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We are looking for a talented Lead Java Developer with expertise in OpenSearch and vector search to build advanced conversational search solutions powered by Retrieval-Augmented Generation (RAG) architecture.
Responsibilities
- Design and develop scalable applications utilizing Amazon OpenSearch and AWS for conversational search solutions
- Update and enhance OpenSearch plugins to enable semantic search and vector search functionalities
- Integrate Large Language Models (LLMs) with RAG architecture to deliver high-quality conversational AI solutions
- Create and maintain a vectorized index for efficient and precise search queries
- Optimize application performance, ensuring seamless interactions between search systems and technologies
- Collaborate with cross-functional teams to address architectural and technical challenges
- Diagnose, troubleshoot, and resolve problems with OpenSearch, Elasticsearch, or related systems
- Provide guidance and mentorship to junior developers on best practices in OpenSearch and Java development
- Align with project objectives to deliver enterprise-grade search solutions
Requirements
- Minimum of 5 years of professional experience with Java and related frameworks
- 1+ years of leadership experience in relevant roles
- Proficiency in Amazon OpenSearch, Elasticsearch, and AWS-based solutions, with experience in search-driven applications
- Expertise in search engines, text analytics, and semantic web integration
- Background in integrating LLMs with RAG architecture for conversational search capabilities
- Familiarity with updating and customizing OpenSearch plugins for enhanced search functionality
- Skills in GitHub for version control and Docker for containerized application deployment
- Capability to troubleshoot and resolve issues with search-related technologies
- Understanding of Java design patterns and scalable application design principles
- Excellent command of written and spoken English (B2+ level)
Nice to have
- Knowledge of Apache Lucene Core for improving search processes
- Showcase of Docker usage for efficient container deployment
- Qualifications in collaborative development with GitHub
- Flexibility to use Retrieval-Augmented Generation (RAG) solutions in search-driven environments
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