AI Engineer Intern (RAG, Docker, API)

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)