Miro

Miro

Miro is an online, visual collaboration platform designed to unlock creativity and accelerate innovation among teams of all kinds. The platform’s infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, ...

Internet Software & Services
1K-5K
Founded 2011
$476M raised

Description

  • Design, develop, and ship AI-driven capabilities such as agents, intelligent assistants, context-aware prediction, and generative AI.
  • Build high-performing AI workflows using LLMs, prompt engineering, and generative techniques while ensuring reliability, scalability, and maintainability.
  • Own end-to-end AI projects from conceptualization and prototyping through production delivery.
  • Collaborate closely with product managers, designers, and engineers to deliver AI features.
  • Experiment with and iterate on AI capabilities within the team’s domain and stay current on emerging AI tools and techniques.
  • Champion best practices for AI system development, including evaluations, LLMOps, CI/CD, observability, and ethical AI principles.
  • Measure and optimize AI performance across user engagement, model accuracy, latency, error rate, and drift.
  • Write clean, well-tested, maintainable code and participate in code reviews and technical discussions.
  • Troubleshoot and resolve production issues to maintain high availability and performance.

Requirements

  • 3+ years of professional experience delivering AI-first capabilities in customer-facing products.
  • Strong Python skills and familiarity with front-end technologies such as TypeScript and React.
  • Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs such as OpenAI GPT, Anthropic Claude, and Google Gemini.
  • Ability to develop high-quality, production-ready code within complex codebases.
  • Experience with LLM evaluation frameworks and building evals that inform model selection, prompt iteration, or feature quality.
  • Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks.
  • Experience with LLMOps and cloud services such as AWS, Azure, and Amazon Bedrock.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to use AI tools in the development flow for debugging, analysis, prototyping, and shipping features efficiently.
  • Nice to have: Experience with rendering technologies such as WebGL, Canvas API, or 2D graphics libraries like PixiJS or Skia.
  • Nice to have: Experience with real-time technologies such as WebSocket.
  • Nice to have: Experience with vector databases, RAG pipelines, LangChain, or agent frameworks.
  • Nice to have: Experience with multi-modal AI or long-context handling.
  • Nice to have: Experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

Benefits

  • Equity as part of the global benefits package.
  • Wellbeing benefit.
  • WFH equipment allowance.
  • Annual Learning & Development stipend.
  • Location-specific full benefits may vary depending on where you work.

Interested in this position?

Apply directly on the company website

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