ppbJob Description /b /p pbAbout us /b /p pJoining Busuu means being part of one of the top EdTech companies in the world, a multiple award-winner recognised for its innovation and impact in language learning. /p pBusuu’s vision is to empower people through languages. We are the world’s largest online community for language learning, with 120+ million registered users. We make learning a language easy by combining AI-powered courses with feedback from our global community of native speakers and lesson content designed for real life. /p pBusuu is part of the integral Chegg family. Chegg is the leading student-first connected learning platform and a NYSE listed company. /p h3bWhat does a Senior Machine Learning / AI Engineer do at Busuu? /b /h3 ul lipbBuild scale agentic AI systems: /b Own the design, development and deployment of production-grade agentic systems that power adaptive learning experiences — from multi-step reasoning pipelines to autonomous feedback loops that respond to learner behaviour in real time. /p /li lipbLLMs RAG architectures: /b Architect and integrate LLM-powered features using retrieval-augmented generation (RAG), prompt engineering strategies, and evaluation pipelines. Lead application of these to high-impact use cases such as mistake analysis, content generation, and personalised learning paths. /p /li lipbAgentic frameworks: /b Lead the design of multi-agent workflows using frameworks such as LangChain and LangGraph. Define agent orchestration patterns, tool use, memory, and state management strategies for production environments, and establish best practices across the team. /p /li lipbFull ML lifecycle ownership: /b Collaborate with Data Scientists and Senior ML Engineers to move models from experimentation to production, including feature engineering, training pipelines, online inference, and monitoring. Take ownership of reliability and quality end to end. /p /li lipbPlatform tooling development:



/b Drive improvements to our ML infrastructure and experiment orchestration tools (e.g. MLFlow, Airflow, SageMaker, Kubernetes), and help make AI development faster and safer across the team. /p /li lipbCross-functional collaboration: /b Work closely with Data Engineers, Product Managers, Designers, and other engineers to embed intelligence into our products, improve experimentation velocity, and drive measurable learning outcomes. /p /li lipbResearch innovation: /b Lead research spikes on emerging AI/ML technologies — from graph-based knowledge representations to advanced RAG patterns, fine-tuning strategies, and agentic evaluation frameworks. Shape our evolving AI strategy and contribute to the wider engineering community. /p /li /ul h3bWhat we’re looking for in a Senior Machine Learning / AI Engineer /b /h3 ul lipStrong foundations in machine learning, applied AI, and software engineering. You write clean, maintainable Python code, are comfortable designing ML pipelines, and can work across APIs and microservices at scale. /p /li lipProven experience building and deploying agentic AI systems using LangChain and/or LangGraph — including agent orchestration, tool use, and multi-step reasoning pipelines in production environments. /p /li lipDeep practical knowledge of LLMs (e.g. OpenAI, Anthropic, HuggingFace) and hands-on experience with prompt engineering, vector stores, and RAG architectures. You know how to evaluate and iterate on these systems rigorously. /p /li lipProficiency in building data and training pipelines using tools like SQL, Airflow, or AWS services (S3, SageMaker, Lambda).



/p /li lipProven track record deploying ML or AI systems to production, especially around NLP, personalisation, or recommendation. A/B testing and impact evaluation experience is a strong plus. /p /li lipGraph-based data structures or graph databases (e.g. Neo4j, NetworkX) is a strong plus. /p /li lipExcellent communication skills and ability to work collaboratively in a diverse, cross-functional team. You take ownership, iterate fast, and make others around you better. /p /li lipStrong analytical thinking and genuine curiosity about the user experience and pedagogical impact of AI solutions. /p /li lipExperience in EdTech, adaptive learning, or consumer personalisation is a big plus, not a requirement. /p /li /ul h3bAt Busuu we want to ensure that you have access to some great benefits /b /h3 ul lipCentrally located offices with free breakfast, snacks, and fresh fruit /p /li lip2 free lunches per week from a wide selection of restaurants /p /li lipGreat Private Health Insurance scheme /p /li lipPersonal training budget to keep growing /p /li lipFlexible working hours and a hybrid model of working /p /li lipEnhanced maternity and paternity leave /p /li lipFrequent social activities: team lunches, Thursday socials, quarterly events /p /li /ul h3bWhat happens next? /b /h3 pbCV review /b – We’ll review your application as quickly as possible. /p pbLet’s chat /b – A quick call with our team about your experience and the role. /p pbFirst Interview /b – With the Hiring Manager. /p pbCultural Interview /b – Interview about soft skills and value alignment with the team. /p pbTechnical Interview /b – Structured questions covering core AI/ML engineering knowledge with team members. /p pOur platform is for everyone, and so is our workplace. We embrace our differences - cultural, racial, religious, or otherwise - and believe every voice matters. /p /p #J-18808-Ljbffr

📌 Senior Machine Learning / AI Engineer (Madrid)
🏢 Busuu
📍 Madrid