Fullstack Data & AI Search Engineer | Experience: 8+ Years | Contract (6 Months) | Remote

Job Title: Senior Fullstack Data & AI Search Engineer

Experience: 8+ Years

Relevant Experience: 6+ Years in Enterprise Search / RAG / LLM

Work Mode: Remote

Employment: Contract

Duration: 6 Months

Budget: 1.2 LPM

Role Overview

We are looking for a hands-on Senior Data & AI Search Engineer with strong expertise in Elasticsearch, RAG pipelines, Agentic AI, Python, and LLM applications to build production-grade enterprise AI search solutions.

Key Responsibilities

• Design scalable data ingestion pipelines from SharePoint, Liferay, Data Lakes, databases, and web sources.
• Build and optimize Elasticsearch-based enterprise search.
• Implement hybrid search (BM25 + vector/semantic search) and advanced retrieval.
• Develop end-to-end RAG pipelines with embeddings, re-ranking, and contextual retrieval.
• Build Agentic AI workflows, tool/function calling, and multi-step retrieval.
• Integrate LLMs such as Azure OpenAI, OpenAI, Gemini, Claude, Llama, or Mistral.
• Implement document processing, semantic chunking, metadata enrichment, and access-controlled retrieval.
• Optimize search relevance using BM25, Query DSL, boosting, analyzers, Precision/Recall/NDCG.
• Support search UI integration using React (desirable).

Must-Have Skills

• 8+ years software/data engineering experience.
• 6+ years Enterprise Search / RAG / LLM experience.
• Strong Elasticsearch expertise.
• Strong Python skills.
• Hands-on RAG, Vector Search, Embeddings, Re-ranking.
• Experience with LangChain / LlamaIndex / Haystack.
• Experience with Agentic AI, Tool Calling & Function Calling.
• Strong understanding of enterprise data ingestion and search security.