Elastic AI Engineer
United States
USD 94K-179K Mid-level Full Time Found 9d ago
Tasks
- Apply retrieval augmented generation and relevance engine techniques
- Develop and fine-tune large language models
- Implement security and privacy standards
- Integrate models with APIs and SaaS tools
- Invent and implement agentic workflows
- Maintain documentation of AI workflows and infrastructure
- Manage AI agent lifecycle including training deployment and optimization
- Provide technical leadership on Elastic Stack
- Support scalable cloud infrastructure
Perks/Benefits
- 401k matching
- Flexible schedules
- Generous vacation
- Health coverage
- Parental leave
- Stock program
- Volunteer hours
Skills/Tech-stack
AI Agents | AI Model Deployment | Agent Orchestration | Beats | Docker | ESRE | Elastic Stack | Elasticsearch | Jina AI | Kibana | Kubernetes | LLM providers | Langchain | Langgraph | Langsmith | Logstash | Microsoft Copilot | Model Context Protocol | Model Deployment | Multi-Agent | Multi-agent orchestration | Python | RAG | Salesforce Agentforce | ServiceNow AI | ServiceNow AI Agents | Terraform | TypeScript | Workflow automation
Education
Roles
Language: en |
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