Tuyển dụng AI Engineer (2X-5X Million/ Month) tại Hồ Chí Minh

AI assistant / chatbot for querying advertising data, content data and business performance.

Python, PyTorch, Transformers, LangChain / LlamaIndex, FastAPI, Vector Database, PostgreSQL, ClickHouse, Redis, Docker, Next.js, NestJS, Golang, TikTok API, Facebook API.

Experiment with different model architectures and approaches to improve model quality and system performance.

Improve LLM response quality by using retrieval, memory, structured outputs, validation and post-processing.

Design guardrails and fallback strategies to reduce hallucination, incorrect answers and unsafe outputs.

Work with vector databases such as Qdrant, Milvus, Weaviate, Pinecone, FAISS or equivalent tools.

Optimize retrieval quality using hybrid search, reranking, metadata filtering and query rewriting.

Monitor and improve agent reliability, response quality and tool execution accuracy.

Apply fine-tuning techniques such as LoRA, QLoRA, instruction tuning or supervised fine-tuning when suitable.

Optimize model inference using quantization, batching, caching and distributed inference.

Proactively suggest improvements to AI pipeline, model quality, data quality and system performance.

Collaborate with QA team to design test cases for AI outputs, RAG results and agent behavior.

Use AI tools such as ChatGPT, Claude, Gemini or equivalent tools to support research, coding, debugging, documentation and evaluation.

Working in a startup environment, the product develops quickly and has many opportunities to participate in AI system design from an early stage.

Yêu cầu ứng viên

Have at least 4–5 years of experience in AI Engineer, Machine Learning Engineer, NLP Engineer, Data Scientist or equivalent position.

Strong background in Machine Learning, Deep Learning and NLP.

Experience building LLM-based systems such as chatbot, AI assistant, RAG or AI Agent.

Experience with PyTorch, Hugging Face Transformers or equivalent ML/DL frameworks.

Experience designing and building data pipelines for model training or AI inference.

Ability to work independently, self-organize and adapt quickly in a startup environment.

Experience building AI systems for real production products.

Experience with RAG systems over large-scale data, frequently updated data or multi-source data.

Experience working with third-party APIs such as TikTok API, Facebook API, Google API or equivalent platforms.

Experience with data systems such as PostgreSQL, ClickHouse, Redis, Kafka or message queues.

Communicate clearly and proactively ask when the requirement is unclear.

Good coordination with Developer, Product / Business, QA and related departments.

Careful, responsible and ownership-oriented with AI output quality.

Applicants may be required to perform a short technical discussion or live test during the interview process to assess their ability to analyze AI problems, design AI architecture, reason about data and choose suitable technical approaches.

Explain how to evaluate the quality of an LLM / RAG / AI Agent system.

Quyền lợi được hưởng

• Salary: 2x.xxx.xxx-5x.xxx.xxx million / month, depending on ability.
• Participate in social insurance, health insurance fully as prescribed.
• Opportunity to build real AI products related to social media, advertising data, content data and platforms such as TikTok, Facebook, Zalo in the future.
• Opportunity to work from research to production, including RAG, AI Agent, LLM integration, model optimization and data-driven AI systems.