AI Engineer (EdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (EdTech): Building and optimizing AI-powered features for a study platform with an accent on prompt engineering, agentic workflows, and document processing pipelines. Focus on developing real-world features using LLMs, Langgraph, and Python within a collaborative data science and engineering team.
Location: Must be based in the Netherlands and eligible to work there (no visa sponsorship provided)
Company
is a global study platform that helps millions of students share study materials and improve their learning efficiency through AI-powered features.
What you will do
- Build and test prompt chains and agent workflows using Langgraph.
- Prototype new AI features, including evaluation tools and content processing pipelines.
- Run model output evaluations, write scoring logic, and identify failure modes.
- Improve document processing and retrieval pipelines for educational content.
- Contribute to internal tools to enhance team productivity and development speed.
Requirements
- Must be currently enrolled in a Bachelor's or Master's program in CS, AI, Data Science, or a related field.
- Must be eligible to work in the Netherlands (no sponsorship).
- Available for at least 16 hours per week for a minimum of 6 months.
- Proficiency in Python and practical experience with LLM APIs (OpenAI, Anthropic).
- Demonstrable experience building AI-related projects outside of coursework.
Nice to have
- Experience with orchestration tools like LangChain or LangGraph.
- Familiarity with FastAPI or other async Python frameworks.
- Exposure to vector databases like Milvus, Pinecone, or Weaviate.
- Understanding of evaluation and monitoring for LLM-based applications.
- Experience deploying small projects to production.
Culture & Benefits
- Direct mentorship from a Senior AI Engineer.
- Opportunity to contribute to a platform with over 50 million monthly active users.
- Hands-on experience with production-grade AI features and tooling.
- Flexible student-friendly work structure.
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