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Advanced Search Developer
2 weeks ago
We are seeking a skilled Search Solutions Engineer to design and implement advanced search solutions using OpenSearch/Elasticsearch. The ideal candidate will have experience with custom analyzers, tokenizers, and scoring algorithms, as well as expertise in Python, API development, and DevOps.
About the Role:
- Design and implement advanced search solutions using OpenSearch/Elasticsearch.
- Manage index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
- Develop and optimize custom query builders and search pipelines tailored to complex business requirements.
- Apply AI/ML/LLM techniques for data enrichment and improved search relevance.
- Build and maintain robust APIs for search using Python (FastAPI).
- Lead testing efforts to ensure reliability and accuracy of search features.
- Automate deployment and management of search infrastructure.
- Collaborate with data engineers and product teams to deliver high-quality search experiences.
Requirements:
- 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, including 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.
- 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.
