Summary

Job Context

---

Job Responsibilities

Propose and lead research activities involving LLMs customization and optimization for different applications across Corning businesses.

Design and implement LLMs using advanced RAG techniques such as Query Transformation, Index Retrieval, Re-Rank, etc. to ensure the application is precisely adapted and optimized for specific requirements.

Develop LLM agents using LangGraph framework proficient in task planning and execution, ensuring smooth integration with external tools, databases, and APIs to tackle complex problems and improve decision-making.

Develop and implement NLP models and algorithms to solve various language-related problems.

---

Experience Requirements

• 1 - 2 years

Educational Requirements

• Bachelor/Honors

Skills

• Proven hands-on experience in developing and deploying LLMs, especially the experience with Prompt Engineering and RAG to enhance the response capabilities of LLM. Familiar with LangChain architecture, connecting external tools, databases, and APIs. Deep understanding of NLP techniques, including transformers, attention mechanisms, and transfer learning. Proficiency in text data processing such as information retrieval, information extraction, text classification, feature engineering. Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Master's degree in Computer Science, Engineering or similar field of study.

Age

• 22 - 35 Age

Additional Requirements

---

Compensation & Other Benefits

• - Mobile Bill , Tour , Holidays , Performance Bonus
• - Salary Review: Half Yearly

Work place

• Work At Office

Employment Status

• Full Time

Gender

• Male

Job Location

• Taiwan