20d 21h ago
Senior Machine Learning Engineer
Busuu·EdTech
🏢Hybrid
|Madrid, Spainairflowawslangchainllm+3
Senior Machine Learning Engineer
Busuu | EdTech
2 weeks agoHybrid
Full Time
Spain, Madrid
Position:
Senior Machine Learning / AI Engineer
Company:
Busuu
Location:
Spain, Madrid
Employment type:
Full time
Short Summary:
Joining Busuu means being part of one of the top EdTech companies in the world, recognized for its innovation and impact in language learning. Busuu's vision is to empower people through languages, with over 120 million registered users.
Responsibilities:
- Build & scale agentic AI systems, owning the design, development, and deployment of production-grade systems.
- Architect and integrate LLM-powered features using retrieval-augmented generation (RAG) and prompt engineering strategies.
- Lead the design of multi-agent workflows using frameworks such as LangChain and LangGraph.
- Collaborate with Data Scientists and Senior ML Engineers to move models from experimentation to production.
- Drive improvements to ML infrastructure and experiment orchestration tools.
- Work closely with cross-functional teams to embed intelligence into products and improve learning outcomes.
- Lead research on emerging AI/ML technologies and contribute to the wider engineering community.
Requirement:
- Strong foundations in machine learning, applied AI, and software engineering.
- Proven experience building and deploying agentic AI systems using LangChain and/or LangGraph.
- Deep practical knowledge of LLMs and hands-on experience with prompt engineering and RAG architectures.
- Proficiency in building data and training pipelines using tools like SQL, Airflow, or AWS services.
- Proven track record deploying ML or AI systems to production, especially around NLP, personalization, or recommendation.
- Excellent communication skills and ability to work collaboratively in a diverse team.
- Experience in EdTech, adaptive learning, or consumer personalization is a plus.
Benefits:
- Centrally located offices with free breakfast, snacks, and fresh fruit.
- 2 free lunches per week from a wide selection of restaurants.
- Great Private Health Insurance scheme.
- Personal training budget to keep growing.
- Flexible working hours and a hybrid model of working.
- Enhanced maternity and paternity leave.
- Frequent social activities: team lunches, Thursday socials, quarterly events.
Senior Machine Learning / AI Engineer
Company:
Busuu
Location:
Spain, Madrid
Employment type:
Full time
Short Summary:
Joining Busuu means being part of one of the top EdTech companies in the world, recognized for its innovation and impact in language learning. Busuu's vision is to empower people through languages, with over 120 million registered users.
Responsibilities:
- Build & scale agentic AI systems, owning the design, development, and deployment of production-grade systems.
- Architect and integrate LLM-powered features using retrieval-augmented generation (RAG) and prompt engineering strategies.
- Lead the design of multi-agent workflows using frameworks such as LangChain and LangGraph.
- Collaborate with Data Scientists and Senior ML Engineers to move models from experimentation to production.
- Drive improvements to ML infrastructure and experiment orchestration tools.
- Work closely with cross-functional teams to embed intelligence into products and improve learning outcomes.
- Lead research on emerging AI/ML technologies and contribute to the wider engineering community.
Requirement:
- Strong foundations in machine learning, applied AI, and software engineering.
- Proven experience building and deploying agentic AI systems using LangChain and/or LangGraph.
- Deep practical knowledge of LLMs and hands-on experience with prompt engineering and RAG architectures.
- Proficiency in building data and training pipelines using tools like SQL, Airflow, or AWS services.
- Proven track record deploying ML or AI systems to production, especially around NLP, personalization, or recommendation.
- Excellent communication skills and ability to work collaboratively in a diverse team.
- Experience in EdTech, adaptive learning, or consumer personalization is a plus.
Benefits:
- Centrally located offices with free breakfast, snacks, and fresh fruit.
- 2 free lunches per week from a wide selection of restaurants.
- Great Private Health Insurance scheme.
- Personal training budget to keep growing.
- Flexible working hours and a hybrid model of working.
- Enhanced maternity and paternity leave.
- Frequent social activities: team lunches, Thursday socials, quarterly events.
Required Skills
airflowawslangchainllmneo4jpythonsql
Required Languages
🇬🇧 English