Elastic

Lead GenAI Cloud Developer responsible for evolving ElasticGPT from a conversational assistant to a proactive, task-oriented agentic ecosystem. This involves designing and building agentic workflows, production RAG systems, deploying scalable APIs, and implementing optimization and observability pipelines for enterprise-wide productivity.

This role focuses on the end-to-end technical delivery and development of AI solutions, specifically AI agentic deployments and LLM-based intelligent agents using the Elastic Agent Builder platform. It involves designing, implementing, and orchestrating these systems, with a strong emphasis on custom agent engineering and data integration within enterprise environments.

The Cloud/GenAI Engineer will be responsible for architecting, implementing, and scaling cloud-native infrastructure while driving generative AI capabilities. This role combines advanced DevOps engineering with cutting-edge AI infrastructure management, focusing on building resilient, scalable cloud platforms to support internal systems and GenAI applications.

Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, aiming to create an industry-leading vector database offering. This involves designing and implementing new features, improving existing ones, and resolving bugs, with a strong emphasis on performance and relevance.

Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering.

Principal Software Engineer to own the backend architecture for Elastic's Agent Builder conversational platform, focusing on streaming APIs, secure tool execution, session persistence, and evaluation telemetry. The role involves leading design, building event-driven pipelines, championing reliability, and mentoring engineers, with exposure to LLM tooling and open-source AI communities.

Principal Software Engineer II to join the Elasticsearch - Machine Learning team, focusing on building and maintaining ML platform components and optimizing model performance within the Elastic Search AI Platform. This role involves core Java development for ML support in Elasticsearch and C++ for performance optimizations, integrating advanced analytics and ML into the distributed Elastic platform.

Principal Software Engineer focused on enhancing vector similarity search functionality within Elasticsearch, contributing to a leading vector database offering.

Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, contributing to a leading vector database offering. This involves designing and implementing new features, improving existing ones, and potentially inventing new algorithms or data structures. The role requires deep expertise in Java and vector similarity techniques.

Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including designing and implementing new search features, improving existing functionality, and resolving bugs. The role involves contributing to search relevance, working with vector databases and algorithms like HNSW/IVF at scale, and writing modern Java.

This role leads the enterprise-wide AI strategy and technology deployment, focusing on designing and scaling AI-driven solutions to improve business processes, increase productivity, and reduce operational overhead. The candidate will conduct business process analyses, prioritize AI integration opportunities, and manage a cross-functional team.

Principal Software Engineer II to join the Elasticsearch - Machine Learning team to build and maintain platform components for machine learning in Elasticsearch. This involves maintaining and extending ML support in Java and working on model performance optimizations in C++. The role focuses on building the infrastructure that integrates advanced analytics and ML components into the distributed Elastic platform.

Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering. The role involves contributing to core Elasticsearch features, potentially inventing new algorithms or data structures, and working with a globally distributed team.