Senior Software Engineer (AI Engineer)

AMBITION GROUP SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

AMBITION GROUP SINGAPORE PTE. LTD. is seeking a skilled software engineer to design and deliver scalable full-stack applications, leveraging React, Python, and cloud technologies in enterprise and public sector projects.

Join a fast-paced, innovation-led team building AI-enabled features and modern digital solutions. You will collaborate with product, design, and engineering teams to deliver production-ready applications, while adopting DevOps practices and CI/CD pipelines in AWS/Azure/GCP

Qualifications

• Degree in Computer Science, Engineering, Information Systems, or a related field.
• 3+ years of hands-on software development delivering enterprise or large-scale applications.
• Strong experience with React, HTML, CSS, JavaScript, Python, Node.js, and SQL/NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP), test automation, CI/CD pipelines, and Agile development methodologies.
• Exposure to Docker, Kubernetes, and AI/LLM application development is highly preferred.

Responsibilities

• Design, develop, and maintain full-stack web applications using modern front-end technologies (React, HTML, CSS, JavaScript) and back-end technologies (Python, Node.js, SQL/NoSQL databases).
• Develop and integrate AI-powered capabilities including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions into enterprise applications.
• Build, test, deploy, and support cloud-native applications across AWS, Azure, or GCP environments, following DevOps, CI/CD, and secure coding best practices.
• Collaborate with UX/UI designers, engineers, QA teams, and business stakeholders to deliver scalable, high-quality solutions, prototypes, and production-ready applications.
• Troubleshoot technical issues, create technical documentation, and stay current with emerging technologies and AI development trends.

Skills

React

HTML

CSS

JavaScript

Python

Node.js

SQL/NoSQL

AWS/Azure/GCP

CI/CD

Agile

Docker

Kubernetes

AI/LLM

Education

Degree in Computer Science, Engineering, Information Systems, or related field

Tools

Docker

Kubernetes

Job description

Our client is a technology-focused software engineering and innovation company that develops modern digital solutions for enterprise and public sector environments. The team works extensively across full-stack application development, cloud technologies, DevOps, and emerging AI capabilities, including Generative AI and intelligent automation. Engineers have the opportunity to build scalable, cloud-native applications, integrate AI-driven features, and collaborate closely with product, design, and engineering teams to deliver impactful digital products in a fast-paced, innovation-led environment.

Responsibilities

• Design, develop, and maintain full-stack web applications using modern front-end technologies (React, HTML, CSS, JavaScript) and back-end technologies (Python, Node.js, SQL/NoSQL databases).
• Develop and integrate AI-powered capabilities including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions into enterprise applications.
• Build, test, deploy, and support cloud-native applications across AWS, Azure, or GCP environments, following DevOps, CI/CD, and secure coding best practices.
• Collaborate with UX/UI designers, engineers, QA teams, and business stakeholders to deliver scalable, high-quality solutions, prototypes, and production-ready applications.
• Troubleshoot technical issues, create technical documentation, and stay current with emerging technologies and AI development trends.

Requirements

• Degree in Computer Science, Engineering, Information Systems, or a related field.
• Minimum 3 years of hands-on software development experience delivering enterprise or large-scale applications.
• Strong experience with React, HTML, CSS, JavaScript, Python, Node.js, and SQL/NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP), test automation, CI/CD pipelines, and Agile development methodologies.
• Exposure to Docker, Kubernetes, and AI/LLM application development is highly preferred.
• Strong communication, problem-solving, and stakeholder management skills with the ability to work effectively in cross-functional teams.