Added
1 day ago
Type
Full time
Salary
Salary not provided

Related skills

prompt engineering mlops recommendation systems rag llm

πŸ“‹ Description

  • Lead AI algorithm team: plan and execute CS, LLM apps, and personalized recommendations.
  • Drive exploration of AI tech and champion AI-native development to boost R&D.
  • Lead the AI platform development, consolidating capabilities and infra.
  • Collaborate with product and business teams to translate AI into business value.
  • Recruit and develop talent; set engineering standards and culture.
  • Track AI frontiers (LLM, Agent, RAG, multimodal) and define adoption roadmaps.

🎯 Requirements

Must-Have

  • Bachelor's degree or higher in CS, Math, or related field; MS/PhD preferred.
  • 5+ years AI/ML algorithm engineering with 2+ years in management.
  • Hands-on experience in intelligent customer service, AIGC, or related areas.
  • Deep expertise in recommender systems: recall, ranking, and re-ranking.
  • Productionizing LLMs: Prompt Engineering, RAG, fine-tuning, and agents.
  • Experience building enterprise knowledge bases: parsing, vectorization, RAG, knowledge graphs.

Nice to Have

  • Strong business acumen β€” align algorithm work with business goals.
  • Excellent cross-team communication and collaboration.
  • Experience with AI platform or MLOps infra development.
  • Background from a top-tier tech company or AI unicorn.
  • Hands-on with AI coding tools (Cursor, Copilot, etc.).

🎁 Benefits

  • Study Growth Fund for professional development.
  • Internal events for team-building and learning.
  • Global collaboration with diverse international teams.
  • Career advancement opportunities.
  • Internal mobility and long-term career path.
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