Lead Software Engineering, AI Products

Codex Solutions; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Career development

Modern tools & cloud tech

Secure DevSecOps environments

Job summary

Codex Solutions is hiring a senior full-stack engineer to develop full-stack, reactive web applications for desktop and cloud platforms such as AWS, Azure or GCP.

You will collaborate with UX/UI designers, AI engineers and QA to build AI-enabled features, ensure secure, scalable architectures, and deliver high-quality software across multi-site deployments. 6+ years of experience and strong communication are required.

Qualifications

• Postgraduate / Tertiary qualification in computer science, engineering, information systems or other quantitative / analytical fields.
• More than 6 years of relevant experience in technology development with min. 3 years of experience in delivering large-scale projects with multi-sites deployment and proven track records.
• Hands-on experience with front end languages such as HTML5, CSS and JavaScript and frameworks such as React or Angular.
• Hands-on experience with back-end technologies / framework such as Python, Node, Express and SQL/NoSQL Database.
• Hands-on experience with test automation and CI/CD workflow.
• Hands-on experience with Docker and Kubernetes is preferred.
• Experience with software development practices using Agile SCRUM or Kanban methodology.
• Ability to communicate technical concepts in a clear and effective manner.
• Ability to work effectively with cross-functional teams.
• Having domain knowledge in Homeland Security sector will be an added advantage.

Responsibilities

• Develop full-stack, reactive web applications for deployment on desktop or cloud platforms.
• Collaborate with UX/UI designers to develop responsive front-end user interfaces using HTML, CSS, React.js or equivalent technologies.
• Work with AI Engineers and Software Engineers to develop server-side applications using Python, Node.js or equivalent frameworks.
• Leverage AI-assisted development tools to improve software development productivity, code quality and engineering workflows.
• Apply hands-on experience with Generative AI and Agentic AI to design and implement intelligent application features and workflows.
• Integrate Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI capabilities into applications through APIs and appropriate architecture, enabling secure, scalable and maintainable intelligent features and workflows.
• Work with QA engineers to develop test scripts and ensure the quality and reliability of applications.
• Troubleshoot and resolve technical issues during development and in production.
• Document and communicate full-stack and AI integration designs to technical stakeholders.
• Apply DevOps, CI/CD, automated testing, software design and secure coding best practices.
• Keep abreast of emerging technologies, tools and trends across full-stack development, Generative AI and Agentic AI.
• Work closely with engagement and product managers to develop prototypes and demos for end users.

Skills

Cross-functional collaboration

Communication

Team player

Self-motivated

Problem solving

Education

Postgraduate / Tertiary qualification in CS/Engineering/IS

Tools

JavaScript

HTML5

CSS

React.js

Angular

Python

Node.js

Express

SQL/NoSQL

Docker

Kubernetes

CI/CD

GCP

Microsoft Azure

AWS

Job description

• Develop full-stack, reactive web applications for deployment on desktop or cloud platforms such as AWS, Microsoft Azure or GCP.
• Work with UX/UI designers to develop responsive front-end user interfaces using HTML, CSS, React.js or equivalent technologies.
• Work with AI Engineers and Software Engineers to develop server-side applications using Python, Node.js or equivalent frameworks.
• Leverage AI-assisted development tools to improve software development productivity, code quality and engineering workflows.
• Apply hands-on experience with Generative AI and Agentic AI to design and implement intelligent application features and workflows.
• Integrate Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI capabilities into applications through APIs and appropriate architecture, enabling secure, scalable and maintainable intelligent features and workflows.
• Work with QA engineers to develop test scripts and ensure the quality and reliability of applications.
• Troubleshoot and resolve technical issues during development and in production.
• Document and communicate full-stack and AI integration designs to technical stakeholders.
• Apply DevOps, CI/CD, automated testing, software design and secure coding best practices.
• Keep abreast of emerging technologies, tools and trends across full-stack development, Generative AI and Agentic AI.
• Work closely with engagement and product managers to develop prototypes and demos for end users.

Job Description

• Develop full-stack, reactive web applications for deployment on desktop or cloud platforms such as AWS, Microsoft Azure or GCP.
• Work with UX/UI designers to develop responsive front-end user interfaces using HTML, CSS, React.js or equivalent technologies.
• Work with AI Engineers and Software Engineers to develop server-side applications using Python, Node.js or equivalent frameworks.
• Leverage AI-assisted development tools to improve software development productivity, code quality and engineering workflows.
• Apply hands-on experience with Generative AI and Agentic AI to design and implement intelligent application features and workflows.
• Integrate Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and Agentic AI capabilities into applications through APIs and appropriate architecture, enabling secure, scalable and maintainable intelligent features and workflows.
• Work with QA engineers to develop test scripts and ensure the quality and reliability of applications.
• Troubleshoot and resolve technical issues during development and in production.
• Document and communicate full-stack and AI integration designs to technical stakeholders.
• Apply DevOps, CI/CD, automated testing, software design and secure coding best practices.
• Keep abreast of emerging technologies, tools and trends across full-stack development, Generative AI and Agentic AI.
• Work closely with engagement and product managers to develop prototypes and demos for end users.

Job Requirements

• Postgraduate / Tertiary qualification in computer science, engineering, information systems or other quantitative / analytical fields.
• More than 6 years of relevant experience in technology development with min. 3 years of experience in delivering large-scale projects with multi-sites deployment and proven track records.
• Hands-on experience with front end languages such as HTML5, CSS and JavaScript and frameworks such as React or Angular.
• Hands-on experience with back-end technologies / framework such as Python, Node, Express and SQL/NoSQL Database.
• Hands-on experience with test automation and CI/CD workflow.
• Hands-on experience with Docker and Kubernetes is preferred.
• Experience with software development practices using Agile SCRUM or Kanban methodology.
• Ability to communicate technical concepts in a clear and effective manner.
• Ability to work effectively with cross-functional teams.
• Self-motivated, team player, creative with excellent communication skills, excellent interpersonal skills and ability to work independently.
• Having domain knowledge in Homeland Security sector will be an added advantage.

What We Offer

• Opportunity to work on meaningful public sector digital initiatives.
• A supportive, purpose-driven team culture.
• Structured career development and technical upskilling.
• Access to modern tools, cloud technologies, and secure DevSecOps environments.

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.

Skills

JavaScriptInterpersonal SkillsSoftware DesignGoogle Cloud PlatformBackend Web DevelopmentFront End Web DevelopmentReliabilityMicrosoft AzureEmerging TechnologiesKubernetesContinuous integrationTroubleshootingSQLReactJSScrum MethodologyAmazon Web ServicesNoSQLAutomation TestingCommunicationSoftware DevelopmentQuality ControlTeam PlayerUser InterfacePythonArtificial IntelligenceDomain KnowledgeUser Interface DesignWork IndependentlyBest PracticeTechnical DevelopmentInformation SystemCreativityCross Functional SkillsDevOps OperationsDocker SoftwareKanbanTest ScriptCascading Style SheetHypertext Markup LanguageLarge Language ModelGenerative Artificial IntelligenceWeb ApplicationApplication Programming InterfaceSecure CodingNode.JSAgentic AITrack RecordsSelf MotivationRetrieval Augmented GenerationExcellent Communication SkillsAngular Web FrameworkDeveloper Tools

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