Senior Software Engineer (AI Engineer)

Ambition Singapore

Singapore

On-site

SGD 78,000 - 134,000

Full time

41 hours ago
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Job summary

Ambition Singapore seeks a software engineer to join a tech-forward team delivering cloud-native enterprise applications with AI features. You will work across AWS/Azure/GCP, implement CI/CD, and collaborate with product, design, and engineering teams to ship scalable solutions.

You will develop AI capabilities including Generative AI and LLMs, stay current with AI trends, document technical details, and promote secure coding practices within a fast-paced environment.

Qualifications

  • Degree in Computer Science, Engineering, Information Systems, or related field.
  • Minimum 3 years of hands-on software development delivering enterprise or large-scale applications.
  • Experience with cloud platforms (AWS, Azure, or GCP), test automation, CI/CD pipelines, and Agile development.
  • Exposure to Docker, Kubernetes, and AI/LLM application development preferred.

Responsibilities

  • Develop and integrate AI-powered capabilities including Generative AI, LLMs, RAG, and Agentic AI into enterprise applications.
  • Build, test, deploy, and support cloud-native applications across AWS, Azure, or GCP environments with DevOps, CI/CD, and secure coding practices.
  • Collaborate with UX/UI designers, engineers, QA, and stakeholders to deliver scalable, high-quality solutions and production-ready apps.
  • Troubleshoot issues, document technical details, and stay current with AI development trends.

Skills

Cloud platforms
CI/CD
Agile
DevOps
AI/ML development

Education

Bachelor's degree in Computer Science/Engineering/IS

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
  • 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.
  • 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.
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