AI Engineer

JD NLP Engineer

At
PREP

, we are on a mission to revolutionize how millions of learners master English and Chinese. We believe in the power of AI to create hyper-personalized and deeply effective learning experiences. We are looking for a visionary AI Engineer to join our world-class team and build the core intelligence that powers our platform, helping students conquer high-stakes exams like IELTS, TOEIC, and HSK.

This is not just another AI job. This is a chance to see your work directly impact learners' lives, helping them achieve their academic and professional dreams.

What You Will Do:

• Architect and Develop Advanced NLP Models:

Pioneer cutting-edge solutions for a range of educational applications, including:
- Automated Scoring & Feedback:

Design systems for instant and accurate scoring of essays, pronunciation, grammar, and vocabulary.
- Intelligent Learning Assistants:

Build sophisticated AI tutors and conversational agents that can understand student queries, provide contextual explanations, and guide them through their learning journey.
- Robust Speech Technologies:

Implement and fine-tune state-of-the-art Speech-to-Text (S2T) and Text-to-Speech (T2S) models to create immersive practice environments.
- Pioneer our AI Conversation Partner:

Build the core AI for a virtual speaking partner, designed specifically to help users build
real-world communication skills

through interactive, realistic dialogues with instant coaching.
- Research & Implementation:

Stay at the forefront of AI research, experimenting with and applying the latest techniques (e.g., Transformers, Large Language Models) to solve unique challenges in language education.
- Collaborate and Ship:

Work closely with product managers, software engineers, and language experts to integrate your AI models into our products, ensuring they are scalable, efficient, and deliver tangible value to our users.

Hard Skills Requirements

:

• Bachelor's or Master's degree in Computer Science or related fields.
• At least 2 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.
• 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.
• Proficient in applying AI to research and problem solving

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.

Benefits

:

• Salary: Up to 40 million VND.
• KPI bonus based on work results and company revenue (2-4 million/month), paid in monthly salary.
• Salary increases based on performance and contribution.
• Flexible working hours, a youthful and dynamic work environment.
• Health insurance, team building activities, annual vacations.

Note:

By submitting a CV/Resume, along with the information provided by the applicant, and any exchanges during the interview process with Prep (if applicable), the applicant AGREES to Prep's Privacy Policy and the handling of personal data, which is established and issued in accordance with Decree No. 13/2023/NĐ-CP on personal data protection. Additionally, the applicant agrees to allow Prep to collect and store the information provided for the following purposes:

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Collecting personal data and selecting candidates for interviews;

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Contacting and notifying the applicant;

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Assessing the applicant's suitability to select the appropriate candidate for the company's current position.