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 integrations. The role involves designing agentic workflows, integrating LLMs with APIs and tools, managing the agent lifecycle, and ensuring scalability and security.

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.

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 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 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.

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.

The Principal Analytics Engineer will lead the design and build of an AI-powered intelligence system for the marketing organization, creating a semantic blueprint for business data interaction. This role involves architecting BigQuery and dbt infrastructure, developing a semantic layer for AI agents, and integrating disparate data signals into a unified customer journey model.

This role is for a Principal Analytics Engineer to lead the design and build of an AI-powered intelligence system for the Marketing organization. The focus is on creating a semantic blueprint for business data, transforming raw signals into high-fidelity, agent-ready data products, and enabling AI agents to interact with this data. The role involves architecting BigQuery and dbt infrastructure, mapping the customer journey, and partnering with various teams.

This role focuses on enhancing the security posture of Kibana by building AI-powered tools for vulnerability detection, alert triage, and threat analysis, while also managing third-party dependencies and implementing security controls. The engineer will write secure code for client and server-side components.

Senior Software Engineer focused on enhancing vector and keyword search functionality within Elasticsearch, including new feature design, implementation, and bug resolution. The role involves contributing to search relevance, potentially inventing new algorithms or data structures, and working with community members.