AI Developer / AI Automation Engineer

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.

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