Note: The job is a remote job and is open to candidates in USA. Elastic is the Search AI Company that enables businesses to find answers in real time using their data. They are seeking an innovative Elastic AI Engineer to build autonomous agents that enhance productivity by completing complex business tasks and implementing sophisticated workflows.
Responsibilities
- 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
Skills
- 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
- Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations
- 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
Benefits
- Elastic's stock program
- Company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings
- 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
- 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 Overview
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