AI Engineer

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, Type Script, React, Canvas, and Web GL
• Engineer high‑performing AI workflows leveraging LLMs (Open AI, 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 (Open AI 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 Web GL, Canvas API, or 2D graphics libraries (Pixi JS, Skia)
• Nice‑to‑have: Real‑time technologies experience (Web Socket)
• Nice‑to‑have: Vector databases, RAG pipelines, Lang Chain, or agent frameworks
• Nice‑to‑have: Multi‑modal AI or long‑context handling
• Nice‑to‑have: ML frameworks: Py Torch, Tensor Flow, Hugging Face Transformers
• What’s in it for you
• Equity
• Wellbeing benefit
• WFH equipment allowance
• Annual Learning & Development stipend
• Diverse team environment

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