Position: AI Engineer Intern
Location: Dong Hoa Ward, HCMC (formerly Binh Duong) near National HCMCU village
Position type: Full-time Internship
Working hours: 8:30 AM 5:30 PM (Monday to Friday)
Reports to: Line Manager / CEO
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This position is for candidates who want to participate in developing core AI modules for the company's multi-Agent AI platform, focusing on advanced technologies such as LLM and RAG.
RESPONSIBILITIES
The candidate willparticipatein developing AI modules for the company'smulti-Agent AIplatform, including the following tasks:
- Build and develop workflows for processing user requests, document analysis, RAG, and AI Agent.
- Implement, evaluate, andoptimizeLLM models (calling API or using self-hosted models).
- Participatein building backend API for the AI system (FastAPI).
- Data processing: document parsing, embedding, vector search, data preprocessing.
- Evaluate AI output quality,optimizeprompts, andoptimizemodel inference flow.
- Coordinate with DevOps to run AI services (Docker, Linux, logging).
- Participatein reviewing technical documents, proposing solutions, and improving the system.
- Report progress according to sprints and work towardsobjectives.
REQUIREMENTS
MUST HAVE:
- 3rd or 4th year student in Computer Science, Information Technology, or a relatedfield.
- ProficiencyinPython(data processing, clean logic, API calls/JSON) and familiarity withFastAPI(building/maintainingAPIs).
- Strong foundational knowledge ofAI/LLM & MachineLearningandDeep LearningincludingRAG, embeddings, vector similarity, and ML evaluation concepts.
- Clear understanding ofLLM mechanics(tokenization, context window, inference).
- Proven practical experience with1-2 real-world AI/ML projects(product, academic, or freelance).
- Ability to performbasic DevOps(Docker, Linux commands, log reading) and adhere toGit/GitLab workflows(MRs, basic review, simple conflict resolution).
NICE-TO-HAVE:
- Experience with FastAPI, RAG pipelines, and AI agent frameworks (REACT / PlanAct, LangChain, AutoGen, MCP).
- Familiarity with vector/graph databases (Qdrant, Neo4j) and graph data modeling.
- Knowledge of Tree-sitter / AST-based analysis.
- Rust (for engine-level work) or TypeScript (e.g., VS Code extensions).
BENEFITS
- Provide monthly internship allowance
- Receive in-depth training in AI/LLM/RAG technologies.
- Direct guidance from experienced AI engineers.
- Participate in real AI projects thatimpactthe company's products.
- High opportunity to become a full-time employee after the internship period.
- Holiday celebrations.
- Teambuilding, sports activities (soccer, badminton)
