
Data Engine Architect
4 days ago
We are seeking a highly skilled Search Architect to design and implement scalable search solutions.
- Design and implement search solutions using OpenSearch/Elasticsearch, including custom analyzers, tokenizers, and scoring algorithms.
- Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
- Build and optimize custom query builders and search pipelines tailored to complex business requirements.
- Leverage Large Language Models (LLMs) and Artificial Intelligence (AI) for data enrichment and improved search relevance.
- Develop and maintain robust, scalable APIs for search using Python (FastAPI).
- Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
- Automate deployment and management of search infrastructure, including index templates and search pipelines.
This is an opportunity to architect the backbone of our data engine from the ground up. You will work on designing and implementing scalable search solutions, leveraging cutting-edge technologies such as LLMs and AI.
- You will be responsible for designing and implementing custom analyzers, tokenizers, and scoring algorithms to improve search relevance.
- You will create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
- You will build and optimize custom query builders and search pipelines tailored to complex business requirements.
- You will leverage LLMs and AI for data enrichment and improved search relevance.
- You will develop and maintain robust, scalable APIs for search using Python (FastAPI).
- You will lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
- You will automate deployment and management of search infrastructure, including index templates and search pipelines.
To be successful in this role, you will need to have:
- 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.
You will be part of a small senior team, working remotely in India with flexibility to set core hours that suit your life.
- Collaborative, innovative, and supportive team culture.
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