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2 часа назад

Senior Data & AI Engineer (Cybersecurity)

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

Senior Data & AI Engineer (AI/Cybersecurity): Designing and scaling production-grade data pipelines and LLM-powered agentic systems for a cybersecurity optimization SaaS platform with an accent on RAG pipelines, event-driven architectures, and AI-driven automation. Focus on building multi-step reasoning flows, optimizing data integrity via Databricks/Spark, and developing intelligent cybersecurity features to identify network vulnerabilities.

Location: Herzliya, Israel

Company

hirify.global is a data-driven cybersecurity optimization SaaS platform that helps organizations continuously improve their cyber resilience by identifying and remediating network weaknesses.

What you will do

  • Design and scale production-grade data pipelines using Databricks, Spark, and cloud-native technologies.
  • Develop scalable backend services and APIs using microservices and event-driven architectures.
  • Prototype and integrate LLM-powered systems, including RAG pipelines and agentic workflows using LangGraph and vector databases.
  • Implement AI-assisted engineering tools to increase development velocity and code quality.
  • Collaborate with Security Researchers to transform complex data into actionable, AI-powered cybersecurity insights.

Requirements

  • Location: Must be based in Herzliya, Israel
  • 3+ years of professional Python development experience in production environments.
  • Hands-on experience with Spark, Kafka, Databricks, and SQL for data lake architectures.
  • Proven track record building LLM systems using OpenAI, Anthropic, or AWS Bedrock.
  • Deep knowledge of RAG, embeddings, vector databases, and prompt engineering.
  • Proficiency with Git, CI/CD practices, and deploying scalable AI/data pipelines in cloud-native environments.

Nice to have

  • Background in cybersecurity, threat intelligence, or security-focused data models.
  • Experience building developer-productivity tools or evaluation harnesses.
  • Knowledge of COGS optimization and FinOps for SaaS AI systems.

Culture & Benefits

  • Opportunity to work in a world-class team of cybersecurity experts.
  • Engagement at the intersection of data engineering, LLM-powered systems, and cybersecurity innovation.
  • Collaborative environment focusing on the synergy between AI and deep human expertise.

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