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Senior AI Engineer

Check Point Software Technologies
Location
Tel Aviv/ Hybrid (Israel), , Israel
Workplace
Hybrid
Employment
Full Time
Salary
—
Apply on the employer’s site

Posted 2mo ago

  • Design, develop, and maintain AI-powered applications, agents, and backend systems
  • Build intelligent workflows and agentic systems integrated into Check Point networking and security products
  • Develop scalable APIs, services, and infrastructure supporting GenAI applications in production
  • Integrate LLMs, RAG pipelines, vector databases, and orchestration frameworks into robust production systems
  • Collaborate closely with AI researchers, software engineers, infrastructure teams, and product groups to deliver end-to-end AI solutions
  • Improve scalability, reliability, observability, and operational excellence of AI systems
  • Explore and adopt modern AI engineering methodologies, frameworks, and tooling
  • Participate in architectural and technical decisions shaping the future of AI across Check Point products
  • 5+ years of experience as a Software Engineer
  • 1–2 years of hands-on experience building GenAI or LLM-based applications
  • Strong proficiency in Python and modern backend software engineering best practices
  • Experience building scalable distributed systems and cloud-native applications
  • Hands-on experience with GenAI technologies such as LangChain, LangGraph, MCP, RAG systems, vector databases, and agent frameworks
  • Experience integrating LLMs and AI services into production environments
  • Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP
  • Strong understanding of APIs, software architecture, and system design
  • Familiarity with networking and cybersecurity domains — strong advantage
  • Strong ownership, curiosity, and ability to work in fast-moving environments
  • BSc in Computer Science or related field — advantage

Skills

  • Generative AI
  • LLM
  • Retrieval-Augmented Generation
  • Vector Databases
  • Python
  • LangChain
  • LangGraph
  • Model Context Protocol
  • Azure AI Services
  • Docker
  • Kubernetes
  • AWS
  • Azure
  • GCP

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