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We are seeking a highly skilled Lead Java Developer with expertise in OpenSearch and vector search to implement advanced conversational search functionality using 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 support semantic search and vector search functionalities
- Integrate Large Language Models (LLMs) with RAG architecture to enable high-quality conversational AI solutions
- Lead the development of a vectorized index to support efficient and accurate search queries
- Optimize application performance, ensuring seamless interaction between search systems and underlying technologies
- Collaborate with cross-functional teams to resolve architectural and technical challenges
- Analyze, troubleshoot, and resolve issues with OpenSearch, Elasticsearch, or related systems
- Provide guidance and mentorship to junior developers on OpenSearch and Java development best practices
- Maintain alignment with project goals and support the delivery of enterprise-grade search solutions
Requirements
- Minimum of 5 years of professional experience with Java and related frameworks
- At least 1 year of relevant leadership experience
- 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 search functionalities
- Experience using Docker for efficient container deployment
- Competency in collaborative development with GitHub
- Familiarity with implementing Retrieval-Augmented Generation (RAG) solutions in search-driven environments
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