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Engineering Team Lead - Agentic System at monday.com

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Platform Engineering, Distributed Systems, Data Pipelines, RAG at Scale, LLM Orchestration, LangChain, LangGraph, System Architecture, Team Leadership, AI Native Engineering

Industry

Software Development

Description

We are the Tech & AI group within Monday’s Customer organization, building the “Agentic OS” - a unified agent architecture that delivers enterprise-level service through AI. As the Engineering Team Lead - Agentic System, you will own the Data, Knowledge, and Context layers that power our agents. This is the most senior engineering role in the group, responsible for translating agentic strategy into scalable, production-grade systems. You will partner closely with Product to build the orchestration engine behind our AI agents, enabling true state-awareness and persistent memory across agents About The Role Own the architecture and roadmap of the Knowledge & Context platform Build scalable data ingestion pipelines (Gong, Slack, internal systems, etc.) Lead the development of our state-awareness and memory infrastructure Design orchestration and middleware for multi-agent collaboration Manage and mentor a high-performing, AI-native engineering team Serve as the technical authority in cross-functional decision-making Requirements 3 years of experience leading engineers while remaining deeply technical Strong background in platform engineering, distributed systems, and data pipelines Hands-on experience with RAG at scale and LLM orchestration frameworks (LangChain, LangGraph, or similar) Proven track record of taking AI products from prototype to production Ability to translate complex architecture into clear execution plans Business-oriented mindset with strong Product partnership Social Title null Social Description null Our Team null Position Type null

Responsibilities

The role involves owning the architecture and roadmap for the Knowledge & Context platform, building scalable data ingestion pipelines, and leading the development of state-awareness and memory infrastructure for AI agents. This includes designing orchestration and middleware for multi-agent collaboration.