AI Search Engineer

Hiring: Senior AI Search Engineer – Elasticsearch & RAG

Work Mode: Remote
Experience: 8+ Years
Relevant Experience: 6+ Years in Enterprise Search / RAG / LLM Applications
Shift: Approx. 1:00/2:00 PM – 10:00/11:00 PM IST

Role Overview:
Looking for a hands-on Senior AI Search Engineer to build and deliver enterprise-grade AI-powered search solutions. The role focuses on Elasticsearch, RAG pipelines, semantic search, LLM applications, and agentic AI workflows.

Key Responsibilities:

• Design and build scalable data ingestion pipelines into Elasticsearch
• Integrate data from SharePoint, Liferay, Data Lakes, databases, web sources, etc.
• Build batch, incremental and near-real-time indexing pipelines
• Develop hybrid search using BM25 + vector/semantic search
• Implement query rewriting, query expansion, multi-query and contextual retrieval
• Build and optimize end-to-end RAG pipelines
• Develop agentic AI workflows with tool/function calling and multi-step retrieval
• Implement embeddings, re-ranking, cross-encoders and relevance optimization
• Ensure security-aware search and permission-based content retrieval
• Integrate commercial/open-source LLMs and AI services
• Work with document processing, chunking, metadata enrichment and vector embeddings

Must-Have Skills:
Elasticsearch – Query DSL, BM25, indexing, analyzers, shard strategy & performance tuning
Strong RAG / Generative AI experience
Agentic AI / Tool Calling / Function Calling
Python
Vector & Semantic Search
Embedding & Re-ranking Models
LangChain / LlamaIndex / Haystack or equivalent
LLMs – Azure OpenAI / OpenAI / Gemini / Claude / Llama / Mistral, etc.
Enterprise search / knowledge management experience

Good to Have:

• React or equivalent frontend experience
• OpenSearch / Azure AI Search
• SharePoint / Liferay / Azure Data Lake integrations
• Search relevance evaluation – Precision, Recall, NDCG

Pay: ₹130,000.00 - ₹150,000.00 per month

Work Location: Remote