Intern AI Solution Engineer (Japanese)

Responsibilities
Pre- Sales & Solution Support:

Assist in pre- sales activities, including technical proposals, proof- of- concepts (PoCs), and solution demos.
Research and develop AI- driven prototypes, showcasing the capabilities of NLP, Large Language Models (LLMs), and Cloud AI solutions.
Partner with the Solution Architect team to understand and analyze business problem statements from clients.

Solution Development & Implementation:

Support in integrating AI models with enterprise systems and APIs.
Deploy AI solutions on cloud platforms (Azure, AWS, GCP), ensuring scalability, security, and efficiency.
Implement and fine- tune NLP models for real- world applications such as chatbots, document automation, and intelligent search.
Work with senior engineers to design and deliver AI- powered software solutions that align with business needs.

Collaboration & Knowledge Sharing:

Proactively participate in discussions, presenting ideas clearly in English to both technical and non- technical stakeholders.
Stay up to date with the latest AI trends, continuously exploring ways to enhance our solution offerings.
Work in cross- functional teams, collaborating with developers, data scientists, and pre- sales engineers.

Requirements

MongoDB
PostgreSQL
Python
Natural Language Processing
Data Engineering
Large Language Model
Data Engineer
English
Japanese

Must- Have:

Certified minimum N3.
Proactive and confident speaker, with fluent English communication skills (both verbal and written).
Final- year student or recent graduate in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong analytical and problem- solving skills, with a mindset to turn complex business problems into AI- driven solutions.
Strong knowledge of NLP, including Large Language Models (LLMs), OpenAI, Hugging Face, or LangChain.
Solid experience in software engineering (Python, JavaScript, or related programming languages).
A self- starter, eager to learn and take initiative in a fast- paced environment.

Nice- to- Have:

Hands- on experience with MLOps tools for AI model lifecycle management.
Familiarity with Cloud Computing (Azure, AWS, GCP) and AI model deployment.

Laptop, Chế độ bảo hiểm, Du Lịch, Phụ cấp, Đồng phục, Chế độ thưởng, Chăm sóc sức khỏe, Đào tạo, Tăng lương, Công tác phí, Nghỉ phép năm, CLB thể thao

Cập nhật gần nhất lúc: 2025-09-30 02:35:03