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Junior Ai Engineer at Memrise. What “Great” Looks Like. Prompt & RAG Engineering. Design, tune, and A/B-test prompt chains that lift instruction-following accuracy, session-completion detection, and overall Buddy engagement. Implement RAG pipelines to power both support bots and in-product answers.. Multi-language Scale-out. Modularise Buddy prompt chains so every language pair uses a single, well-structured template with language-specific slots. Add capabilities to compare model performance for different languages.. Recommendations Engine. Prototype and productionise a Kotlin- or Python-based service that recommends the next best learning feature, measuring success via lift in feature completions and balanced usage.. Evaluation & Observability. Build an end-to-end prompt-quality harness (unit + offline + in-prod metrics) and integrate it with our custom model-serving layer.. Collaboration & Ownership. Partner daily with Sonia (Head of Content), Luis (Dir. Product Strategy & Innovation) and Elizaveta (Engineering Manager), proactively taking ownership of high-leverage deliverables that move the KPIs.. . Must-Have. . . Prompt-engineering best practices. . Proactiveness & strong ownership mindset. . Retrieval-Augmented Generation (RAG). . . . Nice-to-Have. . . Recommender-systems foundations. . A/B testing at scale. . Python (LLM tooling) & Kotlin fundamentals. . ML-ops tooling (Airflow, Feature Store). . Basic statistics / experimentation design. . . Company Location: United Kingdom.