This position may no longer be available
Posted . It may have been filled, expired, or closed.
This position may no longer be available
Posted . It may have been filled, expired, or closed.
About the Team
Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.
About the Role
As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.
What you’ll do
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
What you’ll need
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. We’re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it’s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
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
What's in it for you
We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.
Recruiter: