AI Engineer

October 28

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WellnessLiving

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Wellness • SaaS • Fitness

WellnessLiving is a comprehensive software solution designed for the fitness and wellness industry. It offers a suite of tools for managing businesses such as yoga studios, fitness centers, dance studios, and wellness businesses. The platform includes features for online booking, staff and client management, reporting, payments, and marketing solutions like email and SMS marketing. It also integrates with various services like QuickBooks and Google, providing users with a cloud-based enterprise solution that enhances operational efficiency and client engagement. WellnessLiving aims to boost business growth, retention, and streamline daily operations.

201 - 500 employees

🧘 Wellness

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. • 3+ years building backend or ML-enabled apps with production LLM exposure. • Proficiency in Python and one of TypeScript/Node.js/JavaScript; REST/GraphQL experience. • Demonstrated prompt-engineering experience, tool/function calling, structured outputs (JSON), retrieval/RAG prompting, safety/guardrail design, and A/B or golden-set evaluation. • Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex. • Strong experience with data manipulation and analysis tools (SQL, Pandas, NumPy). • Familiar with Docker, Git, CI/CD, cloud services; comfortable adding observability and tests. • Solid authN/authZ, privacy, and secure PII handling; benchmarking for latency/concurrency/error recovery.

🏖️ Benefits

• Benefits • Vacation