Senior Software Engineer- AI group

This job is with Monday.com, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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 are seeking experienced engineers to join our brand-new AI R&D group within the platform. You will take part in implementing generative AI capabilities within monday.com AI platform, including defining the strategy of using LLMs, creating the foundation for cross teams implementation and productizing it as part of our platform offering.



About The Role

• Implement backend infrastructure that supports generative AI capabilities, enabling both internal and external developers to easily integrate and leverage AI-powered features within monday.com's ecosystem
• Evolve our architecture and engineering to support the ever growing scale of users, features and data
• Working closely with engineers, data scientists, product managers and designers to build production-ready infrastructure for more than 2 million users
• Our stack - Python, Typescript, node.js, MySQL and React
  
  

• 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