AI Software Engineer

CODEX SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

CODEX SOLUTIONS PTE. LTD. is seeking an AI Software Engineer to join a cross-functional team responsible for designing, developing, testing, and maintaining mission-critical digital solutions.

You will own features end-to-end, leveraging AI tools to accelerate delivery while ensuring reliability, security, and maintainability. With 1–3 years of experience (or strong fundamentals from graduates or internships), you will contribute across the lifecycle and collaborate with product managers,

Qualifications

• Bachelor's degree or higher in a relevant field.
• Experience developing applications with modern programming languages.
• Solid understanding of software engineering fundamentals and version control.
• Familiarity with cloud native development and AI technologies.

Responsibilities

• Design, develop and maintain production grade software applications.
• Build user facing and backend capabilities that solve operational problems.
• Translate business requirements into working software solutions.
• Participate actively in architecture and technical design discussions.
• Build and integrate AI-powered capabilities using modern language models and agentic workflows.
• Evaluate emerging AI technologies and determine how they can create value within operational use cases.
• Design applications that combine traditional software engineering and AI capabilities in a secure and maintainable manner.
• Develop cloud native solutions deployed on Kubernetes.
• Implement CI/CD and GitOps practices to automate build, deployment and operational workflows.
• Improve system reliability, observability, and maintainability.
• Write maintainable and well tested code.
• Design solutions with security, governance, and operational readiness in mind.
• Support production operations and troubleshoot issues when required.
• Work closely with product managers, designers, and business stakeholders.
• Participate in discovery activities to better understand user needs and operational challenges.
• Contribute to a strong engineering culture built on ownership, learning, and continuous improvement.

Skills

Python

Web frameworks

Problem solving

AI landscape awareness

Learning agility

Education

Degree in Computer Science, Information Systems, Software Engineering or related discipline

Tools

FastAPI

Kubernetes

CI/CD pipelines

Git

Job description

Together, We Can Make A Significant Impact - Position Overview

As an AI Software Engineer, you will be part of an Agile, cross-functional product delivery team responsible for designing, developing, testing, and maintaining mission-critical digital solutions. You will deliver functional and scalable features from the product backlog, contribute across the software development lifecycle, and help ensure that solutions are reliable, secure, maintainable, and aligned with user needs. This role is suitable for engineers with 1-3 years of experience; fresh graduates with strong fundamentals, internship experience, or relevant project work may also be considered.

What Makes This Role Different?

Unlike organisations that divide responsibilities across separate frontend, backend, QA, DevOps and platform teams, our engineers are expected to take end-to-end ownership of the products they build. From understanding user needs and designing solutions to development, deployment and operations, you will have the opportunity to influence the entire product lifecycle.

AI-assisted engineering is also a core part of how we work. Engineers are expected to effectively leverage modern AI development tools and agentic workflows to improve productivity, accelerate delivery, and increase the quality of their work.

What You Will Do

Product Development

• Design, develop and maintain production grade software applications.
• Build user facing and backend capabilities that solve operational problems.
• Translate business requirements into working software solutions.
• Participate actively in architecture and technical design discussions.

AI Product Engineering

• Build and integrate AI-powered capabilities using modern language models and agentic workflows.
• Evaluate emerging AI technologies and determine how they can create value within operational use cases.
• Design applications that combine traditional software engineering and AI capabilities in a secure and maintainable manner.

Platform Engineering

• Develop cloud native solutions deployed on Kubernetes.
• Implement CI/CD and GitOps practices to automate build, deployment and operational workflows.
• Improve system reliability, scalability, observability, and maintainability.

Quality and Security

• Write maintainable and well tested code.
• Design solutions with security, governance, and operational readiness in mind.
• Support production operations and troubleshoot issues when required.

Collaboration

• Work closely with product managers, designers, and business stakeholders.
• Participate in discovery activities to better understand user needs and operational challenges.
• Contribute to a strong engineering culture built on ownership, learning, and continuous improvement.

Requirements

What We Are Looking For

• Degree in Computer Science, Information Systems, Software Engineering or related discipline.
• Experience developing applications using modern programming languages.
• Understanding software engineering fundamentals, including version control, testing, and system design.
• Familiarity with cloud native development practices.
• Strong problem solving and analytical thinking skills.
• Willingness to learn and adapt in a rapidly evolving AI landscape.
• Familiarity with AI technologies, LLMs, agent orchestration or retrieval systems.
• Experience with Python and modern web development frameworks.
• Experience with FastAPI,[emailprotected]/href=“/”？.
• Experience working with Kubernetes and containerised applications.
• Experience with CI/CD pipelines and Git based workflows.
• Experience building and operating production systems.

Who This Role Is For

You enjoy solving difficult problems and are motivated by delivering products that people actually use. You are comfortable working across different parts of the technology stack and are willing to take ownership beyond your immediate area of expertise.

You are curious about AI, but you also understand that successful products require much more than AI alone. You appreciate the importance of software quality, security, operational excellence, and user experience.

Most importantly, you care about outcomes. You are not simply interested in writing code. You want[[[emailprotected]]?].

What Success Look Like

• Delivered production ready features used by real users.
• Contributed to the growth of the working product.
• Improved engineering efficiency through automation and AI assisted development.
• Helped establish engineering standards and best practices.
• Demonstrated ownership from idea through production operation.