About The Team
Our team's mission is to drive AI-powered success and innovation in Miro by building robust technical foundations and delightful, intelligent product features. We empower both internal and external teams to innovate with AI efficiently and responsibly. We believe the future of Miro is AI-augmented — and we're building the path to get there.
About The Role
As an AI Engineer at Miro, you will play a key role in designing, developing, and shipping the AI-driven capabilities that enhance Miro's customer experience from ideation to delivery. You will be responsible for engineering high-performing AI workflows that power features like intelligent assistants, context-aware prediction, and generative AI.
What You'll Do
- Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—that enhance Miro's customer experience, from ideation to delivery
- Execute end-to-end ML projects: from conceptualizing use cases to prototyping, training, evaluating, and deploying models into production
- Engineer high-performing AI workflows leveraging off-the-shelf large language models (OpenAI, Anthropic Claude, Google Gemini, etc.), prompt engineering, retrieval-augmented generation (RAG), and generative techniques—ensuring reliability, scalability, and maintainability
- Collaborate cross-functionally with product managers, designers, engineers, and researchers to translate business goals into AI solutions, and to iterate rapidly through feedback and experimentation
- Champion best practices in AI system development—including evaluations, reproducibility, MLOps, CI/CD, observability, and version control—aligned with ethical AI and responsible development principles
- Measure and optimize AI performance, establishing benchmarks for outcomes like user engagement, model accuracy, latency, error rate, and drift
- Stay ahead of the curve by evaluating emerging AI tools, frameworks, and techniques—and advocating for their application across Miro
What You'll Need
- A solid grounding in machine learning fundamentals, including probabilistic modeling and deep neural networks
- Demonstrated track record in prompt engineering and context engineering using top-tier LLMs—e.g., OpenAI GPT models, Anthropic Claude, Google Gemini
- Experience delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with
- Comfortable translating and communication complex technical concepts for non-technical stakeholders in user-facing documentation or demos
Benefits
- Competitive equity package
- Medical/health insurance coverage
- Lunch, snacks and drinks provided in the office
- Wellbeing benefit and WFH equipment allowance
- Annual learning and development allowance
- Travel allowance for commute
- Opportunity to work for a globally diverse team