Senior Software Engineer - AI

monday.com, Israel
London
1 day ago
Create job alert

At monday.com, we’re on a mission to change how teams work by creating flexible solutions that supercharge productivity. Our Work OS helps teams streamline workflows, automate tasks, and get real-time insights.

Since launching our CRM product in May 2022, we’ve seen incredible growth—with over 25K paying accounts and skyrocketing ARR. It’s one of the fastest-growing CRM products, and were building a tool that people actually enjoy using while helping revenue teams move faster with groundbreaking features.

In 2025, we’re expanding our CRM into a full suite of products, including a marketing CRM. You’ll be part of the newly formed Marketing CRM team, diving into one of the most exciting opportunities we have—building an AI-native product from the ground-up and driving the future of AI at monday.com. This is your chance to make a lasting impact and help drive our products forward!

Please note this is a hybrid position of 3 days/week in our London office (Fitzrovia).

About The Role

You will work with experienced and highly talented engineers — who love what they do — with cutting-edge technologies in a data and impact-driven environment. We promote transparency, full ownership, teamwork, and a no-ego policy.

Our engineering department comprises different groups, each responsible for a crucial domain in the monday.com product. With over 300 engineers, we operate as part of cross-functional teams, defining, improving, building, and delivering features collaboratively.

  • Develop AI-powered features for the Marketing CRM product, helping customers reduce time-to-value and enhance their ability to deliver curated, targeted content.
  • Work within a cross-functional squad—including Product Management, Product Design, Product Engineering, and other AI Engineers—playing an active role in decision-making to build a cohesive and compelling product.
  • Guide your squad on architectural decisions and opportunities to integrate GenAI and AI agents into our technology, taking ownership of the outcomes.
  • Help grow our AI presence in London as one of the first product AI engineers on-site, leveraging monday’s significant investment in AI to enhance customer workflows.
  • Work with a cutting-edge stack in a company that prioritizes Developer Experience. Our stack includes Node.js, TypeScript, Python, MySQL, AWS, GitHub and MondayDev.

Note: Prior experience with our tech stack is not required; we welcome people willing to learn.

Your Experience & Skills

  • 6+ years in any software development background, writing production-quality code and delivering at high-velocity using modern engineering processes.
  • Proven track record leveraging LLMs to build elaborated, mission-critical products with real user adoption.
  • Comfortable working with databases, queues, and large-scale data pipelines to deliver high-performance products.
  • Strong advocate for your team—actively engaging in both product and technical discussions with empathy and championing best practices for AI and engineering.
  • A background in Data, Machine Learning, MLOps, also outside the realm of LLMs - an advantage.

What monday.com can offer you:

  • Opportunity to join a well-funded, proven company with big ambitions and potential, competitive salary, bonus and equity incentive program.
  • Private healthcare insurance with Vitality.
  • ClassPass membership.
  • Buffet breakfast and lunch offered at the office from Monday to Thursday.
  • Fully dedicated learning and development team that provides opportunities for our employees to hone and gain new skills.
  • Fun team events, socials and offsites.
  • Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! Weve been named "Best Place to Work" in the UK.
  • A global, dynamic and passionate environment with employees in Tel Aviv, London, New York, San Francisco, Miami, Chicago, Denver, London, Warsaw, Sydney, São Paulo, and Tokyo.

Are you currently based in the UK and within a commutable distance to London? Please note that we can only consider candidates who are based in the UK and able to come to the office in London three days a week (The office is in central London, Soho).

What are your salary expectations? Please specify whether you are referring to base salary or total compensation.

Do you require visa sponsorship?

Do you have experience applying LLMs to new or existing products (excluding building the LLMs themselves)? If so, please provide a brief example of a project youve worked on.

We believe in equal opportunity.

monday.com is an equal opportunity employer and bans discrimination and harassment of any kind. monday.com is committed to the standard of equal employment opportunity for all employees and to creating and maintaining a workplace free of discrimination and harassment.

All qualified applicants will be considered for employment regardless of any personal characteristic. We encourage candidates from all backgrounds to apply, regardless of their race, religion, national origin, ethnicity, sexual orientation, gender identity, age, marital status, family or parental status, physical or mental disability or any other status protected by the laws or regulations in the locations where monday.com operates.

monday.com is committed to working with and providing access and reasonable accommodation to applicants with any disabilities. If you think you may require accommodation for any part of the recruitment process, please send a request to .

All requests for accommodation are treated confidentially, as practical and permitted by law.

Meet the R&D team

The R&D Team is passionate about building innovative and lovable products, while tackling complex engineering problems at a great scale. We’re accountable for bringing the company’s vision to life by navigating our progress into flawless execution and encouraging full ownership and independence in all projects.

J-18808-Ljbffr

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineer

Senior Software Engineer (Frontend)

Senior Software Engineer Technical Lead

Senior Software Engineer - Python/DDD

Senior Backend Software Developer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.