Agentic AI Engineer

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. 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. Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

The Elastic IT team is moving beyond simple chat to the next frontier: Agentic Workflows. We are looking for an innovative Agentic 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. In this role, you will leverage the full power of the Elastic Stack (including but not limited to ESRE, Agent Builder and Workflows) to provide the 'brain' and 'memory' for our agentic ecosystem. You will also act as a trusted enabler, helping internal business partners get started with the stack so they can solve their own unique data problems.

• Design and implement sophisticated agentic workflows that use reasoning and tools to execute end-to-end business processes.
• Utilize Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge.
• Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
• Provision and manage robust cloud-based environments (AWS, Azure, GCP) using Terraform to support high-concurrency demands.
• Establish modern DevOps practices (CI/CD pipelines) for automated deployment, testing, and performance optimization of agents.
• Apply strict security and network fundamentals (e.g., VPC configurations, secure API gateways, encryption, and IAM controls) to protect sensitive data.
• Implement comprehensive observability and tracing systems to monitor agent behavior, track execution latency, manage token spend, and detect model drift or failure.
• Act as a subject matter expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.
• Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.

• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.
• Strong desire to learn and become an expert in Elasticsearch Relevance Engine (ESRE), advanced RAG patterns, and the broader Elastic ecosystem.
• Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
• Hands-on experience with DevOps practices and infrastructure automation, leveraging Terraform as well as containerization and orchestration technologies like Docker and Kubernetes.
• Strong knowledge of secure cloud architectures, private networking, firewalls, VPC peering, and secure identity management (OAuth, SAML, IAM).
• Experience setting up observability frameworks (logging, distributed tracing, and metrics) to monitor complex, non-deterministic multi-agent workflows and application health.
• Familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents).
• Proven ability to apply emerging market trends—such as Multi-Agent Orchestration and Model Context Protocol (MCP)—to build high-impact, cost-optimized solutions.
• Experience with Python or TypeScript for backend logic and agent orchestration.
• Hands-on experience with LLM providers.
• Bachelor’s or Master’s degree in Computer Science or a related engineering field.
• Strong communication and problem solving skills with the ability to translate business requirements into technical agent architectures.
• Ability to work and thrive in a dynamic and fast-paced environment.
• A commitment to Ethical AI and responsible development practices.

The typical starting salary range for this role is $94,300—$149,200 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply: $113,300—$179,200 USD. This role is eligible to participate in Elastic's stock program. The total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits. Additional benefits include health coverage for you and your family in many locations, flexible locations and schedules for many roles, generous vacation days, up to $2000 match for financial donations and service, up to 40 hours each year for volunteer projects, and a minimum of 16 weeks of parental leave.

Apply via the Elastic careers page for this role.