Senior Full-Stack Engineer (AI-Native)

Description:

KayHut is a leading provider of cybersecurity solutions for the Israeli defense sector. The products developed by our R&D division are tailor-made to our clients' needs and have become an inseparable part of their core business.

We are looking for a Senior Full-Stack Engineer to join us in building a new production-grade system for the enterprise from scratch. This is a role for an experienced engineer who knows what it takes to bring such a system to production end to end, and treats AI as a core part of the toolkit, both as a force multiplier in how they build and as a first-class capability in what they build. In this role, you will be a key member of our growing team of developers, data scientists, and analysts. You will build a complex, data-intensive system that is powered by LLMs and intelligent agents, and provides a delightful experience to our users.

Responsibilities

• Help architect and build a new AI-native system from the ground up, making foundational design and technology decisions.
• Own features end to end, from design through production, deployment, and maintenance.
• Build AI-powered product features - integrate LLMs, RAG pipelines, agents, and ML models into production with attention to performance, reliability, guardrails, and observability.
• Work AI-natively - use AI coding assistants and agentic tools to accelerate design, implementation, testing, and review, while owning correctness and quality.
• Establish and improve the platforms, patterns, and tooling the team builds on.

Experience

• At least 7 years of hands-on experience as a full-stack engineer, including senior-level ownership of design and delivery.
• Strong full-stack proficiency in a Linux ecosystem across modern languages, frameworks, and runtimes (e.g., Python, JavaScript, TypeScript, React, Node.js).
• Experience building client/server applications that serve thousands of users or more with user-friendly web interfaces, complex application logic, and robust databases.
• Practical experience with AI-assisted development workflows.
• Experience working with production systems, including feature delivery, deployments, and ongoing maintenance.
• Strong ownership and sense of responsibility with excellent teamwork and communication skills.

Advantages

• B.Sc. in Computer Science, Software Engineering, or a related field.
• Experience building systems that integrate self-hosted LLMs or third-party AI APIs.
• Experience building agentic AI-native systems.
• Exposure to ML/AI fundamentals - model training, fine-tuning, and serving.