• Senior-level, hands-on experience in building automation or AI/agent systems end-to-end — able to operate with high autonomy on greenfield build, writing/shipping code personally rather than delegate
• Strong cloud engineering experience; AWS experience preferred, given Experity's existing AWS footprint, but not exclusionary — general cloud/LLM-architecture depth matters
• Hands-on experience with LLM/agentic architecture patterns (orchestration, tool-use/function-calling, RAG where relevant) framework-agnostic; production experience is what matters, not any one specific stack.
• Understand the difference between an AI product/tool, an LLM, and the underlying model
• Know how to select the appropriate model for a task based on capability, latency, and cost
• Understand the tradeoffs between models—for example, when to use Opus vs. Sonnet vs. Haiku, or comparable models from OpenAI and other providers
• Be comfortable using AI for code generation, debugging, refactoring, codebase exploration, testing, and documentation
• Know how to provide good context/prompts, validate AI-generated code, and recognize when not to rely on AI
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software that makes care faster, easier, and more patient-focused.