Responsibilities
- Collaborate with LLM/VLM Training Engineers to integrate models into interactive applications.
- Build and test backend APIs (Python, FastAPI, Flask) for chatbot or agent workflows.
- Support frontend interface development for chat and visualization (React/Next.js preferred).
- Assist with data preparation and evaluation pipelines for LLM/VLM fine-tuning or RAG workflows.
- Implement and test retrieval-augmented generation (RAG) components using vector databases (Qdrant, Pinecone, FAISS).
- Help monitor, analyze, and improve chatbot response quality and performance.
- Contribute to prompt design, model integration, and A/B testing with real user data.
Requirements
- Student or recent graduate in Computer Science, Data Science, or related field.
- Strong Python programming skills; familiar with FastAPI, Flask, or Django.
- Basic understanding of machine learning, NLP, or computer vision concepts.
- Some knowledge of frontend technologies (React, HTML/CSS, or TypeScript).
- Familiar with APIs, Git, and Docker.
- Good analytical thinking, curiosity, and teamwork skills.
Nice to Have
- Active GitHub repository.
- Knowledge of agent/ LLM concepts and frameworks.
- Passion for AI, problem-solving, and pushing the boundaries of what’s possible.
Benefits
- Dynamic environment for continuous learning and growth.
- Compensation: up to $1,200 monthly.
- Weekly team lunches, birthday treat and other company engagement activities.
Work Arrangement
On-site — Ho Chi Minh City
Additional Information
- Three-month internship
- Available to start in February/March
