Related skills
prompt engineering recommendation systems llms rag generative aiπ Description
- Own AI-driven trading products: LLM-based recs, AI decisions, signals
- Understand user needs, combine LLMs, NLP to design AI features
- Build LLM-powered generative recommendations, dynamic experiences
- Stay updated on AIGC, LLMs, multimodal agents
- Define AI product roadmap with 0β1 and 1βN goals
- Collaborate with algorithm, backend, frontend, data teams across lifecycle
π― Requirements
- Bachelor's degree or above in CS, AI, DS, Financial Engineering, or related field
- 5+ years product mgmt, 2+ years AI/LLM products; finance/trading background preferred
- Strong knowledge of LLMs, generative AI, and rec systems; prompt, RAG, retrieval
- Strong AI product sense with ability to turn model capabilities into user value
- Familiar with recall, ranking, cold start; LLM-based rec experience a plus
- Strong data analysis skills; proficient in SQL and BI; plan tracking and AB tests
π Benefits
- Shape the future with the worldβs leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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