Generative AI Engineer — RAG & Production ML

Quess Corp Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Quess Corp Limited in Singapore seeks a Business Manager, Recruitment with a strong background in Generative AI and AI-enabled recruitment strategies. You will design AI agents, develop RAG systems, and integrate AI services with enterprise data sources to streamline recruitment processes.

The role emphasizes hands-on production ML/AI work, data quality, and scalable AI solutions within financial services or related domains. Face-to-face interviews will be held in Singapore.

Qualifications

• Experience building and deploying ML or AI solutions into production (hands-on).
• Knowledge of feature engineering and data quality management."

Responsibilities

• Design and develop AI agents using modern agent frameworks.
• Build and optimize RAG (Retrieval-Augmented Generation) solutions.
• Develop agent orchestration workflows and tool-calling frameworks.
• Implement prompt engineering, evaluation, reflection, and memory capabilities.
• Build reusable AI components across business use cases.
• Develop ML models for propensity prediction, recommendation systems, classification and ranking, behavioral analytics, and next-best-action recommendations.
• Perform data exploration, feature engineering, and model evaluation.
• Analyze large structured and unstructured datasets to generate actionable insights.
• Monitor model performance and improve accuracy and relevance.
• Build production-ready AI services and APIs.
• Integrate AI solutions with enterprise systems and data sources.
• Implement monitoring, observability, and evaluation frameworks.
• Optimize AI solutions for performance, scalability, and cost efficiency.

Skills

Generative AI

ML Engineering

Data Science

Advanced Analytics

Job description

Quess Corp Limited in Singapore seeks a Business Manager, Recruitment with a strong background in Generative AI and AI-enabled recruitment strategies. You will design AI agents, develop RAG systems, and integrate AI services with enterprise data sources to streamline recruitment processes.

The role emphasizes hands-on production ML/AI work, data quality, and scalable AI solutions within financial services or related domains. Face-to-face interviews will be held in Singapore.