Senior Search Engineer - Hybrid, AI-Enhanced Discovery

AVEVA Denmark; Kuala Lumpur; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

AVEVA seeks a Search Engineer for its Kuala Lumpur hub to shape AI-enhanced search across customer and partner portals. You will design search architecture for the Unified Partner Experience, deploy Solr/Elasticsearch for multi-region workloads, and develop relevancy models and AI features to improve discovery across product catalogs, documentation and knowledge bases.

You will work with back-end languages like C#, Python or Java and apply NLP fundamentals to tokenisation, stemming and entity

Qualifications

• 5-8 years of experience in search engineering or information retrieval
• Hands-on with Solr and/or Elasticsearch including cluster management and schema design
• Proficiency in a backend language (C#, Python, or Java)
• Understanding of NLP fundamentals for search (tokenisation, stemming, entity recognition)

Responsibilities

• Design and implement search architecture for the Unified Partner Experience and customer portal platforms.
• Deploy, configure, and optimise Solr, Elasticsearch, and/or Alibaba OpenSearch for multi-region search workloads.
• Develop search relevancy models, including scoring, boosting, synonyms, and query analysis.
• Build search APIs, indexing pipelines, faceted search, auto-complete, type-ahead, and AI-enhanced search features.
• Monitor search performance, relevancy metrics, and user behaviour to continuously improve search quality.

Skills

Solr

Elasticsearch

Cluster management

Schema design

Query tuning

C#

Python

Java

NLP fundamentals

Tools

Azure Cognitive Search

AWS OpenSearch

Alibaba OpenSearch

Job description

AVEVA seeks a Search Engineer for its Kuala Lumpur hub to shape AI-enhanced search across customer and partner portals. You will design search architecture for the Unified Partner Experience, deploy Solr/Elasticsearch for multi-region workloads, and develop relevancy models and AI features to improve discovery across product catalogs, documentation and knowledge bases.

You will work with back-end languages like C#, Python or Java and apply NLP fundamentals to tokenisation, stemming and entity