Miro
1001 - 5000 employees
☁️ SaaS
⚡ Productivity
🤖 Artificial Intelligence
💰 $400M Series C on 2022-01
SaaS • Productivity • Artificial Intelligence
Miro is an AI-powered collaboration platform designed to help teams streamline their innovation processes, from initial idea to final outcome. With over 80 million users and 250,000 companies using its services, Miro provides a versatile workspace for organizing project information, creating interactive prototypes, structured briefs, project plans, and diagrams. It integrates with tools like Google, Microsoft, Adobe, and Jira, enhancing productivity and collaboration across various functions including product development, UX design, engineering, marketing, IT, and more. Miro's Intelligent Canvas offers an adaptable environment for brainstorming, project management, and execution, supported by AI features like rapid prototyping and decision-making assistance. Its robust security and governance controls ensure the protection of users' intellectual property. Miro caters to organizations of all sizes, providing customizable templates and numerous integrations to fit diverse workflow needs.
AI Engineer
Job not on LinkedIn
🔥 0 minutes ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Miro
1001 - 5000 employees
☁️ SaaS
⚡ Productivity
🤖 Artificial Intelligence
💰 $400M Series C on 2022-01
SaaS • Productivity • Artificial Intelligence
Miro is an AI-powered collaboration platform designed to help teams streamline their innovation processes, from initial idea to final outcome. With over 80 million users and 250,000 companies using its services, Miro provides a versatile workspace for organizing project information, creating interactive prototypes, structured briefs, project plans, and diagrams. It integrates with tools like Google, Microsoft, Adobe, and Jira, enhancing productivity and collaboration across various functions including product development, UX design, engineering, marketing, IT, and more. Miro's Intelligent Canvas offers an adaptable environment for brainstorming, project management, and execution, supported by AI features like rapid prototyping and decision-making assistance. Its robust security and governance controls ensure the protection of users' intellectual property. Miro caters to organizations of all sizes, providing customizable templates and numerous integrations to fit diverse workflow needs.
📋 Description
• Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL • Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability • Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers • Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques • Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles • Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift • Write clean, well-tested, maintainable code, participating in code reviews and technical discussions across the stream • Troubleshoot and resolve production issues, ensuring high availability and performance
🎯 Requirements
• 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with • Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders • Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc) • Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini) • Ability to develop high-quality, production-ready code within complex codebases • Experience with LLM evaluation frameworks and a track record of building evals that meaningfully 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 (AWS, Azure, Amazon Bedrock, etc.) • AI-First Proficiency. We’re building for an AI-first future, and we’re looking for graduates who aren’t just using AI—they’re mastering it. • Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia) • Nice-to-have: Real-time technologies experience (WebSocket) • Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks • Nice-to-have: Multi-modal AI or long-context handling • Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers
🏖️ Benefits
• equity • wellbeing benefit • WFH equipment allowance • annual Learning & Development stipend
Apply Now
