AI Engineer

UIC Asian Computer Services Pte Ltd; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

UIC Asian Computer Services Pte Ltd seeks an AI Engineer to drive AI development across the enterprise. You will build AI-powered applications, work with LLMs and AI agents, and integrate AI into enterprise systems via APIs and cloud platforms.

The role emphasizes data handling, model management, and collaboration with business stakeholders to deliver innovative AI-driven solutions for digital transformation.

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, Software Engineering, or related field.
• 2 to 3 years of hands-on experience in AI/ML and AI-powered application development.
• Experience with HRIS/HR/payroll systems is a plus.

Responsibilities

• Design, develop, test, deploy, and maintain AI-enabled applications.
• Develop AI solutions to improve processes, productivity, and UX.
• Integrate AI capabilities via APIs and enterprise services.
• Develop AI Agents and LLM-based workflows using LangChain and LangGraph.
• Prepare data and manage AI models, including vector databases and embeddings.
• Deploy AI solutions on Azure and cloud platforms with Docker and Git.

Skills

AI/ML expertise

LLMs & Agentic AI

Prompt engineering

REST APIs

Python

Education

Bachelor's degree in CS/AI/IT

Tools

Docker

Git

TensorFlow

PyTorch

LangChain

LangGraph

Azure AI Services

Azure OpenAI

OpenAI APIs

MCP

Job description

ABOUT US

UIC Asian Computer Services Pte Ltd provides IT support, network troubleshooting, system installation, and managed technology services for enterprise clients. We are committed to delivering reliable and efficient IT solutions that help businesses operate securely and effectively.

With a strong focus on customer satisfaction and service excellence, we support organizations across various industries through our experienced team of IT professionals. We value teamwork, continuous learning, and opportunities for professional growth.

JOB SUMMARY

The AI Engineer is a technical role responsible for supporting the development and adoption of AI technologies across the organization. The role works closely with business and technical stakeholders to deliver innovative solutions that enhance operational efficiency, improve user experience, and support enterprise digitalization initiatives.

PRINCIPAL ACCOUNTABILITIES

AI Application Development

• Design, develop, test, deploy, and maintain AI and Maintain Learning applications.
• Develop AI-powered solutions to improve business processes, productivity, and user experiences.
• Integrate AI capabilities into existing and new enterprise application through APIs and application services.

Agentic AI & Large Language Models (LLMs)

• Develop and implement solutions using Large Language Models (LLMs), AI Agents, and Agentic AI systems.
• Design, evaluate and optimize prompts to improve response quality and consistency.
• Build and maintain Retrieval-Augmented Generative (RAG) solutions and knowledge-based AI applications.
• Develop AI Agent workflows using frameworks such as LangChain and LangGraph.

Data & AI Model Management

• Prepare, process, and manage data required for AI applications and model development.
• Work with vector databases, embeddings, and semantic search technologies.
• Integration AI applications with enterprise data platforms, Fabric SQL databases, and APIs as required.
• Monitor, evaluate, and improve the performance, reliability, and effectiveness of AI models and applications.

Cloud & Platform Deployment

• Deploy and support AI solutions using Azure AI Services, Azure OpenAI, and OpenAI APIs.
• Manage AI application deployment and maintenance using Docker, Git, and cloud technologies.
• Ensure solutions comply with security, governance, and data privacy requirements.

Business Collaboration & Support

• Collaborate with business users and stakeholders to gather requirements and identify AI use cases.
• Translate business requirements into practical AI-driven solutions.
• Prepare technical documentation and provide application support where required.
• Support AI initiatives involving HRIS, Payroll, Time & Attendance, and other Enterprise Business Applications.

Research & Continuous Improvement

• Stay updated on emerging AI technologies, industry trends, and best practices.
• Conduct research, proof-of-concepts (POCs), and technology evaluations to support innovation initiatives.
• Recommend and implement improvements to AI applications and processes.

REQUIREMENTS

Education

• Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Software Engineering, or a related discipline.

Experience

• Minimum 2to 3 years of experience in AI, Machine Learning, Agentic AI, or AI-powered application development.
• Hands-on experience in designing, developing, and integrating AI Agents, Large Language Model (LLM)-based applications, or Retrieval-Augmented Generation (RAG)solutions.
• Experience in developing or supporting Human Resource Information Systems (HRIS), Payroll, Time & Attendance, or Enterprise Business Applications is preferred.
• Knowledge of HR and payroll business processes, enterprise workflows, business process automation, and system integration is an added advantage.

Technical Skills

• Strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, and Large Language Models (LLMs).
• Proficiency in Python and experience integrating services through REST APIs and JSON.
• Experience with AI frameworks such as TensorFlow, PyTorch, LangChain, and LangGraph.
• Experience with Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, and AI Agent development.
• Familiarity with Azure AI Services, Azure OpenAI, OpenAI APIs, Model Context Protocol (MCP), Docker, Git, and cloud deployment technologies.

Soft Skills

• Strong analytical and problem-solving skills.
• Good communication and interpersonal skills.
• Ability to work independently and collaboratively in a team environment.
• Self-motivated, proactive, and adaptable to changing business requirements.
• Good organizational and time management skills, with the ability to meet project deadlines.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate (AI-102).
• Microsoft Certified: Azure Data Scientist Associate (DP-100).
• Microsoft Certified: Azure AI Fundamentals (AI-900).
• Microsoft Certified: Azure Fundamentals (AZ-900).
• Generative AI, LLM Engineering, Prompt Engineering, or Retrieval-Augmented Generation (RAG)-related certifications from recognized training providers.
• TensorFlow Developer Certificate or equivalent AI/ML certifications.

WHY JOIN US?

At UIC Asian Computer Services Pte Ltd, we believe our people are key to our success. We offer an environment where employees can build their expertise, take on meaningful responsibilities, and grow professionally. Join us to be part of a team that is passionate about technology, customer service, and delivering value to our clients.