AI/ML Engineer

Overview This role focuses on developing GenAI/LLM solutions such as Chatbots, AI Agents, and Copilots, as well as building RAG systems and integrating LLMs with existing platforms. The role also involves designing production-ready GenAI architectures and deploying AI solutions on cloud platforms.
Responsibilities GenAI / LLM Development
Build GenAI applications based on Large Language Models (LLMs) such as Chatbots, AI Agents, and Copilots.
Design and implement RAG pipelines (document ingestion, chunking, embedding, retrieval, re-ranking).
Perform prompt engineering, including prompt templates, system prompts, and tool calling.
Conduct fine-tuning / instruction tuning (when necessary) or adapter-based tuning (LoRA, PEFT).
AI Architecture & Integration
Design GenAI architectures for production environments (API-based, microservice-oriented).
Integrate LLMs with existing systems: Web, Mobile, CRM, ERP, CMS, and Data Platforms.
Work with vector databases (FAISS, Milvus, Pinecone, Weaviate, etc.).
Requirements Must-have
From 4 years of experience in AI/ML development or Software Engineers transitioning into AI.
Strong proficiency in Python.
Hands-on experience with LLM / GenAI platforms (OpenAI, Azure OpenAI, Gemini, Claude, open-source LLMs).
Experience building RAG systems.
Solid understanding of tokens, context windows, embeddings, temperature, top-k/top-p.
Experience with REST APIs, JSON, and asynchronous processing.
Preferred
Experience with LangChain, LangGraph, LlamaIndex, Dify, or equivalent frameworks.
Experience with vector databases (FAISS, Milvus, Pinecone, etc.).
Experience deploying AI solutions on AWS / Azure / GCP.
Knowledge of Docker and CI/CD.
Experience working on client projects (ITO/consulting).
Nice to have
Experience with AI Agents (multi-agent systems, tool-based agents).
Experience fine-tuning open-source LLMs (LLaMA, Mistral, Qwen, etc.).
Knowledge of Knowledge Graphs and Hybrid Search (BM25 Vector).
Experience with traditional NLP techniques.
Understanding of data privacy and security in AI systems.
Benefits
Working in a young and professional environment.
Staying in a friendly and spiritual space (daily tea break, weekly sports time, monthly outdoor activity and annual holiday).
Obtaining guidance and awareness of advanced technologies.
Earning very competitive salary.
Being reviewed to increase salary twice per year.
Receiving social insurance according to Vietnamese Government regulations.
Having opportunity to join Football, Gym, Badminton and Swimming Club.
Working hours: 5 days/week (Monday to Friday).