AI Engineer

We are a fast-growing and exciting tech company that provides innovative and human-centric digital twin solutions, ranging from smart construction, 3D visualisation, VR gaming to 4D immersive experience. Our team is eager to co-create a better future smart city.

Job Description

We are looking for a passionate and skilled Machine Learning Engineer, focus on AI(Agentic) and LLM Application Engineering (LLMOps) with a solid foundation in algorithms to join our technology team.

You will work closely with product managers, and engineers to develop AI-driven innovative products that drive the intelligent transformation of our core business.

Key Responsibilities:

• Develop agentic AI systems by leveraging frameworks such as LangChain, AgentScope, and Spring AI to build sophisticated multi-agent collaborative workflows and intelligent task orchestration.

• Participate in large language model (LLM) selection, fine-tuning, and prompt engineering; design and implement robust evaluation frameworks to ensure model performance, reliability, and alignment with business objectives.

• Participate in the design and development of AI-related projects, focusing on Natural Language Processing (NLP) and Computer Vision (CV).

• Build and optimize deep learning models, and carry out model training, evaluation, and deployment.

• Process and clean both structured and unstructured data to create high-quality training datasets.

• Select and fine-tune algorithms based on business needs to improve model performance.

• Stay up-to-date with the latest AI technologies, write technical documentation, and share knowledge within the team.

Requirements:

• Bachelor’s degree or above in Computer Science, Artificial Intelligence, Mathematics, Electronic Engineering, or other related fields; fresh graduates are welcome.

• Proficient in at least one mainstream deep learning framework such as PyTorch, or TensorFlow.

• Strong programming skills in Python with solid engineering practices and clean coding habits.

• Familiar with common machine learning and deep learning algorithms such as CNN, RNN, Transformer, etc.

• Knowledge of model deployment tools such as ONNX, TensorRT, TorchScript, FastAPI, Docker, etc.

• Excellent communication and teamwork skills.

We offer attractive salary package and career advancement opportunities to the right candidates. Interested parties please send your detailed resume with EXPECTED SALARY & AVAILABLE DATE, by clicking "Apply Now".