Senior AI Engineer

About the role

You will own the core AI decision-making pipelines that convert complex endpoint telemetry into autonomous security actions across the enterprise environment. You will architect intelligent reasoning workflows and advanced data classification systems that operationalize Glow's preventive security model. Your work will center on building resilient, production-grade AI capable of deep policy comprehension and real-time prevention at the point of adoption. You will drive the autonomous remediation of existing risks while ensuring security acts as a force multiplier for the business. This role positions you at the forefront of defining how AI agents execute preventive operations in fast-moving enterprise settings. You will collaborate closely with a lean, elite engineering team to shape AI strategy from the ground up. Your contributions will directly influence how Glow transforms endpoint protection through agentic-first intelligence.

Key facts

What you'll do

• End-to-End Ownership: Take complete responsibility for our AI capabilities, guiding initiatives from exploratory research and architectural design through to production deployment, optimization, and continuous monitoring in live environments.
• Design & Build Agentic Workflows: Engineer multi-step autonomous agents that can independently investigate workspace risks, interpret intricate enterprise policies, and execute precise remediation actions without constant human oversight.
• Integrate Multi-Faceted ML: Lead innovation across our core engine by implementing diverse machine learning models throughout the research and product pipeline, including clustering, text extraction, document analysis, and tabular data classification.
• Ship Production-Grade AI: Develop high-throughput, resilient, and fault-tolerant production code that ensures our AI pipelines and agentic workflows remain highly predictable and observable under enterprise-grade loads.
• Implement Guardrails & Evaluation: Construct continuous evaluation frameworks to rigorously benchmark agent accuracy, actively mitigate hallucinations, and enforce strict data security and privacy guardrails.
• Optimize Data Context Pipelines: Build and refine the data-rich contexts that power our agents, ensuring seamless interaction with critical infrastructure like Postgres and ClickHouse to support complex decision-making.
• Drive Product Impact: Maintain a product-driven focus, selecting the most effective tools - whether simple heuristics or sophisticated fine-tuned models - to maximize user value and operational efficiency.
• Collaborate Across Teams: Work hand-in-hand with security researchers, product managers, and infrastructure engineers to align AI initiatives with real-world threat landscapes and business objectives.

Requirements

• Agentic Expertise: Demonstrate deep experience with LLMs and the modern agentic stack, including LangGraph, AutoGPT patterns, tool-calling, and orchestration frameworks for complex multi-step tasks.
• Full-Stack Data Science Mindset: Think and operate as a coder first, capable of diving into large codebases, understanding backend services, and writing production-grade code without reliance on separate data science teams.
• Product-Driven Research Approach: Obsess over measurable impact, choosing the simplest heuristic or most complex fine-tuned model based on which solution delivers the highest user value in production.
• Data & System Fluency: Possess strong proficiency in Python and SQL, with hands-on experience interfacing with Postgres and ClickHouse to construct the data contexts required for robust agent reasoning.
• Engineering Rigor: Apply disciplined engineering practices to version control, testing, and CI/CD, treating prompts and model configurations with the same rigor as production software code.
• The Glow Mindset: Embrace ownership, accountability, open collaboration, and a focus on meaningful impact while thriving in fast-moving, ambiguous environments and solving hard problems as part of a cohesive team.
• Education: Hold a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or possess equivalent practical experience within a high-growth AI environment.
• Communication: Demonstrate full professional fluency in both Hebrew and English for clear collaboration and precise technical communication.

Nice to have

Not applicable, as the SOURCE does not specify any preferred additional qualifications or skills beyond the stated requirements.

Practical notes

The role is based in Tel Aviv and requires full-time engagement. Candidates must meet all eligibility criteria as outlined in the requirements section. No additional hours, travel expectations, visa information, or application deadlines are specified in the SOURCE material.