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3 days ago
We are seeking a highly skilled Search Architect to design and implement search solutions using OpenSearch/Elasticsearch. The ideal candidate will have expertise in architecting and developing advanced search features, including custom analysers, tokenisers, and scoring algorithms.
The successful candidate will be responsible for creating and maintaining index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. They will also build and optimise custom query builders and search pipelines tailored to complex business requirements.
Additionally, the Search Architect will leverage Large Language Models (LLMs) and AI for data enrichment and improved search relevance. They will develop and maintain robust, scalable APIs for search using Python (FastAPI).
The role requires strong testing background, including integration, regression, and performance testing. The successful candidate will lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
Required Skills and Qualifications- 5+ years experience with Elasticsearch or OpenSearch in production environments.
- Experience with AI/LLM-based search experiences such as RAG, learning to rank, and query understanding.
- Expert level expertise in Python, with experience building APIs (preferably FastAPI).
- Deep understanding of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL.
- Experience with index template management, lifecycle policies, and large-scale data modelling.
- Proficiency in designing and optimising search pipelines and custom query builders.
- Practical hands-on experience developing software using AI-assisted tools and workflows.
- Strong DevOps skills: automation, CI/CD, and cloud infrastructure (AWS preferred).
- Excellent communication and collaboration skills.
- Experience with S3, AWS Lambda, and cloud-native architectures.
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