New Ventures at monday.com is expanding into new, AI-native product areas, and we’re looking for an exceptional AI Engineer to join our fast-moving, high-impact team. Our team develops new products from the ground up, combining startup velocity with the scale, reach, and engineering excellence of monday.com.
The team built workcanvas.com and workassets.ai, and continues to explore and launch new product ventures. As part of a small, highly talented engineering group, you’ll play a key role in shaping the AI foundations, agent architectures, and intelligent systems powering these products and future initiatives.
This is a rare opportunity to define how AI-native products are built at monday.com—from core infrastructure and agent orchestration to model quality, evaluation, and continuous improvement in production.
#LI-DNI
About The RoleJoin a tight-knit team building the next generation of collaborative, AI-powered products. We experiment quickly, validate ideas fast, and ship frequently. You’ll collaborate with senior engineers, designers, and product managers to push the boundaries of what’s possible with modern AI.
What you’ll do:
- Architect and build AI-native systems from 0→1, including autonomous agents and intelligent workflows
- Design and implement agent orchestration frameworks (memory, planning, tool usage, self-reflection, and recovery)
- Own the full lifecycle of model quality—from experimentation and evaluation to production monitoring and continuous improvement
- Design and build evaluation frameworks (offline benchmarks, online experiments, A/B testing) to guide model and product decisions
- Monitor production AI systems, tracking quality, latency, cost, and failure modes (e.g., hallucinations, drift), and drive iterative improvements
- Rapidly experiment with models, prompts, and architectures, using structured evaluation to identify the best solutions
- Translate cutting-edge LLM capabilities into reliable, scalable, production-grade systems
- Collaborate closely with product, design, and full-stack engineers to shape AI-driven user experiences
- Take ownership of AI features end-to-end—from research and prototyping to deployment and monitoring
- Help define best practices for building, evaluating, and operating AI-native products across the organization
Our Tech Stack:
React (Next.js), Node.js, TypeScript, PostgreSQL, Google Cloud Platform (GCP), Cloudflare, and modern AI/LLM tooling.
Requirements- Proven experience building and deploying production-grade AI systems (beyond prototypes or demos)
- Strong software engineering foundation with 4+ years of experience in backend or full-stack development
- Deep familiarity with modern AI tooling and ecosystems (LLM APIs, embeddings, vector databases, RAG pipelines)
- Hands-on experience designing evaluation and monitoring systems for LLM-based applications in production
- Experience designing or working with agent-based systems (e.g., ReAct, tool use, multi-step reasoning loops)
- Strong understanding of system design, scalability, and reliability in distributed environments
- Experience running structured experiments (e.g., A/B tests, prompt/model comparisons) and using data to drive decisions
- Ability to navigate ambiguity and rapidly evolving technologies
- Strong communication skills and a collaborative, product-oriented mindset
Advantages:
- Experience building AI-native or agent-based products from scratch
- Familiarity with LLM observability tools, tracing, and debugging workflows
- Experience with real-time systems, WebSockets, or collaborative environments
- Background in rapid prototyping, experimentation, or startup-like environments
AI Engineer – New Ventures
Skills Required
- Proven experience building and deploying production-grade AI systems
- Strong software engineering foundation with 4+ years of experience in backend or full-stack development
- Deep familiarity with modern AI tooling and ecosystems
- Hands-on experience designing evaluation and monitoring systems for LLM-based applications
- Experience designing or working with agent-based systems
- Strong understanding of system design, scalability, and reliability
- Experience running structured experiments and using data
- Ability to navigate ambiguity and rapidly evolving technologies
- Strong communication skills and collaborative mindset
What the Team is Saying
monday.com Compensation & Benefits Highlights
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Retirement Support — A 401(k) with a guaranteed 3% company contribution regardless of employee deferral, plus equity eligibility and an ESPP, strengthens long‑term financial security. This flat contribution adds predictable value alongside stock programs.
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Parental & Family Support — Up to 13 weeks fully paid parental leave for all caregivers, adoption assistance, and an onsite mother’s room indicate robust family support. Access to fertility support is also described.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks include free in‑office breakfast, a monthly meal stipend around $300, a commuter stipend around $130, snacks, and a monthly wellness stipend, alongside 12 EAP sessions. These allowances complement medical, dental, vision, life, and disability insurance.
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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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
monday.com embraces a flexible work environment with our hybrid model!
