About the role

Elastic AI Engineer developing autonomous agents using the Elastic Stack to enhance enterprise efficiency. Innovating workflows and integrating AI models for business process 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.

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.

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