Listed on Himalayas. You apply through their page. We never charge applicants.
Estimated pay
Estimate$177K–$264K/yr
Estimate — the employer hasn't published pay.
Based on 133 similar mid-level AI Engineer jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
Data Science & ML salaries →Prepare for this job
Free on every jobLikely interview questions
At a glance
- Education
- Master's
Skills mentioned
About the role
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.
This is a builder role — the person ships working systems the business actually uses — reliable agents and automations that hold up in production.
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
Originally posted on Himalayas