related fields, or equivalent relevant experience.
  • 2+ years of backend engineering experience with expertise in at least one high-level programming language (preferably Python).
  • Strong hands-on experience with Django or similar frameworks.
  • Solid understanding of relational databases, data modeling, and REST API design.
  • Deep understanding of core Computer Science concepts: Algorithms, Data Structures, Object-Oriented Design, and Databases.
  • Demonstrated ability to integrate AI tools into engineering workflows.

Nice to have

  • Exposure to machine learning/NLP concepts.

Culture & Benefits

  • Work in an agile environment with fast feedback loops.
  • Foundational AI adoption in work, learning, and building.
  • Market-leading compensation based on skills and aptitude.

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