Related skills
deep learning ai generative ai reinforcement learning llm📋 Description
- Team Leadership — Build and grow a team of AI engineers and researchers.
- Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products.
- Eval-Driven Development — Establish benchmark-driven evaluation frameworks.
- Agent Harness Design — Build end-to-end Agent Harness infrastructure.
- LLM Orchestration — Orchestrate creative reasoning with guardrails.
- Engineering Workflow Integration — Integrate AI into core engineering pipelines.
🎯 Requirements
- Master's or PhD in Computer Science, Artificial Intelligence, or a related field.
- 10+ years in AI/ML research, productization, or platform development with leadership roles.
- Deep expertise in LLMs and Generative AI, deep learning, RL, and related areas.
- Proven track record translating AI capabilities into measurable business outcomes.
- End-to-end delivery experience with autonomous AI Agent products, from inception to production operations.
- Proficiency in Mandarin and English is required to collaborate across multilingual, cross-regional teams.
🎁 Benefits
- Competitive total compensation package
- L&D programs and education subsidies
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More details to share during recruitment
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!