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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Miro - **Location:** London, UK (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Code Review, Continuous Integration, Software Debugging, Python (Programming Language), Performance Tuning, Cloud Services, Tensorflow, TypeScript, WebSocket, WebGL, Pytorch, ReactJS, System Availability, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Low Latency, HuggingFace, Production Code, Machine Learning Operations, Interactive Whiteboards, GPT, Automation Anywhere - **Published:** June 24, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=7233cecef1184583 ## About the Role Do you have experience in TypeScript?, * 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 ## Description 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 ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Rendering Design Software in the Browser at Penpot](https://www.wearedevelopers.com/videos/1353-rendering-design-software-in-the-browser-at-penpot) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [TresJS a new declarative ThreeJS as Vue components](https://www.wearedevelopers.com/videos/543-tresjs-a-new-declarative-threejs-as-vue-components) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)