AI Engineer

Miro

AI Engineer developing and shipping AI-driven capabilities for Miro’s visual workspace. Bridging AI innovation with product delivery using cutting-edge LLMs and technologies.

Posted 6/22/2026full-timeRemote • 🇩🇰 DenmarkMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchReactTensorflowTypeScript

About the role

Key responsibilities & impact

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

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.
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

Comp & perks

equity
wellbeing benefit
WFH equipment allowance
annual Learning & Development stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTypeScriptReactLLMsprompt engineeringcontext engineeringML fundamentalsLLMOpsdeep neural networksML frameworks

Soft Skills

communication skillscollaborationproblem-solvingtechnical discussionscode reviews