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1 day ago
We're seeking a highly skilled Search Engineer to join our organization. The ideal candidate will have experience with Elasticsearch or OpenSearch, AI/ML/LLM powered search, and API development using Python.
Key Responsibilities:- Design and implement search solutions using OpenSearch/Elasticsearch, including custom analyzers, tokenizers, and scoring algorithms.
- Index and template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
- Query pipeline development: Build and optimize custom query builders and search pipelines tailored to complex business requirements.
- AI/ML/LLM powered search: Leverage LLMs and AI for data enrichment and improved search relevance.
- API development: Develop and maintain robust, scalable APIs for search using Python (FastAPI).
- Testing and quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
- DevOps and automation: Automate deployment and management of search infrastructure, including index templates and search pipelines.
- 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: analyzers, tokenizers, relevance tuning, custom scoring, and query DSL.
- Experience with index template management, lifecycle policies, and large-scale data modeling.
- Proficiency in designing and optimizing search pipelines and custom query builders.
- Must have practical hands-on experience developing software using AI-assisted tools and workflows.
- Strong testing background: integration, regression, and performance testing.
- 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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