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6 дней назад

Software Engineer, Innovation (AI)

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

Software Engineer, Innovation (AI): Building next-generation AI-powered security capabilities and agent-based workflows for hirify.global's product portfolio with an accent on rapid prototyping and production scaling. Focus on designing end-to-end AI systems, integrating LLMs, and developing scalable backend services to enhance enterprise cyber defenses.

Location: Hybrid in Tel Aviv, Israel

Company

hirify.global is an Exposure Management company providing cybersecurity solutions to 44,000 organizations worldwide, including a large portion of the Fortune 500.

What you will do

  • Design and build end-to-end AI-driven systems, including agent-based workflows and model integrations.
  • Develop backend services and data pipelines to transition prototypes into production-ready features.
  • Collaborate with product, engineering, and research teams to explore and validate new AI use cases.
  • Research and experiment with emerging AI technologies to create next-generation security defenses.
  • Integrate and operate AI and ML models across diverse technology stacks and product architectures.

Requirements

  • 8+ years of professional software engineering experience, with significant hands-on work in AI engineering or applied machine learning.
  • Expertise in building LLM-based applications, agents, and orchestration workflows.
  • Proficiency in Python and at least one backend language such as .NET or Go.
  • Strong understanding of backend system design, APIs, and distributed systems.
  • Experience with relational and non-relational databases, including data modeling and performance tuning.
  • Practical experience with DevOps practices, including CI/CD pipelines, containerization, and cloud deployments.

Nice to have

  • Experience designing and building AI agents for real-world workflows.
  • Hands-on experience training, fine-tuning, or evaluating ML models.
  • Familiarity with MLOps practices and model lifecycle management.
  • Experience in security, cloud platforms, or large-scale SaaS products.

Culture & Benefits

  • Work within a global CTO group focused on the frontier of AI and enterprise infrastructure.
  • Culture of belonging, respect, and excellence.
  • Opportunity to partner with top industry talent in a fast-paced, experimental environment.
  • Commitment to Equal Employment Opportunity (EEO).

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