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. 

Fitness Studio (member management, events) + Gym-Tech SaaS (B2B, gym owner clients) 

CEO & CTO 

Full-time · Salaried 

Fully remote — Philippines-based preferred; other time zones considered if AST/ADT overlap is met 

Must have meaningful overlap with Atlantic Time (AST/ADT) business hours 

GoHighLevel (required), n8n, LLM APIs (OpenAI / Anthropic), ZenPlanner, Read AI, Slack 

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. 

• 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 

• 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 

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 

• 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 

• 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