AI ENGINEER

• Analyze and understand end-user requirements to design and implement NLP/LLM solutions (e.g., agentic AI, retrieval-augmented generation, QA systems, information extraction pipelines).  
• Research and experiment with open-source AI models and frameworks, evaluate new LLM APIs, and explore emerging paradigms such as agentic AI and Model Context Protocol (MCP).  
• Design scalable AI systems that can support multiple users concurrently, ensuring high availability, low latency, and role-based access control.   
• Develop and optimize data pipelines, training, and inference systems for NLP applications..  
• Fine-tune and serve LLMs (e.g., GPT, LLaMA, Mistral, Qwen, Phi) using frameworks such as vLLM, Unsloth, SGLang.  
• Collect, synthesize, and curate high-quality datasets from multiple sources, including generation from LLMs.  
• Evaluate, train, and benchmark custom models using HuggingFace datasets, tools, and libraries.  
• Collaborate with cross-functional teams to deploy models into production and monitor performance metrics.

• Competitive salary and benefits package, rank 20 – 40M (willing to negotiate).
• Opportunity to work with cutting-edge technologies.
• A dynamic and supportive work environment.
• Compensation, pay a 13th month salary depending on employee’s performance.
• Social – Health – Insurance paid fully. Healthcare: Premium Health Insurance.
• Advantageous and yield benefits, other benefits such as holiday vacations, benefits for employee’s relatives.
• Professional development and career growth opportunities.

• Have good knowledge in at least one of the following areas: Machine Learning, Natural Language Processing, Deep Learning Architectures (AutoEncoder, CNN, RNN, ViT, BERT, LLMs (Mistral, LlaMa, Qwen, VLMs etc. )
• Has expertise in collecting data from websites and generating data from LLMs to build highly quality training datasets
• Has expertise in doing survey Hugging Face datasets and models, training NLP models.
• Proficient in high-level programming languages, especially Python.
• Familiar with Linux/Unix/Shell, Docker.
• Training and deploying machine learning
• Familiar with cloud platforms like AWS/Azure.
• Proficient in FAST API.
• Processing models through backend: ONNX, TritonServer
• Message broker: RabbitMQ
• Databases: MongoDB, Solr, Elasticsearch
• Serving large language models GPT, Llama, Mistral, Phi, Qwen with vLLM, Unsloth, SGLang
• Continual pre-training, finetuning large language models with LoRa, SFT, DPO, ORPO

Soft Skills Requirements

• Good interpersonal, self-organizing, problem solving, reasoning and analytical skills.
• Passionate about quality, work productivity and product maintainability.
• Communicate your ideas and knowledge well to your teammates.
• Demonstrate team spirit and communication skills.

• Email: hr@1office.vn
• Hotline: 1900 3313