Key Responsibilities

• Participate in core research, development, and integration of LLM-based projects.
• Design, train, fine-tune, and deploy models based on Transformer architectures (e.g., GPT, Gemini, LLaMA, Deepseek).
• Independently handle model optimization, evaluation, and inference performance improvements.
• Conduct prompt engineering to enhance model controllability, consistency, and safety.
• Implement evaluation, safety, and reliability mechanisms for LLMs, ensuring robust deployment in production environments.
• Build agentic AI systems by integrating APIs, contextual memory, and reasoning capabilities to accomplish complex tasks.
• Collaborate with product and engineering teams to deliver real-world AI applications, including automation, analytics, and intelligent assistants.
• Stay updated on advancements in open-source LLM ecosystems and contribute to model research or open-source communities when applicable.

Qualifications

Education & Background

• Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Around 2 years of experience in AI SaaS or LLM-based application development, including model fine-tuning, deployment, or integration.
• Prior project experience in the education, legal, or financial sectors will be an advantage.

Technical Skills

• Deep understanding of LLM architectures (e.g., Transformer, RAG, instruction-tuning, quantization).
• Proficiency in Python and at least one AI framework (PyTorch, TensorFlow, or similar).
• Practical experience in prompt engineering, fine-tuning, or reinforcement learning with human feedback (RLHF).
• Skilled in model evaluation metrics (accuracy, hallucination control, bias testing, safety alignment).
• Experience deploying models via cloud AI services (AWS, Azure, GCP) or containerized environments.
• Familiarity with LangChain, MCP protocol, or agentic frameworks is a plus.
• Open-source contributions or published AI research papers are highly valued.

Other Requirements

• Strong communication skills in both English and Mandarin; ability to communicate effectively with regional colleagues and partners is an advantage.
• Able to work independently and learn new technologies quickly.
• Highly self-motivated, with the ability to deliver results in a fast-paced environment.
• Passionate about AI-driven product development and intelligent systems.

What We Offer

• Competitive compensation and growth-oriented equity incentives.
• Opportunities to work alongside leading AI entrepreneurs and technical experts.
• An open, collaborative, and innovation-driven culture.
• Flexible work arrangements and strong support for professional growth.
• The opportunity to help build next-generation Agentic AI platforms for industries such as education, legal, and finance.