Staff Software Engineer (AI)

Location: Tel Aviv District, Israel

Company

hirify.global provides a cloud-native platform converging enterprise networking and security through a SASE architecture.

What you will do

• Partner with R&D teams to identify high-impact AI opportunities in developer workflows, internal tooling, and product engineering.
• Build and evolve the shared AI platform, including user interfaces, backend services, cloud infrastructure, deployment, and production operations.
• Develop an AI software factory that orchestrates AI agents, tools, and workflows across the software lifecycle for 600+ engineers.
• Create AI onboarding guidelines, reusable patterns, and best practices; educate teams on AI capabilities, limitations, and responsible use.
• Evaluate and pilot new AI technologies, models, and tools, taking solutions from prototype to production.
• Own quality, reliability, and continuous iteration of delivered systems.

Requirements

• 7+ years of hands-on software engineering experience, including writing, maintaining, and delivering production-quality code.
• Hands-on experience building, maintaining, and operating production systems on AWS, including system design, deployment, monitoring, troubleshooting, reliability, and scalability.
• Strong GenAI development experience with LLMs, prompt and context engineering, and agent-based systems.
• Experience with agentic frameworks and platforms such as AWS Bedrock AgentCore, LangChain, LangGraph, or similar.
• Experience designing and building agentic AI workflows and LLM-powered applications and bringing them to production.
• Knowledge of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices.
• Proactive, independent, hands-on, and impact-driven builder mindset.
• Excellent interpersonal and communication skills, including building trust, listening, and translating between business and technical needs.
• Strong passion for AI and continuous experimentation with emerging technologies.

Nice to have

• Experience building developer-facing tooling or platforms adopted across an engineering organization.
• Experience with enterprise AI governance, evaluation frameworks, security, compliance, and privacy.
• Familiarity with networking, security, or SASE.
• Open-source contributions, side projects, or experimentation with the latest AI tooling.

Culture & Benefits

• Work with an AI Enablement group positioned at the center of R&D and collaborating with every engineering team.
• Influence how hundreds of developers build and ship software with AI.
• Own systems from architecture through production operations and work on strategic cross-R&D initiatives.