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3 дня назад

AI & Software Infra Engineer (Agentic AI)

Формат работы
onsite
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 & Software Infra Engineer (Agentic AI): Building internal AI platforms, reusable SDKs, MCP servers, and AI-powered infrastructure and CI/CD workflows with an accent on agentic systems, Kubernetes, and production LLM applications. Focus on designing multi-agent execution, observability, evaluations, security guardrails, and reliable recovery workflows.

Location: Tel Aviv, Israel; onsite

Company

hirify.global develops behavioral biometrics technology using machine learning to analyze digital behavior for fraud prevention and online identity protection.

What you will do

  • Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers.
  • Develop single-agent and multi-agent workflows covering planning, delegation, memory, execution, retries, fallbacks, error recovery, and human approval.
  • Integrate AI capabilities into Kubernetes infrastructure and Jenkins and GitHub Actions CI/CD pipelines.
  • Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
  • Apply guardrails, access controls, auditability, and governance practices for safe agent execution.
  • Own AI platform capabilities from architecture through production and collaborate with engineering and business teams on scalable AI solutions.

Requirements

  • At least 5 years of hands-on development experience with Python and/or TypeScript.
  • Experience building asynchronous backend services and APIs with FastAPI or an equivalent modern framework.
  • Strong experience with Kubernetes, Helm, Docker, Jenkins, GitHub Actions, and AWS and/or Azure.
  • Familiarity with Infrastructure as Code, GitOps, and Git-based collaborative workflows.
  • At least 2 years of hands-on production experience building LLM-powered applications, AI agents, multi-agent systems, or internal AI platforms.
  • Experience with LangChain, LangGraph, Claude Agent SDK, OpenAI and/or Anthropic APIs, MCP servers and clients, AI evaluations, observability, prompt engineering, and agent security.

Culture & Benefits

  • Hands-on ownership of AI platform capabilities from architecture to production.
  • Opportunity to evaluate emerging AI frameworks, models, and cloud technologies.
  • Collaboration across engineering and business teams to improve developer productivity and technology adoption.

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