AI Engineer

• Design & ship AI features across modules; translate user journeys into secure, low-latency microservices backed by an LLM.
• Prompt engineering : develop prompt templates (zero/one/few-shot), function/tool calling schemas (JSON), and guardrails/policies for bookings, FAQs, and safe human handoff; version prompts and track telemetry (win rate, latency, cost).
• Conduct experiments to evaluate model performance, benchmark across Gemini, GPT, Claude, LLaMA, and other LLMs, and recommend best-fit solutions.
• Grounding & retrieval : bind conversations to client profiles, calendars, memberships, pricing, and staff availability; implement context windows, citations, and fallback strategies.
• Voice & telephony : integrate STT/TTS and Twilio/LiveKit with barge-in, interruption handling, and dialogue-state recovery.
• Booking & payments : connect to the WellnessLiving engine, calendar sync, conflict/resourcing logic, and Nuvei/Paragon flows with retries and failure recovery.
• Insights & growth : ship Business Coach KPIs and NL Q&A; add predictive/“what-if” scenarios and personalized recommendations.
• Marketing automation : segmentation, AI content, A/B tests, send-time optimization, lead scoring; close the loop with engagement signals to tune prompts/models.
• Omnichannel inbox : unify SMS/email/in-app/WhatsApp/voice/social with intent/sentiment routing and in-thread booking/payment; meet audit/SLA targets.
• Engineering excellence : write tested Python/TypeScript; Dockerize; add logs/metrics/traces/alerts; maintain runbooks/postmortems and participate in on-call.
• Evaluate & harden : build golden-set tests, automated prompt/model evals, red-team for jailbreak/injection, and optimize accuracy/latency/cost/resilience.

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