4 дня назад
AI Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Forward Deployed Engineer (AI): Building production AI tools, RAG pipelines, conversational interfaces, workflow automation, and internal agents to eliminate operational bottlenecks across customer success, exchange operations, trading, and custody with an accent on rapid prototyping and business-focused delivery. Focus on coordinating LLM coding agents, designing reliable production systems with evaluations and observability, and measuring the operational impact of shipped solutions.
Location: Hong Kong
Company
is a media, events, indices, and data company serving the global crypto economy and operating as an independent subsidiary of the Bullish group.
What you will do
- Partner with business counterparts to identify operational bottlenecks and build tools that address them.
- Gather requirements, secure data access, and collaborate autonomously across customer success, exchange operations, trading, and custody.
- Prototype and ship solutions using n8n, Make, Zapier, Lovable, custom Python, and other appropriate tools.
- Build and maintain production AI systems, including RAG pipelines, conversational interfaces, workflow automation, and internal agents.
- Run workshops and training sessions that help non-technical teams adopt delivered tools.
- Define metrics, track results, and communicate the operational impact of shipped solutions.
Requirements
- Portfolio of shipped tools, personal projects, public demos, write-ups, walkthroughs, or live applications.
- Practical experience using LLMs and coordinating multiple coding agents to match model capability with task complexity.
- Production experience with evaluations, error handling, and observability.
- Process-driven approach with clear documentation, standard operating procedures, and checklists.
- Strong communication skills for translating technical work into business outcomes.
- 5+ years of formal experience in a role involving tools used by real users.
Nice to have
- Experience with vector databases such as Qdrant, Pinecone, or pgvector.
- Familiarity with SQL and relational databases.
- Basic Docker and containerization knowledge.
- Exposure to blockchain or trading concepts.
Culture & Benefits
- Fast-moving, impact-focused work centered on prototyping, shipping, measuring results, and iterating.
- Opportunity to work across multiple business functions and eliminate operational friction.
- Equal employment opportunity and reasonable accommodation support are provided.
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