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7 дней назад

Senior Backend Engineer (Agentic AI)

Формат работы
remote (только Israel)
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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TL;DR
Senior Backend Engineer (Agentic AI) (Python/LLM/AWS): Building production-grade backend services and LLM-powered agents for sovereign national cyber-defense systems with an accent on scalable architecture, data modeling, and secure deployment. Focus on designing agentic workflows, integrating tool calling and retrieval, and operating reliable systems in highly secure and regulated environments.

Location: Remote, associated with Tel Aviv-Jaffa, Israel

Company

hirify.global develops sovereign AI and national cyber-defense systems for governments, securing critical infrastructure and transforming sensitive national data into actionable intelligence.

What you will do

  • Design, build, and operate scalable backend services in Python.
  • Build and integrate LLM-based agents using prompt orchestration, tool and function calling, and agentic architecture patterns.
  • Own data modeling and database design for complex production systems.
  • Connect backend and AI capabilities to user-facing applications.
  • Containerize and deploy services in AWS environments.
  • Build automated testing and CI pipelines while applying secure SDLC practices.

Requirements

  • 4+ years of experience building production-level backend services in Python.
  • Strong experience with modern Python frameworks, preferably asynchronous frameworks such as FastAPI.
  • Production experience building or integrating LLM-based agents, including prompt orchestration, tool or function calling, and agentic architectures.
  • Practical experience with data modeling and database design.
  • Working knowledge of frontend frameworks such as React or Vue.
  • Experience with Docker, AWS services, automated testing, CI pipelines, and secure software development.

Nice to have

  • Cybersecurity domain experience.
  • Kubernetes experience, particularly with self-managed or on-premises clusters.
  • Experience with vector databases such as Pinecone or Milvus, embedding-based retrieval, or RAG systems.
  • Experience with AI-agent evaluation, guardrails, or observability tools.
  • Experience in air-gapped, highly regulated, or secure enterprise environments.

Culture & Benefits

  • Work on sovereign AI and national cyber-defense systems at global scale.
  • Collaborate with AI researchers, cyber operators, and government experts.
  • Build systems where reliability, precision, engineering quality, and secure deployment are critical.

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