[Remote] Elastic AI Engineer

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Elastic, the Search AI Company, is seeking an innovative Elastic AI Engineer to join their team. This role involves building autonomous agents that complete complex business tasks, leveraging the Elastic Stack to enhance enterprise productivity and efficiency.ResponsibilitiesInvent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processesApply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completionDevelop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous actionFirm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agentsOversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliantAct as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivityMaintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processesImplement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulationsSkills3-5 years of work experience in a relevant fieldMinimum 1 year experience building with the Elastic StackKnowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is criticalProven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automationAgentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systemsExpertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow 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 enterpriseProgramming: Experience with Python or TypeScript for backend logic and agent orchestrationCloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deploymentModel Expertise: Hands-on experience with LLM providersBachelor's or Master's degree in Computer Science or a related engineering fieldStrong communication skills with the ability to translate business requirements into technical agent architecturesA commitment to Ethical AI and responsible development practicesExperience with containerization and orchestration (e.g., Docker, Kubernetes)Knowledge of DevOps practices for model deployment and automationBenefitsCompetitive pay based on the work you do here and not your previous salaryHealth coverage for you and your family in many locationsAbility to craft your calendar with flexible locations and schedules for many rolesGenerous number of vacation days each yearWe match up to $2000 (or local currency equivalent) for financial donations and serviceUp to 40 hours each year to use toward volunteer projects you loveEmbracing parenthood with a minimum of 16 weeks of parental leaveElastic's stock programCompany-matched 401k with dollar-for-dollar matching up to 6% of eligible earningsA range of other benefits offered with a holistic emphasis on employee well-beingCompany OverviewElastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases. It was founded in 2012, and is headquartered in Mountain View, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.elastic.co.Company H1B SponsorshipElastic has a track record of offering H1B sponsorships, with 1 in 2024, 2 in 2022, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.

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