AI Engineer (Contract)

Key Responsibilities

Generative AI & Agentic AI

• 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 that can be leveraged across multiple business use cases.

Machine Learning & Data Science

• Develop machine learning models for:

o Client propensity prediction

o Recommendation systems

o Classification and ranking

o Behavioral analytics

o 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 continuously improve accuracy and relevance.

AI Application Development

• 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.

Required Qualifications

Experience

• Experience in:

o Machine Learning Engineering

o Data Science

o AI Engineering

o Advanced Analytics

• Hands-on experience building and deploying ML or AI solutions into production.

Technical Skills

Programming

• Python (mandatory)

• SQL

• REST APIs

Machine Learning

Experience with:

• Scikit-Learn

• XGBoost / LightGBM

• TensorFlow or PyTorch

Generative AI – (MANDATORY)

Experience in all the following areas:

• RAG

• Vector Search

• LLM Applications

• Dify

• Agentic AI frameworks

Data Engineering

Knowledge of:

• Data pipelines

• Data transformation

• Feature engineering

• Data quality management

Cloud & DevOps

Experience with:

• OCP (Openshift Platform)

• Docker

• Kubernetes

• CI/CD pipelines

• Git

Preferred Qualifications

• Experience with financial services, banking, capital markets, or wealth management.

• Experience building recommendation engines or personalization solutions.

• Experience with search, retrieval, and knowledge management platforms.

• Familiarity with MLOps, LLMOps, and AI governance practices.

• Experience working with unstructured document repositories and enterprise knowledge sources.

Thanks,

Saghana Sithara

BusinessManager, Recruitment| Quess Selection & Services, Singapore

EA LicenseNumber: 23C2060 Registration ID is R1550224

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“This is in partnership with the Employment andEmployability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers andemployers seeking employment and employability solutions. e2i serves as abridge between workers and employers, connecting with workers to offer jobsecurity through job-matching, career guidance and skills upgrading services,and partnering employers to address their manpower needs through recruitment,training, and job redesign solutions. e2i is a tripartite initiative of theNational Trades Union Congress set up to support nation-wide manpower andskills upgrading initiatives. By applying for this role, you consentto Quesscorp Singapore’s PDPA and e2i’s PDPA.”