Position: AI Engineer Intern
Working hours: 8:30 AM – 5:30 PM (Monday to Friday)
Location: Dong Hoa Ward, HCMC (formerly Binh Duong) – near National HCMCU village
Reports to: Line Manager / CEO
Position type: Full- time Internship
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This position is for candidates who want to participate in developing core AI modules for the company&039;s multi- Agent AI platform, focusing on advanced technologies such as LLM and RAG.
RESPONSIBILITIES
The candidate will participate in developing AI modules for the company&039;s multi- Agent AI platform, including the following tasks:
Data processing: document parsing, embedding, vector search, data preprocessing.
Report progress according to sprints and work towards objectives.
Build and develop workflows for processing user requests, document analysis, RAG, and AI Agent.
Coordinate with DevOps to run AI services (Docker, Linux, logging).
Participate in building backend API for the AI system (FastAPI).
Participate in reviewing technical documents, proposing solutions, and improving the system.
Evaluate AI output quality, optimize prompts, and optimize model inference flow.
Implement, evaluate, and optimize LLM models (calling API or using self- hosted models).
REQUIREMENTS
MUST HAVE:
Clear understanding of LLM mechanics (tokenization, context window, inference).
Proficiency in Python (data processing, clean logic, API calls/JSON) and familiarity with FastAPI (building/maintaining APIs).
Strong foundational knowledge of AI/LLM & Machine Learning and Deep Learning including RAG, embeddings, vector similarity, and ML evaluation concepts.
Ability to perform basic DevOps (Docker, Linux commands, log reading) and adhere to Git/GitLab workflows (MRs, basic review, simple conflict resolution).
3rd or 4th year student in Computer Science, Information Technology, or a related field.
Proven practical experience with 1- 2 real- world AI/ML projects (product, academic, or freelance).
NICE- TO- HAVE:
Knowledge of Tree- sitter / AST- based analysis.
Rust (for engine- level work) or TypeScript (e.g., VS Code extensions).
Familiarity with vector/graph databases (Qdrant, Neo4j) and graph data modeling.
Experience with FastAPI, RAG pipelines, and AI agent frameworks (REACT / Plan–Act, LangChain, AutoGen, MCP).
BENEFITS
Provide monthly internship allowance
Direct guidance from experienced AI engineers.
High opportunity to become a full- time employee after the internship period.
Receive in- depth training in AI/LLM/RAG technologies.
Holiday celebrations.
Teambuilding, sports activities (soccer, badminton)
Participate in real AI projects that impact the company&039;s products.
APPLY HERE
