Elastic AI Engineer
Tasks
- Apply Retrieval Augmented Generation
- Design agentic workflows
- Develop and fine-tune large language models
- Document AI workflows
- Implement security and data privacy standards
- Integrate LLMs with internal APIs
- Integrate LLMs with third party SaaS tools
- Maintain cloud infrastructure and deployment documentation
- Optimize agent performance
- Oversee agent training and deployment
Perks/Benefits
- Company-matched retirement plan
- Flexible schedules
- Generous vacation days
- Health coverage
- Parental leave
- Volunteer time
Skills/Tech-stack
AWS | Agent Orchestration | Azure | Cloud platform | Docker | Elasticsearch | Elasticsearch Relevance Engine | Google Cloud | Google Cloud Platform | Jina AI | Kubernetes | LLM integration | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Model Context Protocol | Multi-Agent | Multi-agent orchestration | Python | RAG | Retrieval | Retrieval-Augmented Generation | Terraform | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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