Junior Search Relevance Engineer

Job Overview:

-Design and implement search strategies to improve result quality.

-Build and optimize Retrieval-Augmented Generation (RAG) pipelines.

-Develop logic that tailors search results based on user intent and context.

Responsibilities:

-Re-Engineering Search: Combine lexical search with semantic vector search.

-RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines.

-Relevance Tuning: Measure and improve search metrics (NDCG, MAP, MRR).

Qualifications:

-Experience in Software Engineering, Data Engineering, or Data Science with a focus on Search or NLP.

-Strong proficiency in Python.

-Hands-on experience with at least one major search technology.