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10 дней назад

Backend Engineer - AI Team - Paradox (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Backend Engineer - AI Team - Paradox (AI): Building production-grade backend services, APIs, and infrastructure that bring LLM-powered products to life at scale with an accent on performance, reliability, observability, and AI model evaluation. Focus on designing distributed systems, integrating LLM-based products, and developing resilient architectures for real-world production flows.

Location: Tel Aviv, Israel; hybrid work with three days in the office and two days at home.

Company

hirify.global is a Fortune 500 company and AI platform for managing people, money, and intelligent agents; the Paradox team builds conversational AI products for hiring.

What you will do

  • Design and implement high-performance backend services and APIs for core AI products.
  • Build scalable, resilient infrastructure that integrates LLM capabilities into production systems.
  • Bridge AI research and production software by improving latency, reliability, and observability.
  • Design LLM evaluation frameworks for assessing and integrating new models into production flows.
  • Drive engineering quality through architecture, code reviews, distributed-systems practices, and product-focused decisions.

Requirements

  • 3+ years of hands-on backend software development experience with complex distributed systems.
  • Strong Python, modern backend technology, and API design skills.
  • Production experience developing LLM-based products such as agents or RAG systems.
  • Experience with system architecture, AWS or GCP, and CI/CD workflows.
  • Knowledge of relational and non-relational databases, automated testing, and Clean Code principles.
  • Fluent English and authorization to work in Israel are required.

Nice to have

  • Experience with vector databases, LLM observability tools, conversational AI, or dialogue management.
  • Familiarity with MLOps and monitoring LLM performance in production.
  • Background in data science or data engineering.

Culture & Benefits

  • Hybrid work model combining in-person collaboration with remote work.
  • Flexible scheduling aligned with business, team, and personal needs.
  • Support for reasonable accommodations during the application and employment process.
  • Work in a large-scale AI organization focused on next-generation hiring technology.

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