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monday.com is an AI work platform used by 250,000+ customers to bring people, workflows, and AI agents together on one flexible platform. The Notetaker team is building the next generation of AI-native meeting experiences that go beyond recording, transcription, and summaries.
The team is creating a layer that connects meetings with monday.com's agentic ecosystem, enabling work discussed in meetings to be carried forward by AI agents—autonomously or with human oversight. The vision includes bringing real-time AI context, insights, guidance, and agents directly into conversations.
As a Senior AI Software Engineer on this team, you will:
- Build AI systems that transform meetings into actionable context, embeddings, retrieval mechanisms, and agentic execution flows.
- Work hands-on with advanced models across LLMs, audio, video, multimodal understanding, and autonomous agents.
- Design and implement real-time AI experiences and agentic workflows that move work from conversation to execution.
- Continuously evaluate emerging models and technologies, bringing the best capabilities into production at scale.
- Own complex problems end-to-end: from research and architecture through production, customer feedback, and iteration.
- Push the agentic software development lifecycle forward by improving context, tools, guardrails, and evaluations that enable agents to take on more of the engineering lifecycle.
- Raise the technical bar across the team through strong communication and collaboration.
The team works at the edge of multimodal AI, speech and video intelligence, real-time AI, context engineering, LLMs, and autonomous agents. You'll be part of a fast-moving, ownership-driven culture where you shape how organizations work.
REQUIREMENTS:
- 5+ years of professional software engineering experience with demonstrated strong technical skills building full-stack applications end-to-end.
- Exceptional software engineering fundamentals and experience building complex production systems.
- Hands-on experience with modern AI technologies, including LLMs, agents, multimodal models, audio, or video.
- Deep passion for AI and drive to stay at the forefront of what's possible, constantly learning and experimenting.
- Strong execution mindset: move fast, turn ambiguity into action, push ambitious ideas from exploration to production.
- Experience building with AI agents and continuously increasing autonomy across the SDLC.
- Strong system design skills and experience building modern backend and frontend applications at scale.
- High ownership, strong product intuition, and drive to push the technical bar forward.
- Strong communication and collaboration skills.
