AI Engineer
# AI Engineer **DNA325** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Automation-Engineer]` `[AI-ML-Engineer]` `[Prompt-Engineer]` `[Artificial-Intelligence-Engineer]` `[AI-Engineering-Specialist]` `[AI-Engineering]` `[Artificial-Intelligence-Engineering]` `[Python-AI-Engineer]` `[AI-Agent-Engineer]` --- ### 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
- AI-Engineer
- Machine-Learning-Engineer
- Automation-Engineer
- AI-ML-Engineer
- Prompt-Engineer
- Artificial-Intelligence-Engineer
- AI-Engineering-Specialist
- AI-Engineering
- Artificial-Intelligence-Engineering
- Python-AI-Engineer
- AI-Agent-Engineer
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).