PolyU Academy for Artificial Intelligence
Senior Engineer / Engineer
(Ref. 260415009-IE)
Duties
The appointee will be required to work for one of the constituent research units - Research Institute for Federated Learning (RIFL) under the PolyU Academy for Artificial Intelligence (PAAI). He/She will be required to:
(a) design and implement robust Large Language Model (LLM)-powered agent systems in specific domains, be capable of data collection and processing, model inference, model fine-tuning, self-evolution and long-term planning;
(b) integrate and optimise advanced autonomous coding and browser-control tools, such as Claude Code and OpenClaw, to automate internal developer workflows and external data-gathering tasks;
(c) fine-tune and prompt-engineer various LLMs, such as Claude 3.5, GPT-4 and Llama 3, to achieve specific agentic behaviours, with a focus on reducing latency and improving accuracy and efficiency;
(d) build the backend services, vector databases and state-management systems required to maintain agent "memory" across complex sessions;
(e) develop rigorous testing frameworks to measure agent reliability, safety and performance, moving beyond simple accuracy to evaluate "reasoning" paths;
(f) build a federated agentic system incorporating privacy-enhanced techniques to provide private and collaborative solutions to the agentic workflow; and
(g) perform any other duties as assigned by the Director and the Executive Director of PAAI or their delegates.
Qualifications
Applicants should:
(a) have a recognised degree with at least five years of solid experience at supervisory level;
(b) have in-depth knowledge in working with LLM APIs, such as Anthropic and OpenAI, and local deployments;
(c) have proven experience in agentic frameworks such as Claude Code, OpenClaw or Cursor;
(d) be proficient in coding and Machine Learning tools, such as Python and PyTorch;
(e) have experience in data and infrastructure with vector stores and containerization, such as Docker and Kubernetes, and GPU infrastructure;
(f) have a good command in both written and spoken English and Chinese; and
(g) have good communication skills.
Preference will be given to those with experience in federated learning and privacy computing.
Shortlisted candidates will be invited to sit for a written test.
Applicants with less supervisory experience will be considered for the post of Engineer.
Conditions of Service
A highly competitive remuneration package will be offered. Initial appointment will be on a fixed-term gratuity-bearing contract. Re-engagement thereafter is subject to mutual agreement.
Consideration of applications will commence on 22 April 2026 until the position is filled.
Posting date: 15 April 2026