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1 день назад

Senior AI Ops Engineer

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
Senior AI Ops Engineer (AI platforms and DevOps): Building and operating production-grade AI agents, AI-enabled tools, and workflows for engineering and operational teams with an accent on agentic systems, AI SDLC platforms, and observability. Focus on designing evaluation frameworks, integrating LangGraph and LangChain, and maintaining the AWS, Kubernetes, CI/CD, and GitOps infrastructure behind reliable AI services.

Location: IL, Israel · Hybrid

Company

hirify.global provides a data-driven HR platform that helps mid-size and multinational businesses manage, engage, develop, and retain employees.

What you will do

  • Build and operate production-grade AI agents, AI-enabled tools, and workflows for developers and operational teams.
  • Design agentic systems with LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
  • Build and evolve an AI SDLC harness for planning, implementing, validating, governing, and safely delivering AI-assisted software changes.
  • Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
  • Develop automated evaluation frameworks, including LLM-as-a-judge, to improve AI system reliability and quality.
  • Maintain infrastructure, CI/CD pipelines, GitOps workflows, security controls, and internal developer tooling.

Requirements

  • 5+ years of experience in DevOps, Platform Engineering, SRE, or similar infrastructure-focused roles.
  • Strong coding experience in Python; Go is an advantage.
  • Hands-on experience building or operating production LLM applications and agentic workflows.
  • Experience with LangGraph, LangChain, Supervisor, AI SDLC platforms, or similar frameworks and harnesses.
  • Experience with AI observability and evaluation, preferably Langfuse, OpenTelemetry, and LLM-as-a-judge approaches.
  • Experience with AWS, Kubernetes, Helm, GitHub Actions, ArgoCD, internal developer platforms, or engineering automation.

Nice to have

  • Experience with RAG, knowledge bases, MCP, tool calling, and AI guardrails.
  • Experience with Terraform or OpenTofu, Crossplane, and the wider Argo ecosystem.
  • Experience with Datadog, Prometheus, service mesh technologies, or large-scale distributed systems.

Culture & Benefits

  • Hybrid work model balancing office and home-based work.
  • Temporary work-from-anywhere option for up to 2 months after 6 months of tenure.
  • Equity plan, social contributions, Keren Hishtalmut, and a monthly Wolt meal card benefit of ₪1,000.
  • Private health insurance, paid sick leave from the first day, wellness programs, and paid time off.
  • Additional paid parental leave, quarterly company-wide balance days, and paid volunteering days.
  • Home office allowance, transportation support, a pet-friendly office, and professional growth opportunities.

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