Elastic

Elastic is seeking an AI Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integration. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security.

Elastic is seeking an AI Engineer to build autonomous, enterprise-grounded agents that complete complex business tasks using the Elastic Stack, RAG, and LLM integrations. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security.

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.

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.

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 Product Manager for AI within the Observability team, driving the vision and execution of AI-powered features. The role focuses on Agentic AI, Machine Learning, LLMs, and semantic context to transform the observability lifecycle, including data onboarding, enrichment, root cause analysis, impact assessment, and automated remediation. Responsibilities include defining AI strategy, owning the roadmap for embedding AI/ML into workflows, partnering with engineering and UX, collaborating with sales/marketing, engaging with customers, and tracking industry trends.