AI Developer / AI Automation Engineer

About the company

Our client is a lean, founder-led venture-building studio and family office running a portfolio of businesses across events, hospitality, luxury consumer, media, and investments. The company is building AI-first operating systems so a small team can run multiple businesses at once - removing repetitive admin, improving decision-making, and keeping headcount deliberately low.

Why this role exists

The studio needs one hands-on technical owner for AI and automation across the whole portfolio. Some automations already exist; the mandate is to take them over, rebuild what needs rebuilding, and own a clean, maintainable stack end to end. There is no technical manager above you - you work directly with the founder and the commercial lead, and the architecture decisions are yours.

What you'll work on

AI development & automation - 80%

• AI research agents: vendors, sponsors, guests, brands, venues, market opportunities
• Screening and scoring systems that combine scraped data with hard metrics and business criteria
• Inbox triage, summarisation, and routing; multi-inbox monitoring with decision-ready daily summaries
• Systems that turn unstructured founder inputs (screenshots, voice notes, links) into recommendations and routed tasks
• CRM and outreach workflows, dashboards and trackers, calendar and recurring-task automations

No one has built all of this - what matters is a track record with comparable use cases and the ability to transfer it to new problem types. Expect a fast cadence: first automation live within 30 days, several production workflows by 60-90 days.

Technical generalist - 20% (~1 day/week)

• Keep the operational stack running: Notion (incl. Notion AI), Google Workspace, HubSpot, access management, integrations, troubleshooting, data cleanup

Requirements

• Shipped production automations or AI-powered tools in a real business context - not side projects, demos, or hackathon builds
• Practical fluency with LLMs, APIs, and at least one automation platform (Make, n8n, Zapier, or similar)
• Python or equivalent scripting ability - many builds are achievable low-code, but candidates who can write and debug their own scripts have a higher ceiling
• Experience with vector search, RAG, agent frameworks, function calling, and workflow orchestration
• Ability to design workflows with human approval points, exception handling, logging, and error recovery - systems that fail gracefully and visibly, not silently
• Strong documentation habits - your systems must be maintainable and understandable by non-technical colleagues
• Comfort with ambiguity, shifting priorities, and working independently without full specs or a technical escalation path
• English sufficient for daily written and spoken communication (B2+)

Nice to have

• Experience building internal tools for executives, family offices, venture studios, agencies, or lean startups
• HubSpot or comparable CRM experience

Location requirements

• Fully remote, but your working day must overlap with UK time (GMT/BST) for 6-8 hours daily
• An additional ~2-hour overlap with Malaysia time (GMT+8) is a plus

What to expect

• Greenfield mandate: build and own the AI stack; genuine autonomy, no stakeholder committees
• Cross-portfolio ownership - your systems run real businesses across events, media, luxury, and investments
• Direct access to the founder from day one; radically lean process: a call → a decision → execution
• An expanding role: new ventures continuously add projects, with the prospect of support hires under you as the stack grows

Interview process

• Recruiter screen (incl. a short portfolio example of an automation you built)
• Interview with the client
• Practical assessment
• Final interview with the founder

Terms

• Remote-first contractor engagement; own equipment required
• 28 days PTO per year, taken freely - covers vacation, sick leave, and holidays in a single policy
• Business travel expenses covered when required