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1 день назад

Senior Backend Engineer (AI Platform)

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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TL;DR
Senior Backend Engineer (AI Platform) (Python/distributed systems): Building the backend platform for real-time conversational agents and offline video generation with an accent on high-throughput services, APIs, data stores, and asynchronous pipelines. Focus on designing foundational orchestration, integration, memory, retrieval, evaluation, and tracing components that are reliable, observable, and multi-tenant at enterprise scale.

Location: Bnei Brak, Israel; hybrid, flexible work environment.

Company

hirify.global is a global software company building AI-powered digital experiences from conversational agents, enterprise knowledge, rich media, and data.

What you will do

  • Design, build, own, and operate backend services and platform components from architecture and API design through production and on-call.
  • Build high-throughput, low-latency services for real-time streaming and batch or offline consumers.
  • Define service contracts, versioning, and extension points for reusable multi-team platform components.
  • Drive reliability, observability, performance, tracing, metrics, alerting, load testing, and capacity planning.
  • Lead technical design reviews and evaluate build-versus-adopt decisions for open-source and third-party tooling.
  • Mentor engineers and partner with AI research and customer-facing teams to turn prototypes into production systems.

Requirements

  • 6+ years of hands-on backend development building production systems at scale, with Python as a primary language.
  • Deep distributed-systems experience, including microservices, API design, asynchronous processing, message queues or event streaming, caching, and concurrency.
  • Strong data-layer skills with relational and NoSQL databases such as PostgreSQL, Redis, or Elasticsearch.
  • Production cloud experience with AWS or GCP, containers, Kubernetes, and CI/CD.
  • Experience building shared infrastructure consumed by other teams, such as gateways, registries, SDKs, or internal platforms.
  • Strong system-design skills and judgment balancing latency, cost, reliability, and delivery speed.
  • Familiarity with LLM orchestration frameworks such as LangChain or LangGraph, agent patterns, or MCP.

Nice to have

  • Platform-level observability with Langfuse or similar, including structured per-request tracing.
  • Experience with RAG, vector databases, or evaluation frameworks for LLM systems.
  • Hands-on experience integrating LLMs into backend systems through model APIs, tool or function calling, retrieval, and prompt handling.

Culture & Benefits

  • Hybrid and flexible work environment.
  • Extended private health insurance, including mental health coverage.
  • Personal and professional development programs.
  • Occasional cross-company long weekends.
  • Openness, flexibility, collaboration, initiative, and opportunities to make an impact and grow.

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