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AI Engineer
Location
Denmark
Posted
3 days ago
Salary
0
Seniority
Senior
Job Description
AI Engineer
Miro
• 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
Job 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
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