Elastic AI Engineer

Job Description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open-source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries. What is The Role The Elastic IT team is moving beyond simple chat to the next frontier: Agentic Workflows. We are looking for an innovative Elastic AI Engineer to join our team to build autonomous, enterprise-grounded agents that don't just answer questions—they complete complex business tasks to accelerate productivity across the entire organization. The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the "brain" and "memory" for our agentic ecosystem. Are you ready to build the agents that supercharge enterprise efficiency? Join us to enable agentic workflows that turn collective knowledge into instant action, empowering everyone at Elastic to achieve more. What You Will Be Doing: Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes. Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion. AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action. Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents. <str

Required Skills