AI Software Team Lead

An established enterprise software company developing cloud-based platforms for complex business operations and enterprise workflows. With a broad base of commercial clients, the company combines financial stability with continuous technological evolution.

The role offers high ownership, architectural influence, and team leadership within a solid corporate environment.

The office is located in Central Israel, operating on a hybrid model with one day working from home (with future flexibility).

Role Description

• Serving as an AI Software Team Lead (Hands-On), leading an agile squad of 4 AI/software engineers responsible for building the company's core AI infrastructure and applied intelligence solutions.
• Driving end-to-end technical strategy and hands-on architecture across Generative AI, Large Language Models (LLMs), and autonomous Agentic AI systems.
• Designing and implementing scalable, reusable enterprise AI frameworks, data integration layers, and multi-agent workflows embedded into existing cloud products and business processes.
• Leading production deployments: moving novel AI architectures from rapid Proof-of-Concept (PoC) stages to resilient, enterprise-grade Production environments.
• Architecting distributed backend services, microservices, and API integrations within modern Cloud infrastructure (specifically Azure).
• Providing professional mentorship, conducting architectural reviews, setting engineering standards, and aligning with product and business stakeholders to solve complex international trade domain challenges.

Requirements

• 5+ years of hands-on software engineering experience with strong core development capabilities – Mandatory
• 2–3 years of proven experience in team leadership or technical leadership (professional and/or people management) – Mandatory
• Deep, proven hands-on experience developing and shipping AI/ML, Generative AI, or LLM-driven solutions – Mandatory
• Advanced, hands-on programming expertise in Python – Mandatory
• Practical experience in building reusable AI infrastructure, AI platforms, or integrating AI capabilities into existing enterprise software products – Mandatory
• Strong background developing LLM-based or AI-First systems, including hands-on mastery of Prompt Engineering, RAG architectures, Vector Databases, and Agentic frameworks – Mandatory
• Proven track record taking AI/software systems from PoC to scalable Production – Mandatory
• Deep understanding of Microservices architectures, RESTful APIs, and distributed systems – Mandatory
• Practical experience deploying and managing services within Cloud environments, with a strong focus on Microsoft Azure – Mandatory
• B.Sc. in Computer Science, Software Engineering, or a related technological field – Advantage