About the role
Requirements:
- 5+ years of experience with search infrastructure (e. g., OpenSearch, Elasticsearch, Solr, or vector/AI search).
- Hands-on experience building or maintaining retrieval pipelines and evaluating retrieval quality, including offline metrics and A/B guardrails.
- Strong understanding of information retrieval fundamentals: lexical retrieval, semantic and vector search, hybrid retrieval, and relevance tuning at scale.
- Familiarity with SEO engineering, content quality systems, or personalisation and recommendations at scale.
- Experience applying NLP or embedding-based models to query understanding, intent classification, or query expansion.
- Familiarity with A/B testing frameworks and analytics instrumentation (e. g. Amplitude, RudderStack) in a product experimentation context
- Experience working with microservices and/or monolith architectures.
- The team owns a mix of standalone services and a monolith, and is actively migrating components between them, so comfort operating across both patterns is valuable.
- Experience using AI tooling in your day-to-day workflow, and curiosity about applying it more deeply.