SENIOR AI ENGINEER / NLP ENGINEER
product
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
Job Requirement:
- 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.
Benefits:
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.
Hours: From Monday to Friday (40 hours/Week)
Why you'll love working:
Health insurance, team building activities, annual vacations
