TL;DR
Team Leader (AI Agent Development): Managing and mentoring a team of engineers developing AI-based Agents, ensuring high-quality delivery across multiple projects with an accent on technical leadership, driving development processes, and stakeholder communication. Focus on overseeing end-to-end AI agent development, supporting architectural decisions, and upholding engineering best practices.
Location: Hybrid (Israel)
Company
hirify.global is a global leader in Identity Security, providing comprehensive security offerings for any identity across business applications, hybrid cloud workloads, and DevOps lifecycle.
What you will do
- Lead, mentor, and grow a team of AI-agent developers, fostering a collaborative and high-performance environment.
- Own team execution, including sprint planning, priorities, delivery commitments, and production support.
- Oversee end-to-end development of AI agents: design, implementation, integration, deployment, and continuous improvement.
- Maintain a clear capability matrix and roadmap across multiple agents and integrations.
- Communicate progress, risks, and status updates to product, management, and cross-functional teams.
- Provide hands-on technical leadership, reviewing code, supporting architectural decisions, and upholding engineering best practices.
Requirements
- Strong software engineering background with experience in AI/ML and LLMs, preferably agent-based systems.
- At least 3 years of team leadership experience, including mentoring, guiding execution, and managing deliverables.
- Track record of shipping complex projects and supporting production systems in a fast-paced environment.
- Excellent organizational and communication skills, able to manage multiple parallel efforts.
- Experience with cloud environments, modern development practices, and production monitoring tools.
- BSc in Computer Science or similar.
Nice to have
- Experience developing or maintaining AI agents or LLM-based systems.
- Ability to balance hands-on engineering with people leadership.
- Demonstrated ability to manage multi-stream execution with clarity and structure.
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