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2 дня назад

AI Backend Engineer (Cybersecurity)

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

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TL;DR

AI Backend Engineer (Python/TypeScript): Developing and deploying advanced AI/ML solutions and backend services for identity and security products with an accent on AI agent orchestration and LLM integration. Focus on building scalable APIs, implementing RAG architectures, and optimizing AI-powered applications at scale.

Location: Hybrid in Tel Aviv-Yafo, Israel

Company

hirify.global provides a platform that fuses customer identity and anti-fraud solutions for large consumer-facing businesses in banking, fintech, gaming, and ecommerce.

What you will do

  • Design, develop, and maintain backend services for AI agents and tool integrations.
  • Build scalable APIs and microservices that interface with LLMs and AI frameworks.
  • Implement agent orchestration systems, tool calling mechanisms, and workflow engines.
  • Optimize performance and reliability of AI-powered applications at scale.
  • Develop data pipelines for training, evaluation, and monitoring of AI systems.
  • Integrate with various LLM providers such as OpenAI and Anthropic.

Requirements

  • At least 5 years of experience building reliable backend services, agents, and tooling using Python and TypeScript.
  • Experience designing and deploying production systems with ML components, including APIs, microservices, and MLOps workflows.
  • Proficiency in prompt engineering, LLM optimization techniques, and RAG architecture.
  • Solid understanding of distributed systems, performance optimization, and observability.
  • Strong communication skills to bridge technical, product, and business perspectives.
  • Must be based in or be able to work hybrid in Tel Aviv-Yafo, Israel.

Nice to have

  • Experience with agent frameworks like LangChain, LlamaIndex, or AutoGPT.
  • Experience with message queues (RabbitMQ, Kafka) and event-driven architectures.
  • Background in cybersecurity, fraud prevention, or identity management.
  • Knowledge of ML/AI concepts and model deployment.

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