AI Engineer

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD is seeking an AI Engineer to develop AI and ML solutions across business divisions. You will work with stakeholders to translate needs into technical requirements and deliver AI-driven products, including deployment of models and integration via APIs.

Responsibilities include data wrangling, backend API development, and building frontend interfaces for AI-powered applications. Knowledge of AWS, LLM concepts, and agent frameworks is highly valued.

Qualifications

• Bachelor's degree in CS/CE/ML/DS/AI or related fields.
• Experience with cloud platforms, AWS preferred.
• Understanding of LLM concepts and architectures (RAG, embeddings).
• Knowledge of vector databases and embedding techniques.
• Experience with prompt optimization and context engineering.
• Familiarity with LangChain/LangGraph/DeepAgents.
• Proficient in backend and frontend web tech (REST APIs, React/TS).
• Experience with Docker/Kubernetes for prod applications.

Responsibilities

• Collaborate with business users to identify priorities and use cases.
• Propose and develop data science or Generative AI solutions to create value.
• Build AI applications and data science models, incl. in-house agentic platform.
• Research AI techniques to adopt (LLM, agent frameworks, etc.).
• Data wrangling: preprocessing, cleaning, feature engineering.
• Develop backend APIs and services for AI deployment and integration.
• Build frontend interfaces for AI-powered applications.
• Review and fix security vulnerabilities in systems.

Skills

Generative AI

Data science modelling

Presentation skills

Non-technical communication

Education

Bachelor's Degree in CS/CE/ML/DS/AI

Tools

Docker

Kubernetes

FastAPI

Flask

Express.js

React

Vue.js

TypeScript

SQL

Git

Tableau/Power BI

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 various business 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 the client's portfolio of deployed AI applications and data science models, including its in-house agentic platform.
• Researching emerging AI/data science techniques and identifying relevant ones for the organisation to explore and adopt (e.g. Agentic AI, LLM, Predictive Modelling, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation).
• Data wrangling and analysis, including 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.

To perform this role, you must have/be:

• Minimum of a Bachelor's Degree in Computer Science, Computer Engineering, Machine Learning, Data Science, AI or related disciplines.
• Experience in cloud platforms and services, preferably 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), RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript).
• Experience with Docker/Kubernetes for deploying production-grade applications.
• Proficient in Git, SQL and modern programming languages (e.g. TypeScript, C#).
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS Power BI, MicroStrategy).
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience.