AI Integration Engineer

AI Integration Engineer

Mexico City, CDMX, Mexico

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Job Openings AI Integration Engineer

About the job 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

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