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.
  

• Bachelors 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 React 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