AI Enablement Engineer
Tasks
- Build AI agents and integrations
- Build AI-powered workflows
- Create reusable AI templates and patterns
- Define AI enablement framework
- Deliver AI literacy programs
- Design secure authentication and access management
- Develop MCP integrations
- Implement agent identity management
- Maintain AI documentation and enablement practices
- Optimize AI economics using prompt caching
- Optimize model routing
- Provide technical consulting for AI adoption
- Track AI usage and costs
Perks/Benefits
- Company offsites
- Equity participation
- Flexible schedule
- Flexible vacation
- Fully remote
- Health and wellness stipend
- Paid sabbatical
- Technology and learning stipend
Skills/Tech-stack
AI Agents | API Integration | Access Management | Agent Frameworks | Cost Optimization | Enterprise SaaS | Governance | LLM Applications | Language Models | Large Language Models | MCP | Model routing | Privacy | Prompt Caching | Python | Retrieval systems | Secure Authentication | Shell | TypeScript | Workflow Optimization
Education
N/A
Roles
AI | AI Enablement | AI Enablement Engineer | Enablement Engineer | Engineer | Solutions Engineer
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