Elastic AI Engineer

Elastic

6h • $101,900 - $161,200 • Remote

About The Position

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.

Requirements

• 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.
• Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
• Deep 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 that scale across the enterprise.
• Experience with Python or TypeScript for backend logic and agent orchestration.
• Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.
• Hands-on experience with LLM providers.

Nice To Haves

• 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 DevOps practices for model deployment and automation.

Responsibilities

• Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.
• 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.
• Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
• Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.
• Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.
• Act as a domain 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.
• Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Benefits

• 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 locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave
• Company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings
• Eligible to participate in Elastic's stock program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED
• Number of Employees: 501-1,000 employees