Senior Search Engineer

Responsibilities

• You'll design and build hybrid search intelligence that fuses classical IR with modern AI.
• Build hybrid search and retrieval systems combining Solr/Elastic with vector search (FAISS, Pinecone, Weaviate, or Chroma).
• Develop Retrieval-Augmented Generation (RAG) pipelines for complex legal and technical domains
• Fine-tune and evaluate embeddings, chunking strategies, and context optimisation for high recall and relevance.
• Design and optimise scalable search pipelines using Solr or Elasticsearch for multi-domain corpora (patents, legal docs, invoices, and technical literature).
• Implement relevance tuning, ranking models, synonyms, boosting, and custom analysers for domain-specific search.
• Manage indexing workflows (large delta updates, reindexing, and cache strategies).
• Build unified APIs for search, filtering, and analytics across structured and unstructured data.
• Profile, benchmark, and improve query latency, recall, and precision.
• Collaborate with AI engineers to integrate search with downstream NLP and RAG pipelines.
• Handle operational reliability and observability for Solr/Elastic clusters in production.

Requirements

• 5+ years of experience building and scaling Solr or Elasticsearch-based search systems.
• Proven expertise in Solr/Elasticsearch and vector databases (FAISS, Pinecone, Weaviate, etc. )
• Deep understanding of semantic search, RAG, and hybrid retrieval methods.
• Experience designing indexing pipelines for large and frequently updated corpora.
• Strong Python skills with PyTorch or TensorFlow.
• Familiar with LangChain, LlamaIndex, or equivalent LLM orchestration frameworks.
• Familiarity with Redis, PostgreSQL, and MongoDB.
• Deep debugging ability and performance tuning skills.
• Comfortable working independently, owning end-to-end delivery in a startup setup.
• Experience implementing MLOps practices for versioning, deployment, and monitoring.
• Knowledge or prior exposure to IP / LegalTech domains.
• Background in deep-tech, AI-first product companies or R& D-driven teams. This job was posted by Vamsi Varma from IP Author.