Technical Lead

Pagaar India; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Pagaar India is seeking a hands-on Search & Personalization leader to own and scale our Search platform end-to-end in India, evolving it from traditional retrieval to AI-powered semantic search, personalization and intelligent discovery. You will architect the system, drive a high-performance architecture and mentor a team while collaborating with product and data science functions.

This leadership role offers the opportunity to guide experimentation frameworks, optimize relevance metrics and

Qualifications

• Extensive hands-on experience in search and information retrieval.
• ,

Responsibilities

• Own the Search & Personalization roadmap, architecture and execution
• Build scalable, low-latency Search & Information Retrieval systems
• Solve problems across query understanding, retrieval, ranking, re-ranking & personalization
• Drive semantic search, embeddings, vector search & hybrid retrieval
• Apply ML/NLP/LLMs to improve search relevance and discovery
• Define relevance metrics, experimentation and A/B testing frameworks
• Lead and mentor engineers while staying hands-on technically
• Partner with Product, Data Science & Engineering teams

Skills

Search engineering

Information Retrieval

Personalization

Leadership

Distributed systems

OpenSearch/Elasticsearch

ML/NLP/LLMs

Tools

Elasticsearch

OpenSearch

Solr

Vespa

Job description

We're looking for a hands-on Search & Personalization leader to own and scale our Search platform end-to-end. You'll have the opportunity to architect Search from the ground up and evolve it from traditional retrieval & ranking to AI/ML-powered semantic search, personalization and intelligent discovery. Experience from high-scale consumer internet/product companies such as Swiggy, Meesho, Flipkart, Amazon, Myntra, Zomato, Zepto or similar environments is highly relevant.

What You'll Do

• Own the Search & Personalization roadmap, architecture and execution
• Build scalable, low-latency Search & Information Retrieval systems
• Solve problems across query understanding, retrieval, ranking, re-ranking & personalization
• Drive semantic search, embeddings, vector search & hybrid retrieval
• Apply ML/NLP/LLMs to improve search relevance and discovery
• Define relevance metrics, experimentation and A/B testing frameworks
• Lead and mentor engineers while staying hands-on technically
• Partner with Product, Data Science & Engineering teams

What We're Looking For

• 69 years of software engineering experience
• Strong experience in Search / Relevance / Information Retrieval / Personalization
• Team Lead / Technical Leadership experience
• Strong understanding of indexing, retrieval, ranking & query understanding
• Hands-on with Elasticsearch / OpenSearch / Solr / Vespa or similar
• Experience with Learning-to-Rank, re-ranking & recommendation systems
• Experience with semantic search, embeddings, vector & hybrid search
• Exposure to ML/NLP/LLMs for Search or Discovery
• Strong distributed systems, scalability & low-latency engineering fundamentals