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AI Engineering (Vietnam) - English Speaking - Remote

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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Khác, Khác

So sánh mức lương? Mức lương ngành Kỹ thuật / Cơ khí →

Tổng quan

  • IFHA (Inbound-First Hospitality Alliance): our alliance of 400+ hotels, ryokans and resorts across Japan, plus 15+ facilities in Vietnam.
  • Guest-facing SaaS: GEM (guest engagement), MenyGo (mobile ordering) and Smartphone Concierge - 1.6M+ cumulative system users.
  • AI visibility: AEO (answer-engine optimisation) audits, AI Profile - a machine-readable hotel data directory built for AI systems to cite - and the AI Learner Dashboard.
  • IT consulting: DX strategy, system design and offshore development in Vietnam with JP/EN bridge engineering.
  • Reports to: Chief AI Officer (CIAO), Japan HQ
  • Works with: Product & AI team, Ops, Sales, and client-facing consultants
  • Type: Full-time, senior
  • Location: Vietnam
  • Build with AI coding agents, daily. Design, prompt, review and ship production code - internal tools, data pipelines, integrations and client-facing products - using AI coding agents as your primary engineering workforce. We use Claude Code today and stay deliberately tool-agnostic: Codex, Cursor, Gemini CLI, Copilot and whatever ships next are all fair game if they do the job better.
  • Own and maintain the agent instruction layer. Author and continuously maintain AGENTS.md / CLAUDE.md and equivalent instruction files, repo conventions, sub-agent definitions, skills, slash commands, MCP tool wiring and scheduled jobs - so that any agent, on any tool, produces work to the same standard. Treat these as versioned, reviewed, tested assets, not scratch notes.
  • Set and enforce the engineering standard for AI-built code. Define how we write prompts, tests, evals, code review and guardrails; define what an agent may do unsupervised, what needs a human gate, and what is never automated. Keep a measurable bar (review pass rate, escaped defects, rework) rather than a vibe.
  • Run the agent workflow as a system. Design the handoff pipeline from requirement → scoped agent task → PR → review → deploy. Keep context hygiene, repo safety (pre-checks, reversibility, rollback), and destructive-operation policy explicit and followed.
  • Scale the consultant. Build the tooling that lets one our consultant serve many hotels - audits, reports, data structuring and delivery automation.
  • Support AI Profile and AEO products. Build and maintain the data pipelines, schema and feeds behind our hotel data products.
  • Run the CIAO's execution. Translate strategy into scoped projects, estimates and weekly delivery; report progress, cost and risk back to the CIAO.
  • Measure and control cost. Track model and token spend across tools, pick the right model and tool for each job, and keep unit economics healthy.
  • Multiply the team. Train engineers, consultants and non-engineers to work with AI tools safely and well; turn repeated work into reusable skills, templates and plugins; run short reviews and working sessions that raise the whole team's level instead of routing every hard task through you. Aim to make yourself removable from the critical path.
  • Communicate across borders. Write the specs, decision records, weekly updates and risk/blocker reports that keep Japan HQ, the Vietnam team and client-facing staff aligned - clearly enough that a non-engineer can act on them and a senior engineer can argue with them. Say plainly what is decided, what is open, and what needs the CIAO's call.
  • Keep us current. Evaluate new agents, models, MCP servers and workflow tools on a regular cadence; recommend adopt/trial/hold with evidence, migration cost and risk - not hype.

Quyền lợi

  • Remote-first with occasional travel to Japan, potential to move to an office.

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