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Engineering Leader

India, Bengaluru · Job Posted February 21, 2026
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Job Description

This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our search platform for years to come. We are seeking a Head of Search → engineering leader to architect, scale, and own the core systems that power Ema’s Search platform. This role is especially critical to building and scaling: Core Search Platform; Integrations internally with other application teams; Integrations with partner teams; Open API specs to bring in the data into Ema

Job Responsibility

  • Own the technical roadmap for Search at Ema
  • Set the roadmap for our Data Ingestion Platform – which enables Ema to securely ingest, transform, and index data from documents, spreadsheets, emails, and SaaS systems
  • Design and scale our Search Platform, enabling structured and unstructured data to flow seamlessly into Ema for search, reasoning, and generation
  • Own the architecture and implementation of Ema’s Search Index
  • Drive and collaborate with the LLMOps infrastructure: influence on how 1000s of transforms can be developed by external folks as well
  • Ensure platform support for diverse data formats (PDFs, spreadsheets, databases, charts, etc.) using PostgreSQL, Elasticsearch, and other relevant tools

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 12+ years of experience in backend systems, lucene, elastic search, vector datastores, infrastructure and scale
  • Knowledge of indexing strategies, inverted indexes, sharding/replication, and managing large document corpora
  • Expertise in ranking algorithms (BM25, vector-based, hybrid)
  • Familiarity with relevance tuning, query understanding, and search result evaluation
  • Proficiency with metrics (precision, recall, NDCG, MRR, etc.)
  • Proven experience in building the search infrastructure and scaling real-time systems on the search engine
  • Deep understanding of knowledge search
  • Deep expertise in cloud-native architecture, containerized services, and microservice orchestration (Docker, Kubernetes)
  • Solid understanding of LLM-based pipelines, knowledge retrieval, and secure document processing
  • Strong experience with data systems like PostgreSQL, Elasticsearch, and Redis

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