AI Engineer

• Work with internal departments to evaluate business processes and uncover opportunities for AI-driven innovation and automation.
  
  


• Architect and deliver scalable Generative AI and Machine Learning solutions to streamline workflows, enhance productivity and support business decision-making.
  
  


• Enhance existing AI applications and intelligent automation platforms by incorporating advanced data science techniques and agent-based AI capabilities.
  
  


• Investigate new developments in Artificial Intelligence, including Large Language Models (LLMs), predictive modelling, anomaly detection and natural language processing, to identify potential applications.
  
  


• Process and organise complex datasets through data preparation, transformation and feature engineering to support reliable AI model development.
  
  


• Engineer robust backend systems, APIs and integration components to enable efficient communication between AI models and enterprise applications.
  
  


• Construct responsive web-based interfaces that allow users to interact effectively with AI-powered tools and intelligent systems.
  
  


• Leverage Retrieval-Augmented Generation (RAG), vector search, embeddings and context engineering techniques to improve the accuracy and relevance of AI-generated outputs.
  
  


• Administer cloud-hosted AI solutions and containerised environments, ensuring system stability, security compliance and effective deployment.
  
  


• Conduct application testing, performance assessments and technical troubleshooting while coordinating with stakeholders to refine AI solutions and achieve desired business outcomes.
  
  

Requirements

• Bachelor's Degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Machine Learning or a related technical discipline.
  
  


• Hands-on experience in developing AI/ML applications, Generative AI solutions and cloud-based systems, preferably using AWS, with exposure to end-to-end software development.
  
  


• Solid knowledge of LLM frameworks, RAG implementations, vector databases, prompt engineering, context optimisation and multi-agent technologies such as LangChain, LangGraph or DeepAgents.
  
  


• Technical proficiency in programming and web development technologies, including TypeScript, C#, SQL, Git, FastAPI, Flask, Express.js, React, Vue.js, Docker and Kubernetes, with familiarity in data visualisation tools such as Power BI, Tableau, Qlik or MicroStrategy.
  
  


• Strong problem-solving, interpersonal and communication abilities, with a proactive approach to learning emerging technologies and explaining technical concepts to business stakeholders.
  
  

Clarence Khoh

R1552376