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Junior AI Engineer

Memrise is a language learning platform that uses AI technology to help users learn new languages.
Machine Learning
Entry-Level Software Engineer
Remote
AI · Education
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Description For Junior AI Engineer

Memrise is seeking a Junior AI Engineer to join their Platform team in a remote capacity. This role focuses on advancing their language learning platform through AI technologies. The position combines prompt engineering, RAG implementation, and recommendations systems development.

The ideal candidate will work on designing and tuning prompt chains to improve instruction-following accuracy and engagement, implement RAG pipelines for support bots and in-product answers, and develop a recommendations engine for learning features. They will be responsible for building evaluation systems and working closely with cross-functional teams.

This is an excellent opportunity for someone starting their career in AI engineering, offering hands-on experience with cutting-edge language learning technology. The role requires a strong foundation in prompt engineering and RAG, with opportunities to work with Python and Kotlin. The position offers the flexibility of remote work while being part of an innovative education technology company.

Key aspects of the role include:

  • Designing and optimizing AI prompt chains
  • Implementing RAG systems for multiple use cases
  • Building and maintaining recommendations engines
  • Creating evaluation and observability systems
  • Collaborating with product, content, and engineering teams

The successful candidate will have the opportunity to directly impact how millions of users learn languages through AI-powered features, while working with modern AI technologies and methodologies.

Last updated 4 days ago

Responsibilities For Junior AI Engineer

  • Design, tune, and A/B-test prompt chains for accuracy and engagement
  • Implement RAG pipelines for support bots and in-product answers
  • Modularise Buddy prompt chains for multi-language support
  • Compare model performance for different languages
  • Prototype and productionise recommendations engine
  • Build end-to-end prompt-quality harness
  • Partner with Head of Content, Dir. Product Strategy & Innovation, and Engineering Manager

Requirements For Junior AI Engineer

Python
Kotlin
  • Prompt-engineering best practices
  • Proactiveness & strong ownership mindset
  • Retrieval-Augmented Generation (RAG)
  • Recommender-systems foundations (nice to have)
  • A/B testing at scale (nice to have)
  • Python (LLM tooling) & Kotlin fundamentals (nice to have)
  • ML-ops tooling (Airflow, Feature Store) (nice to have)
  • Basic statistics / experimentation design (nice to have)

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