Elastic AI Engineer

About Elastic, The Search AI Company

Elastic, the Search AI Company, empowers everyone to find real-time answers using all their data at scale, unleashing business and people potential. The Elastic Search AI Platform, utilized by over 50% of the Fortune 500, combines search precision with AI intelligence to accelerate critical results. Elastic's cloud-based solutions for search, security, and observability leverage all structured and unstructured data, with enhanced data protection, to help organizations realize the full promise of AI.

The Role: Agentic Workflows Engineer

The Elastic IT team is pioneering the next frontier of Agentic Workflows, moving beyond simple chat. We are seeking an innovative Elastic AI Engineer to join us in building autonomous, enterprise-grounded agents. These agents will not only answer questions but also complete complex business tasks, significantly accelerating productivity across the organization. The ideal candidate is an expert in Elastic products, particularly Agent Builder and Workflows, leveraging the full Elastic Stack to provide the core intelligence and memory for our agentic ecosystem. Are you ready to build agents that enhance enterprise efficiency and transform collective knowledge into instant action?

What You Will Be Doing:

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows using reasoning and tools for end-to-end business process completion.
• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are grounded in enterprise knowledge for accurate task completion.
• AI Model & Tool Integration: Develop and fine-tune LLMs, integrating them with internal APIs and third-party SaaS tools for autonomous action.
• Scalable Infrastructure: Utilize expertise in cloud environments (AWS, Azure, GCP) to support high-concurrency demands of enterprise agents.
• Lifecycle Management: Oversee agent training, deployment, and performance optimization, ensuring security, reliability, and compliance.
• Technical Leadership: Act as a domain expert on the Elastic Stack, providing technical recommendations to advance AI-driven productivity.
• Documentation: Maintain comprehensive documentation for AI workflows, cloud infrastructure, and deployment processes.
• Security: Implement robust security and data privacy standards to protect sensitive information and ensure regulatory compliance.

What You Bring:

• 3-5 years of relevant work experience.
• Minimum 1 year of experience building with the Elastic Stack, including Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns.
• Proven success in delivering independent GenAI projects, especially those involving autonomous task completion or complex workflow automation.
• Familiarity with agentic frameworks like LangGraph, LangChain, and LangSmith for multi-agent systems.
• Deep familiarity with enterprise agentic & workflow platforms (e.g., Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents).
• Ability to apply emerging market trends (e.g., Multi-Agent Orchestration, Model Context Protocol) to build high-impact, cost-optimized enterprise solutions.
• Programming experience with Python or TypeScript for backend logic and agent orchestration.
• Familiarity with cloud and orchestration tools like Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.
• Hands-on experience with LLM providers.

Bonus Points:

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.
• Strong communication skills for translating business requirements into technical agent architectures.
• Commitment to Ethical AI and responsible development practices.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of DevOps practices for model deployment and automation.

We Take Care of Our People:

As a distributed company, diversity is central to our identity. Elastic supports both career launches and growth. You can balance great work with great life. We value your contributions regardless of age. We aim for benefit parity across regions, believing that taking care of our people is the right thing to do. Benefits include competitive pay, health coverage, flexible work arrangements, generous vacation, donation matching, volunteer time off, and comprehensive parental leave.

Equal Opportunity Employer:

Elastic is an equal opportunity employer committed to an inclusive culture. We welcome diverse perspectives and backgrounds. Qualified applicants will receive consideration without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability status, or any other protected characteristic. We are committed to accessibility and inclusion. To request accommodation, email candidate_accessibility@elastic.co.

Additional Information:

Information regarding export controls for certain sanctioned countries is available. Compensation is base salary; no variable component. Typical starting salary range: $94,300—$149,200 USD. In select high-cost locations (e.g., Seattle, Los Angeles, San Francisco Bay Area, NYC Metro Area), the range is $113,300—$179,200 USD. Salary is based on factors like education, experience, skills, and location. Eligible for Elastic's stock program. Includes company-matched 401k up to 6%, and other well-being benefits.

Key skills/competency:

• Elastic AI Engineer
• Agentic Workflows
• Retrieval Augmented Generation (RAG)
• Elasticsearch Relevance Engine (ESRE)
• Large Language Models (LLMs)
• Python/TypeScript
• Cloud Infrastructure (AWS, Azure, GCP)
• Kubernetes/Docker/Terraform
• LangChain/LangSmith
• Enterprise AI Agents