AI Engineer (Web3)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (Internal Tools & Automation): Building and deploying internal AI tools and agentic workflows to eliminate operational bottlenecks with an accent on LLM prototyping and RAG pipelines. Focus on shipping production-ready AI systems, automating business processes across various departments, and improving operational efficiency.
Location: Must be based in Hong Kong
Company
Institutional global digital asset platform providing market infrastructure and information services through Exchange and CoinDesk.
What you will do
- Identify and scope operational bottlenecks to build tools that resolve them.
- Develop and maintain production AI systems, including RAG pipelines and conversational interfaces.
- Implement workflow automation using tools like n8n, Make, Zapier, or custom Python.
- Collaborate across organization teams to gather requirements and secure data access.
- Define and track performance metrics to measure the impact of implemented tools.
- Conduct workshops and training for non-technical teams to ensure tool adoption.
Requirements
- Portfolio of shipped projects, public demos, or a GitHub profile.
- Proven experience moving fast with LLMs and coordinating coding agents.
- Production-level instincts regarding error handling, evals, and observability.
- Process-driven mindset with a habit of documenting SOPs and checklists.
- Strong communication skills to translate technical solutions into business value.
- Minimum 2+ years of experience shipping tools used by actual users.
Nice to have
- Experience with vector databases such as Qdrant, Pinecone, or pgvector.
- Proficiency in SQL and relational databases.
- Basic knowledge of Docker and containerization.
- Exposure to blockchain or trading concepts.
Culture & Benefits
- Fast-evolving environment striving for a globally-diverse community.
- Focus on integrity and valuing different perspectives.
- Opportunity to work on cutting-edge AI automation in the digital asset space.
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