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4 часа назад

Backend Software Engineer (AI)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
middle/senior/lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Backend Software Engineer (AI): Building and optimizing scalable backend services and AI-integrated systems for a global CRM platform with an accent on distributed systems and AI-driven development. Focus on designing complex AI agent workflows, optimizing microservices in a multi-tenant SaaS environment, and ensuring high-quality, secure production code.

Location: Israel - Tel Aviv. Hybrid (1-3 days in office) or Office-Based (4-5 days in office).

Company

hirify.global is a global leader in CRM and cloud software, providing scalable SaaS solutions for millions of users.

What you will do

  • Develop production-grade software using AI as a core part of the development workflow.
  • Design and orchestrate complex systems integrating AI agents into human workflows to drive efficiency.
  • Build scalable components and algorithms for a multi-tenant SaaS cloud environment.
  • Contribute to all phases of the SDLC, including design, implementation, code reviews, and testing.
  • Maintain shared system context to enable AI to operate accurately and reliably.
  • Mentor junior engineers and provide technical guidance to the team.

Requirements

  • 3+ years of professional software engineering experience.
  • Proficiency in OOP languages such as Java, Python, Scala, C#, Go, Node, or C++.
  • Strong SQL skills and experience with relational and non-relational databases (e.g., Postgres, Mongo).
  • Experience developing SaaS products on public cloud infrastructure (AWS, Azure, or GCP).
  • Proven experience designing and developing distributed systems at scale.
  • Demonstrated AI-first approach, including proficiency with AI tools (e.g., GitHub Copilot, Cursor) and advanced prompt engineering.

Nice to have

  • Technical expertise in Generative AI, RAG systems, and Agentic workflows.
  • Experience with Big-Data, ML, and S3.
  • Hands-on experience with Kafka, Elastic Search, Terraform, Kubernetes, and Docker.
  • Experience working in a high-paced multinational organization.

Culture & Benefits

  • Flexible work model: Hybrid (1-3 days/week office) or Office-Based.
  • Wellbeing reimbursement and comprehensive health benefits.
  • Generous parental leave and adoption assistance.
  • Culture of autonomy and support for individual growth.

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