senior machine learning AI Engineer ic

About this role

monday.com is hiring a senior-level AI Engineer in the machine learning function based in Tel Aviv, Israel. The posting calls out experience with LLMs, Data Modeling, Machine Learning, Full Stack.

Role
AI Engineer
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Tel Aviv, Israel
Department
Management

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Job description

from monday.com careers

Description

We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

About the team

We’re looking for a Tech Lead to join our Agent Labs team. 

The Agent Labs group is responsible for building a portfolio of independent, early-stage startups from the ground up within the monday.com ecosystem. Each initiative operates as a high-autonomy startup - with its own product vision, technical stack, and pace.

As a Tech Lead in the Incubation team, you’ll play a key role in shaping new products from zero to one. This role requires a strong builder mentality, deep technical ownership across the stack, and a founder-like mindset: moving fast, making decisions under ambiguity, and continuously experimenting, iterating, and evolving both product and technology.

About The Role

  • Implement robust backend infrastructure that supports AI and Generative AI capabilities, enabling internal and external developers to easily integrate and leverage AI-powered features.
  • Architect and optimize the infrastructure for deploying, serving, and managing machine learning and deep learning models in a production environment.
  • Work closely with data scientists to transition models from research and development into scalable, real-time production systems.
  • Evolve our architecture and engineering to support the ever-growing scale of AI features and data processing.
  • Our stack - Typescript, node.js, Postgresql, and React.

Requirements

  • 6+ years in fullstack/backend development, with focus on building high performance systems at scale
  • Strong understanding of databases and data modeling techniques
  • Team player, strong communication skills, empathetic, and someone who thrives working in a fast-paced environment.
  • Experience with micro-services architecture, event sourcing and modem frameworks - an advantage
  • Previous knowledge and experience with LLMs - an advantage
  • Deploying and serving ML and DL models in production - an advantage
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