AI Software Engineer

About Codex Solutions

A joint venture company by ST Engineering and HTX (Home Team Science and Technology Agency), Codex Solutions is set up to be a dynamic and forward-looking technology company established to develop cutting-edge software solutions that support and strengthen Singapore’s homeland security efforts. As a mission-driven organisation, we are focused on building strong in-house capabilities that directly address the complex challenges faced by the Home Team.

With a strong emphasis on innovation, product excellence, and impact at scale, Codex Solutions offers a unique environment where purpose meets technology. We are assembling a diverse and talented team of technologists and problem solvers who are passionate about making a real difference. If you're looking to shape meaningful solutions and be part of something bigger — Codex Solutions is where you’ll want to be.

Together, We Can Make A Significant Impact

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 experien, entry level of graduates with strong fundamentals, internship experience, or relevant project work may also be considered.

Be Part of Our Success

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.

Qualities We Value

• 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, React or similar technologies.

• Experience working with Kubernetes and containerised applications.

• Experience with CI/CD pipelines and Git based workflows.

• Experience building and operating production systems.

Additional Information

Shortlisted applicants may be involved in classified or sensitive projects that require handling of restricted information. As such, selected candidates will be required to undergo a security clearance process as part of the employment consideration.