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AI Software Team Lead

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Onsite

AI Software Team Lead

בי נט ייעוץ והשמה כ''א בע''מ

AI Software Team Lead

Skills

PythonTesting & QAMicroservicesMachine LearningAIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Ra'anana, Israel

Work mode:

Onsite

Published on:

24 September 2026

What they need


The team is responsible for both building AI infrastructure and reusable capabilities and delivering AI-driven use cases across our existing products and our new AI-First platform. Lead and manage an AI team of approximately 4 people, including QA, both professionally and managerially. Lead the development of AI infrastructure — reusable infrastructure, components, services, and capabilities across products and use cases, under the guidance of the CTO. Lead the development of AI use cases that address real business processes and customer needs.

Lead the development of solutions based on Generative AI, LLMs, and Agentic AI. Own code quality, development processes, testing, and bringing AI solutions to a Production-ready state. Take hands-on responsibility for developing AI solutions, primarily using Python. Work closely with Product, Architecture, Development, and QA teams.

Mentor team members and support their professional growth. Drive end-to-end delivery, from ideation and PoC through to stable Production solutions. 5+ years of software development experience, with strong hands-on capabilities. 2–3 years of experience leading a development team, professionally and/or managerially.

Proven experience developing AI/ML, Generative AI, or LLM-based solutions. Strong hands-on experience with Python. Experience building AI infrastructure, AI platforms, or reusable AI components. Experience in integrating AI capabilities into existing software products and business processes.

Experience developing AI-First systems or LLM/Agent-based solutions. Experience working with APIs, microservices, and distributed systems. Experience working in cloud environments, particularly Azure. Hands-on experience with LLMs, Prompt Engineering, RAG, Vector Databases, and Agent frameworks.

Experience taking products or systems from PoC to Production. B.Sc. in Computer Science, Software Engineering, or a related field – an advantage.

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