AI Development Lead

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

• Own technical architecture for AI microservices, data flows, and LLM prompts/guardrails; enforce CI/CD and observability • Lead model development: define strategies for LLM tuning (instruction-tuning, LoRA/PEFT, adapters), data curation/synthetic data, hyperparameter search, and offline/online evaluation (golden sets, A/B, canary) • Build NLP capabilities: intent/slot models, NER, sentiment, summarization, classification/ranking; select architectures (Transformers) and optimize with metrics like F1, precision/recall, ROUGE, BLEU, and embedding similarity • Stand up AIOps/MLOps (monitoring, alerting, fallbacks, retraining), define accuracy/SLA benchmarks, and guide QA • Lead voice interfaces (STT/TTS), telephony, and real-time dialogue management across channels • Oversee CRM, calendar, and payment integrations; ensure conflict resolution, secure transactions, and compliance (GDPR/CCPA/PIPEDA) • Drive experimentation for model/STT/TTS selection and orchestration; document outcomes, mentor engineers, and produce partner docs/SDKs

🎯 Requirements

• 7+ years software/AI engineering • 3+ years leading AI product teams (LLMs, conversational AI, or voice) • Hands-on LLM tuning: instruction-tuning and/or LoRA/PEFT, prompt design and evaluation, structured tool/function calling, RAG system design (chunking, embeddings, re-ranking) • Solid NLP grounding: text preprocessing, tokenization, embeddings, classification/NER/summarization/semantic search, and evaluation (F1/ROC-AUC/ROUGE/BLEU) • Delivered production AI with LLMs, telephony, and third-party APIs (CRM/payments/messaging) • Hands-on cloud microservices & data (AWS, Aurora Serverless, Redshift), Docker, CI/CD; testing and performance tuning • Governance/compliance experience (GDPR/CCPA/PIPEDA); proven path from prototype to production with reliable ops

🏖️ Benefits

• Benefits • Vacation