Elastic AI Engineer
Tasks
- Apply enterprise grounding for high accuracy task completion
- Deploy and manage agent lifecycles
- Design agentic workflows for business processes
- Develop and fine-tune LLMs
- Implement retrieval augmented generation systems
- Implement security and data privacy standards for compliance
- Integrate LLMs with internal APIs and third party SaaS tools
- Maintain AI workflow and deployment documentation
- Optimize agent performance and reliability
- Recommend Elastic Stack architecture for AI driven productivity
Perks/Benefits
- Charitable donation matching
- Company-matched retirement plan
- Flexible work schedules
- Generous vacation days
- Health coverage
- Parental leave
- Volunteer time
Skills/Tech-stack
Agent Orchestration | Cloud Computing | Docker | Elasticsearch | Elasticsearch Relevance Engine | Jina AI | Kubernetes | LLM integration | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Model Context Protocol | Multi-Agent | Multi-agent orchestration | Python | RAG | REST APIs | Retrieval-Augmented Generation | Terraform | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Elastic AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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