AI Forward-Deployed Engineer for Internal Tools & Automation

Bullish

Hong Kong

On-site

HKD 720,000 - 1,140,000

Full time

10 hours ago
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Job summary

Bullish is seeking an AI Engineer — Internal Tools & Automation to join the AI Engineering team. You will build tools to fix bottlenecks, ship production AI systems, and own deployments end-to-end.

You will collaborate across teams, prototype with LLMs and agents, and ensure tools are usable by non-technical partners. 5+ years shipping tools is preferred and you’ll own what you build up to production.

Qualifications

  • 5+ years in a role where you shipped tools that people actually used.
  • Experience moving fast with LLMs and coordinating multiple coding agents.
  • Production instincts: observability, error handling, and 3am reliability.
  • Process-driven mindset with SOPs and checklists.
  • Ability to translate technical work into business terms.

Responsibilities

  • Partner with a business counterpart to identify and scope operational bottlenecks, then build the tools to fix them.
  • Move autonomously across the organization: gather requirements, secure data access, and earn the trust of teams you're helping.
  • Ship quickly using whatever fits: n8n, Make, Zapier, Lovable, or custom Python. Right tool for the right job.
  • Build and maintain production AI systems: RAG pipelines, conversational interfaces, workflow automation, internal agents
  • Run workshops and training sessions to help non-technical teams actually use what you build
  • Define metrics upfront, track them, and tell the story of what changed.

Tools

Vector databases (Qdrant, Pinecone, pgvector)
SQL
Docker
Blockchain concepts exposure

Job description

Bullish is seeking an AI Engineer — Internal Tools & Automation to join the AI Engineering team. You will build tools to fix bottlenecks, ship production AI systems, and own deployments end-to-end.

You will collaborate across teams, prototype with LLMs and agents, and ensure tools are usable by non-technical partners. 5+ years shipping tools is preferred and you’ll own what you build up to production.

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