Related skills
python prompt engineering graphql rest apis llmsπ Description
- Diagnose business problems; map workflows; confirm AI is the right intervention.
- Own AI initiatives end-to-end: discovery, design, deployment, iteration.
- Design, develop, and ship AI solutions quickly; prototypes in days.
- Improve organizational flow by reducing bottlenecks; measure with flow, ROI.
- Integrate AI into existing systems via APIs and orchestration.
- Be Customer Zero; showcase AI offerings and feed insights to R&D.
π― Requirements
- Proficiency in Python or JavaScript/TypeScript; REST APIs, GraphQL.
- Deep experience with AI tech: prompt engineering, LLMs, guardrails.
- Model selection and cost-performance trade-offs; RAG vs context windows.
- Agentic architectures: tool use, multi-agent orchestration, human-in-the-loop.
- AI Safety & Risk awareness: guardrails, input validation, data leakage prevention.
- Systems thinking and business-system familiarity: workflows, data models, adoption.
π Benefits
- Benefits to support health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
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