NLP Engineer (AI Engineer)

NLP Engineer (Pre-Senior / Senior)

Job Description:

We are seeking a highly skilled AI Engineer to join our dynamic team. The successful candidate will play a critical role in developing and implementing cutting-edge Natural Language Processing (NLP) techniques to power our AI-driven language learning products. You will work on a variety of applications, including but not limited to:

• Automated essay scoring
• Pronunciation, grammar, and lexical scoring
• AI-based learning assistants
• Conversational AI systems
• Personalized adaptive learning systems
• And more innovative AI-powered education tools

Key Responsibilities:

• Design, implement, and optimize NLP pipelines for real-world language learning applications
• Fine-tune Large Language Models (LLMs) for specialized tasks
• Develop agentic systems that support multi-step reasoning, task decomposition, and interactive learning
• Utilize Model Context Protocol (MCP) and other LLM orchestration frameworks to build structured, context-aware AI experiences
• Collaborate with cross-functional teams including product managers, linguists, and engineers to align AI capabilities with learning goals
• Contribute to the evaluation and continuous improvement of model performance using both automated and human-in-the-loop methods

Hard Skills Requirements:

• Bachelor's or Master's degree in Computer Science or related fields.
• At least 3 years of experience in the field of Natural Language Processing (NLP).
• Proficient in programming languages, especially Python (knowledge of C/C++ is an advantage), and capable of using frameworks such as Tensorflow, Keras, PyTorch.
• Solid understanding of LLM fine-tuning, prompt engineering, and low-rank adaptation techniques (LoRA, QLoRA, etc.)
• Hands-on experience with building or integrating Agentic AI workflows using tool-augmented agents or function-calling
• Expertise in building, analyzing data, training, and optimizing NLP models.
• Experience in model serving (using RayServe, Triton, TorchServe, etc.) and service integration and deployment is an advantage.
• Significant experience with Large Language Models (LLM) is a major advantage.
• Proficient use of Git, Docker.
• Experience with data organization systems: Database (Postgres, MySQL), Cache (Redis), Queue (RabbitMQ, Kafka) is an advantage.
• Ability to comprehend technical documents, scientific articles, and stay up-to-date with the State of The Art (SOTA).
• Strong analytical and problem-solving skills.

Soft Skills Requirements:

• High enthusiasm and responsibility.
• Good communication skills, proactive, flexible at work, collaborative, and friendly within the team.
• Careful in work and considerate of customers.
• Fluency in English and Chinese is an advantage.