AI Engineer
Department: Engineering
Locations: London
About the Team
About the Role
What you’ll do
- Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—that enhance Miro’s customer experience, from ideation to delivery
- Execute end-to-end ML projects: from conceptualizing use cases to prototyping, training, evaluating, and deploying models into production
- Engineer high-performing AI workflows leveraging off-the-shelf large language models (OpenAI, Anthropic Claude, Google Gemini, etc.), prompt engineering, retrieval-augmented generation (RAG), and generative techniques—ensuring reliability, scalability, and maintainability
- Collaborate cross-functionally with product managers, designers, engineers, and researchers to translate business goals into AI solutions, and to iterate rapidly through feedback and experimentation
- Champion best practices in AI system development—including evaluations, reproducibility, MLOps, CI/CD, observability, and version control—aligned with ethical AI and responsible development principles
- Measure and optimize AI performance, establishing benchmarks for outcomes like user engagement, model accuracy, latency, error rate, and drift
- Stay ahead of the curve by evaluating emerging AI tools, frameworks, and techniques—and advocating for their application across Miro
What you’ll need
- A solid grounding in machine learning fundamentals, including probabilistic modeling and deep neural networks
- Demonstrated track record in prompt engineering and context engineering using top-tier LLMs—e.g., OpenAI GPT models, Anthropic Claude, Google Gemini
- Experience delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with
- Comfortable translating and communication complex technical concepts fo r non-technical stakeholders in user-facing documentation or demos
- Education + Experience:
- Option A: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related STEM field plus ~3 years of professional AI/ML experience
- Option B: No formal degree, ~6 years of self-taught or industry experience demonstrating equivalent proficiency
- Experience with vector databases, RAG pipelines, LangChain, or agent frameworks
- Background in multi-modal AI (e.g., text, image, voice) or long-context handling, reflecting advanced LLM use cases
- Hands-on familiarity with ML frameworks like PyTorch, TensorFlow, or Hugging Face Transformers
- Prior work in MLOps, cloud infrastructure (AWS, GCP, Azure), or AI governance
What's in it for you
- Competitive equity package
- Health insurance for you and your family
- Corporate pension plan
- Lunch, snacks and drinks provided in the office
- Wellbeing benefit and WFH equipment allowance
- Annual learning and development allowance to grow your skills and career
- Opportunity to work for a globally diverse team
About Miro
Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
Check out more about life at Miro:
- Youtube: https://www.youtube.com/@lifeatmiro
- Blog: https://miro.com/careers/life-at-miro/all/
- Instagram: https://www.instagram.com/mirohq/
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
Prepare yourself to go beyond
Here are some helpful tips to ensure you have all the correct information throughout our hiring process.
01. Recruiter Screen
A 30-min interview to discuss your relevant skills, perspective on resilience, experience, and what motivates you to join Miro.
02. Hiring Manager
The hiring manager will meet to discuss your experience and fit for the role by assessing whether you align with the Miro Mindset (Curiosity, Drive, Resilience, Empathy, Cognitive Agility & Accountability). This interview usually takes 90-120 minutes.
03. Skill Assesment
An interactive presentation to see your skills in action, based around a particular case study or business problem.
04. Meet the Team
Here you will meet cross-functional stakeholders, and we will ask evidence-based questions to evaluate how well you align with the role and Miro's values and culture.
05. Leadership Round
Meet a member of the leadership team to discuss Miro’s company values and share your vision for success at Miro.