Agentic AI Engineer
Elastic · Posted Oct 6
Search, observability, security, and analytics platform services
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About the role
Elastic is the Search AI Company, and its IT team is moving beyond simple chat to Agentic Workflows and Agent-to-Agent (A2A) systems. The role focuses on large language models (LLMs), agent orchestration, and A2A integration frameworks to power an intelligent workforce. The engineer will build multi-agent ecosystems that collaborate, delegate tasks, and execute complex business processes across the organization, integrating with enterprise systems.
What you will do
- A2A Architecture & Multi-Agent Orchestration: Design, build, and deploy agent-to-agent (A2A) communication architectures and workflows that enable autonomous agents to collaborate, delegate tasks, and negotiate multi-step business processes.
- LLM Integration & Tool Calling: Integrate advanced LLMs, both proprietary and open-source, with enterprise APIs. Use tool-calling methods. Connect with third-party SaaS applications for smooth operations.
- Enterprise Grounding & RAG: Use advanced Retrieval-Augmented Generation (RAG) techniques. Implement strategies that connect enterprise context by using search and vector storage engines. This will ensure that all inter-agent operations are highly accurate and reliable.
- Scalable Infrastructure & IaC: Provision and manage robust cloud environments (AWS, Azure, GCP) using Terraform to support the high-concurrency demands of LLM inferences and multi-agent coordination.
- DevOps & Lifecycle Management: Support modern DevOps practices. This includes creating CI/CD pipelines for automated testing, deployment, and versioning. You will also evaluate LLMs and agentic workflows regularly.
- A2A Security & Governance: Apply strict security and network fundamentals (VPC configurations, secure API gateways, encryption, and IAM controls) to secure inter-agent communication and protect sensitive enterprise data.
- LLM Observability & Evaluation: Create systems to monitor how multiple agents interact. These systems will help us check model accuracy. They will also help manage token spending and identify model drift or agent loops.
Skills used in this role
Benefits and support
- Compensation and benefits are detailed in the job posting
About Elastic
Elastic is a search AI company that builds self-managed and SaaS offerings for search, logging, security, observability, and analytics. Powered by the Elasticsearch platform, the company helps thousands of organizations worldwide transform massive volumes of data into actionable insights and real-time answers. Its modern search solutions are widely integrated across enterprise tech ecosystems to support advanced AI applications and automated security workloads.
- Industry
- Software
- Company size
- 5001-10000 employees
- Founded
- 2012
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $162M raised
- 2012-11-01Series A$10M
- 2013-03-01Series B$24M
- 2014-06-05Series C$70M
Leadership
Chief Executive Officer
Founder and Chief Technology Officer
Chief Financial Officer
Recent coverage
Business Wire
Elastic N.V. Announces Organizational Restructuring and Leadership Changes2026-06-25
Business Wire
Elastic Names Navam Welihinda Chief Financial Officer2025-02-27
Elastic Investor Relations
Elastic Reports Strong Fourth Quarter and Fiscal 2025 Financial Results2025-06-04