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2 дня назад

Backend Engineer with AI Experience

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
Backend Engineer with AI Experience (AI/Python): Building a company-wide AI platform with an accent on agent runtimes, tool and data layers, model gateways, and evaluation infrastructure. Focus on designing secure agent architectures, integrating LLM-powered workflows, and improving reliability, quality, cost, and latency in production systems.

Location: Tel Aviv-Yafo, Israel; hybrid work with regular in-office collaboration

Company

hirify.global provides digital intelligence data and solutions that help businesses understand online activity and make strategic decisions.

What you will do

  • Design and build the core agent platform, including runtime, orchestration, state and memory management, and a shared agent SDK.
  • Build and operate tool and connector layers, including MCP servers for hirify.global data, internal systems, and third-party services.
  • Develop LLM-based agents for internal workflows and convert reusable solutions into platform capabilities.
  • Implement integrations that enable agents to take automated actions on behalf of users.
  • Establish secure-by-default patterns for permissions, data access, PII handling, prompt-injection defense, and audit logging.
  • Evaluate and improve AI model and agent performance to deliver reliable, data-driven results.

Requirements

  • At least 5 years of software engineering experience.
  • Strong Python proficiency.
  • Hands-on experience with LangGraph, LangChain, or similar AI-agent frameworks.
  • Strong understanding of LLMs, prompt engineering, and AI-agent architectures.
  • Experience with REST APIs, asynchronous services, external data integrations, containers, and CI/CD.
  • Strong collaboration and communication skills with technical and non-technical stakeholders.

Nice to have

  • Experience with LLM providers, vector stores, MCPs, LLM evaluation, and observability tools.
  • LLMOps experience, including cost and latency optimization, semantic caching, model routing, and capacity planning.
  • Experience designing RAG systems over large or heterogeneous data sources.
  • Knowledge of AI security and safety, cloud environments, AWS, Kubernetes, and infrastructure as code.

Culture & Benefits

  • Partial work-from-home flexibility alongside in-office collaboration.
  • Competitive compensation and employee benefits.
  • Team outings, happy hours, and an emphasis on community.
  • Career development through coaching, learning programs, and opportunities for internal growth.
  • Inclusive culture focused on equality, mutual respect, and diverse perspectives.

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