Junior AI Engineer

ENCORA TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

ENCORA TECHNOLOGIES PTE. LTD. in Singapore is seeking an experienced ML/AI engineer to design and deploy production-ready AI solutions, including agents, RAG systems, and orchestration workflows.

You will collaborate across ML/DS, AI engineering, and data science to deliver scalable services. Responsibilities include building AI components, integrating with enterprise data sources, and applying MLOps practices for governance and observability.

Qualifications

• Hands-on experience building and deploying ML/AI solutions into production.
• Experience in Machine Learning Engineering, Data Science, AI Engineering, Advanced Analytics.
• Proficiency with Python and ML libraries (Scikit-Learn, XGBoost/LightGBM, TensorFlow or PyTorch).
• Experience with cloud and DevOps tools (Docker, Kubernetes, OpenShift, CI/CD, Git).

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 for multiple business use cases.
• Develop machine learning models for client propensity, recommendations, classification and ranking, behavioral analytics, and next-best-action.

Skills

ML Engineering

Data Science

AI Engineering

Advanced Analytics

Tools

Python

SQL

REST APIs

Docker

Kubernetes

OpenShift

CI/CD

Git

Scikit-Learn

XGBoost

LightGBM

TensorFlow

PyTorch

RAG

Vector Search

LLM Apps

Dify

Agentic AI frameworks

Data Pipelines

Job description

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:
  • Client propensity prediction
  • Recommendation systems
  • Classification and ranking
  • Behavioral analytics
  • 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:

  • Machine Learning Engineering
  • Data Science
  • AI Engineering
  • Advanced Analytics
• Hands-on experience building and deploying ML or AI solutions into production.

Technical Skills Programming

• Programming

  • Python (mandatory)
  • SQL
  • REST APIs

• Machine Learning Experience with:

  • Scikit-Learn
  • XGBoost / LightGBM
  • TensorFlow or PyTorch

• Generative AI - (MANDATORY)

  • 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.