AI Engineer

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.

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.

• 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.
• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.
• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.
• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.
• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

• 3-5 years of work experience in a relevant field.
• Minimum 1 year experience building with the Elastic Stack.
• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.
• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.
• Agentic Frameworks: Familiarity with Lang Graph
  , Lang Chain
  , and Lang Smith for building and debugging multi-agent systems.
• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, Service Now AI Agents.)
• Market Trend Integration: Proven ability to apply emerging market trends-such as Multi-Agent Orchestration and
  Model Context Protocol (MCP)-to build high-impact, cost-optimized solutions that scale across the enterprise.
• Programming:
  
  Experience with
  Python or Type Script for backend logic and agent orchestration.
• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers),
  Docker
  , and Terraform for automated deployment.
• Model Expertise: Hands-on experience with LLM providers.

• Bachelor's or Master's degree in Computer Science or a related engineering field.
• Strong communication skills with the ability to translate business requirements into technical agent architectures.
• A commitment to Ethical AI and responsible development practices.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Knowledge of Dev Ops practices for model deployment and automation.

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible…