AI Engineering Tech Lead - AI Foundations

Description:

monday.com is seeking an experienced, versatile AI Engineering Tech Lead to join the Big Brain group. Our mission is to builds products, AI agents, and workflows that empower monday.com employees to make better, data-driven decisions. Our customers are our employees. We design systems that transform customer signals into insights and actions, and we build AI agents that observe, reason, and enable teams to operate with clarity and confidence. This is a senior role with pivotal, company-wide impact and high visibility.

About the team:

You will be part of a dynamic BigBrain group, where collaboration and innovation are at the forefront of our culture. Our team is structured to work closely with various stakeholders, including Sales, Customer Success, R&D, and Operations, ensuring that we are aligned with the needs of our internal customers. We foster an environment that encourages open communication, creativity, and a shared commitment to excellence.

As an AI Engineering Tech Lead on the AI Foundations Team, you will play a crucial role in shaping how we leverage data to drive decision-making across the organization. Your key responsibilities will include:

- Design and develop scalable AI infrastructure that supports various AI products.

- Collaborate with cross-functional teams to integrate AI solutions into existing systems.

- Tackle complex engineering challenges and contribute to the evolution of our AI capabilities.

- Mentor junior engineers and share best practices to foster a culture of continuous learning.

- Designing, building, and owning systems that transform customer and business data into actionable insights.

- Building full-stack products and platforms that teams rely on for decision-making.

- Owning systems from data ingestion to user-facing experiences.

Our Stack - React.js, Node.js, Ruby on Rails, AWS, ElasticSearch, Redis, MySQL, Kafka, Langchain, n8n.

To be successful in this role, you should possess the following qualifications and skills:

- Strong technical skills and a passion for developing features end-to-end (client and server).

- 5+ years in Software Engineering roles.

- Strong experience building and owning production-grade, full-stack systems.

- Proven ability to design scalable systems and make sound architectural tradeoffs.

- Hands-on experience building or integrating AI agents and workflows.

- Comfort operating in ambiguous problem spaces with high business impact.

- Strong collaboration and communication skills when working with cross-functional teams.

- High ownership, accountability, and engineering standards.

- Degree in Computer Science (not a must; we're always looking for super talented people).