AI Engineer (Gen AI)

Our client, one of Asia-Pacific’s leading organizations is looking for:

AI Engineer (Gen AI)
Responsibilities:

• Collaborating with business users to understand their key priorities and use cases
• Proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Working directly on building portfolio of deployed AI applications and data science models, including our in-house agentic platform 
• Researching emerging AI/data science techniques and identifying relevant ones for to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering 
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Reviewing and implementing fixes for reported security vulnerabilities

Requirements:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Experience in cloud platform and services preferably in AWS 
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking,token management) and architectures (e.g. RAG), including Knowledge of vector databases and embedding techniques 
• Experience with harness engineering, context engineering techniques and prompt optimization strategies
• Understanding of AI agent frameworks and multi-agent systems (e.g. LangChain, LangGraph, DeepAgents)
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience in Docker/Kubernetes for deploying production grade applications
• Proficient in git, SQL, modern programming languages (e.g. typescript, C#)
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience 

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “AI Engineer (Gen AI)"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora 
EA Personnel Registration Number: R22109615

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Skills

Multi-Agent Systems, Retrieval-Augmented Generation (RAG), Front-End Architecture, Data Wrangling, Generative AI Application Development and Deployment, Architecture, Fraud Detection, LLM Security, Computer Science, Generative AI Application Development and Deployment in Financial Services, Use Case Analysis, Embedding, Cloud Services, Data Science, Application Portfolio Management, Context Engineering