AI Engineer - #1693

JOBSTER PRIVATE LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

JOBSTER PRIVATE LTD. is seeking an AI Engineer to develop Generative AI and data science models for multiple divisions.

You will partner with stakeholders to translate business needs into technical requirements and deliver AI solutions that drive measurable outcomes. You will build AI applications, data pipelines, APIs and frontend interfaces, apply security best practices, and explore emerging techniques such as LLMs, vector databases, and agentic architectures.

Qualifications

• Bachelor’s degree in CS/CE/ML/DS or related field.
• Experience with cloud platforms, preferably AWS.
• Understanding of LLM concepts and agentic architectures.
• Experience with web frameworks and RESTful APIs.
• Familiarity with Docker/Kubernetes for production deployments.
• Proficiency in TypeScript, C#, and modern programming languages.

Responsibilities

• Collaborate with business users to identify priorities and use cases.
• Develop AI/DS solutions using Generative AI and data science techniques.
• Build AI applications and data science models, including agentic platforms.
• Research emerging techniques (LLMs, RAG, vector databases).
• Data wrangling, preprocessing, and feature engineering.
• Develop backend APIs and services for model deployment and integration.
• Create frontend interfaces for AI-powered apps and ensure security fixes.

Skills

AWS experience

LLM concepts

LangChain

Full-stack development

RESTful APIs

Docker

Kubernetes

TypeScript

Git

SQL

Data wrangling

Data analysis

Frontend development

Education

Bachelor’s Degree in Computer Science, Computer Engineering, ML/DS/AI or related

Tools

Tableau

Qlik

MS PowerBI

MicroStrategy

Job description

JOB DESCRIPTION

As an AI Engineer, you will use Generative AI techniques complemented with data science modelling to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate user needs into technical requirements, and deliver AI and Machine Learning solutions that drive measurable outcomes.

Your roles and responsibilities include:

• 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 EDB’s 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 EDB 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

JOB REQUIREMENTS

To perform this role, you must have/ be:

• 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