AI Integration Engineer

AI Integration Engineer The person who builds the intelligent systems across a performance gym and a B2B SaaS platform — so both founding teams can focus on the work only humans can do. Sector Fitness Studio (member management, events) + Gym-Tech SaaS (B2B, gym owner clients) Reports To CEO & CTO Type Full-time · Salaried Location Fully remote — Philippines-based preferred; other time zones considered if AST/ADT overlap is met Hours Must have meaningful overlap with Atlantic Time (AST/ADT) business hours Tools GoHighLevel (required), n8n, LLM APIs (OpenAI / Anthropic), ZenPlanner, Read AI, Slack Role Overview Our client operates two businesses that both need AI infrastructure built from scratch. The gym needs an end-to-end member lifecycle automation stack — lead capture to retention. The SaaS platform needs prospecting, onboarding, and churn prevention agents that scale revenue without scaling headcount. This hire owns both. This is not a workflow configuration role. The right candidate will architect agents that make decisions, hold context, and act autonomously — not trigger-action flows with an AI label on them. Key Responsibilities For the Gym Client Member check-in automation, booking and cancellation flows, and FAQ chatbots for front desk reduction Lead inquiry chatbot for the website and Meta ad funnel — qualifies prospects and routes into GHL 4-part email nurture sequence in GHL from first touch to booked consultation Automated follow-up sequences that adapt based on lead behaviour: opens, clicks, non-response Event communications: ticket reminders, training countdowns, waitlist management Member retention scoring and attrition risk alerts using gym management platform data Class programming support tools, attendance tracking, and session note generators for coaches Content calendar planner, caption writer, and newsletter agent for the marketing team Weekly automated KPI reporting dashboard — CEO sees everything without logging into multiple tools For the SaaS Client Lead scraper agent to identify and compile gym owner prospects across North America Personalised cold outreach sequencer that drafts and stages messages based on gym profile GoHighLevel CRM pipeline automation: auto-tagging, stage progression, follow-up triggers Gym onboarding agent that walks new partners through setup steps autonomously Churn risk monitor and retention alerter based on gym engagement data MRR and churn dashboard with automated weekly reporting Discovery call prep and CRM auto-tagging using meeting transcript data Support chatbot for gym partners with escalation routing to the team Who Will Succeed in This Role This is a builder role inside two fast-moving businesses. The team has a clear vision and does not want polished decks. The right person ships a working prototype before asking for a meeting about the approach — and can hold two very different business contexts in their head simultaneously. Thinks in agents, not Zaps — sketches agent architecture before touching any tool Obsessed with what AI can do right now — follows releases, reads papers, applies new capabilities immediately Builds end-to-end: APIs, webhooks, prompt engineering, deployment — not just drag-and-drop Documents clearly enough that a non-technical CEO understands what was built Strong bias for speed — ships before scheduling a planning call Builds for now, not for theoretical future scale Can context-switch between a gym and a SaaS startup without losing precision on either Experience & Skills Required LLM API experience: Hands-on with OpenAI, Anthropic, or equivalent — prompt engineering, tool use / function calling, agent patterns in production GoHighLevel (GHL): Hands-on experience with CRM workflows, pipelines, automation, and GHL API — this is a hard requirement; disqualify without it AI fluency: Active daily AI user — assessed at screening; must demonstrate specific tools and real applications, not just 'I use ChatGPT' Automation platforms: REST APIs, webhooks, and at least one platform (n8n, Make.com, or Zapier) Written English: Strong async documentation — samples reviewed at screening Availability: Atlantic Time (AST/ADT) overlap required for standups and async collaboration Preferred RAG & memory: Experience with retrieval-augmented generation, memory layers, or persistent agent contexts Fitness / SMB background: Understands member or client journeys in gym, wellness, or service business context Portfolio: GitHub or demo showing an autonomous agent built and deployed in a real context