About monday.com:
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn’t just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you’re empowered to shape how organizations work and outpace their competition.
About the team:
Sidekick is monday.com’s AI assistant, used by 2M+ people to plan, analyze and get work done across the platform. We’re a small, senior group that turns the latest agentic research into features that run reliably at scale, and we own them end to end: from early prototype to production quality.
About the role:
Design, build and ship production AI agents: tool use, multi-step reasoning, memory and context management
Bring state-of-the-art agentic techniques into the product
Own agent quality: build offline evals (golden datasets, LLM-as-judge, regression suites) and online metrics, and drive improvements you can measure
Balance quality, latency and cost in production, with solid observability and tracing
Work with product and design to turn open-ended goals into shipped AI features
Requirements:
4+ years of software engineering experience, including hands-on work shipping AI agents or LLM-based features to production
Hands-on experience with agent frameworks (e.g., LangGraph, Vercel AI SDK or Claude Agent SDK) and core agentic patterns: tool calling and MCP, structured outputs, context management
Experience evaluating AI agents and LLM-based features, offline and online, to measure and improve quality over time
Comfortable owning ambiguous, open-ended problems end to end, from exploration and prototyping to production, with limited direction
Keeps up with a fast-moving field and adopts new techniques where they make a real difference
Nice to have:
TypeScript/Node.js (the team’s primary stack)
High-scale data infrastructure: Kafka, Cassandra, MySQL, CDC
Full-stack experience (React)
Background in data science or applied ML
Skills Required
- 4+ years of software engineering experience
- Hands-on experience shipping AI agents or LLM-based features to production
- Hands-on experience with agent frameworks such as LangGraph, Vercel AI SDK, or Claude Agent SDK
- Experience with tool calling, MCP, structured outputs, and context management
- Experience evaluating AI agents and LLM-based features offline and online
- Ability to own ambiguous, open-ended problems from exploration and prototyping through production with limited direction
- Ability to keep up with developments in AI and adopt effective new techniques
- TypeScript and Node.js experience
- Experience with Kafka, Cassandra, MySQL, or CDC
- Full-stack experience with React
- Background in data science or applied machine learning
What the Team is Saying
monday.com Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is highlighted, with multiple plan options and HSA availability. In some cases the employer covers a large share of premiums.
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Retirement Support — Employer 401(k) contributions are explicitly advertised, with automatic contributions described in U.S. postings. This creates a clear baseline of retirement support.
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Parental & Family Support — Fully paid parental leave is prominently featured, with substantial paid time available to both primary and secondary caregivers. This sits alongside paid sick leave and broader time-off provisions.
monday.com Insights
What We Do
At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.
Why Work With Us
At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!
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monday.com Teams
monday.com Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
monday.com embraces a flexible work environment with our hybrid model.
