About the Role
As an AI Engineer, you will design and build AI‑driven capabilities that enhance how users create, transform, and collaborate on the Miro canvas. Your work will bridge AI innovation and product delivery, shipping safe, reliable, and high‑performance experiences that leverage cutting‑edge LLMs while maintaining the 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.
* Excellent communication skills, able to translate complex technical concepts for non‑technical stakeholders.
* Strong Python skills and familiarity with front‑end technologies (e.g., TypeScript, React).
* 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 evaluations 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 (AWS, Azure, Amazon Bedrock).
* AI‑First proficiency: we’re looking for engineers who have moved beyond simple chat prompts and truly integrated AI into their development flow, such as using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production.
* 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
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.
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