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Chegg6 days ago

Machine Learning/ AI Engineer

On-site · Madrid, Madrid, Spain

Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Enterprise

Job Summary

Busuu is hiring a Machine Learning / AI Engineer to design, build, and deploy production-grade agentic AI systems powering adaptive learning experiences. The role involves architecting and integrating LLM-powered features using retrieval-augmented generation (RAG), prompt engineering, and evaluation pipelines; building agentic frameworks with LangChain/LangGraph for multi-agent workflows; developing ML systems from experimentation to production including feature engineering, training pipelines, online inference, and monitoring; contributing to ML infrastructure and experiment tooling (e.g., MLFlow, Airflow, SageMaker); collaborating with Data Engineers and Product Managers to embed intelligence into products and improve experimentation velocity; researching emerging AI/ML technologies (graph-based representations, RAG patterns, recommender systems) and shaping the AI strategy. Key skills include Python, ML pipelines, APIs/microservices, LLMs (OpenAI/Anthropic/HuggingFace), LangChain/LangGraph, prompt engineering, vector stores, SQL, Airflow, AWS (S3, SageMaker, Lambda), production deployment (NLP/personalisation/recommendation), and a passion for user experience and pedagogy. The role offers hybrid work with centrally located offices and benefits.

Required Qualifications

  • Solid foundations in machine learning and software engineering
  • Strong Python coding skills and ability to design ML pipelines and APIs/microservices
  • Hands-on experience with LLMs (OpenAI, Anthropic, HuggingFace) and prompt engineering
  • Experience with LangChain and/or LangGraph for agentic systems (agent orchestration, tool use, multi-step reasoning)
  • Familiarity with data/training pipelines using SQL, Airflow, AWS (S3, SageMaker, Lambda)
  • Experience deploying ML systems to production (NLP/personalisation/recommendation)
  • Strong analytical thinking and collaboration skills
  • Good communication and ownership mindset
  • Experience in EdTech, adaptive learning, or consumer personalization is a plus
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Chegg

Machine Learning/ AI Engineer

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