CMC-APAC PRIVATE LIMITED
Full Stack AI Engineer
Visa Source Listed
📍🇸🇬 Singapore📅2h ago
S$60,000—S$78,000/ year
≈ ₹38L — ₹49L per year
Liaising with cross functional teamsGitData IngestionTeamworkDesignGenerative AI Application Development and DeploymentContinuous ImprovementIAMAWSREST APIs developmentFull Stack DevelopmentTechnological ProficiencyDesigning software systemsWorkflow DevelopmentEC2
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Job Description
Who This Role Is For
We are looking for a hands-on Software Engineer with strong AI engineering capabilities who can build production AI systems and work directly with the teams using them.
This role spans full-stack development, LLM applications, evaluation, observability, deployment, and customer-facing technical delivery.
Accessibility experience is not required, but you should be willing to develop expertise in digital accessibility and WCAG standards.
What You Will Do
- Design, develop, and maintain high-quality features and services for product teams, ensuring accessibility and performance.
- Develop full-stack features across frontend, backend, APIs, data, and AI systems.
- Design and build production-grade applied AI-powered applications and developer tools.
- Utilise CI/CD pipelines to ensure seamless, reliable, and high-quality deployments.
- Develop and maintain technical documentation, including API specs, troubleshooting guides, and system architecture diagrams.
- Translate customer feedback and production issues into reusable product improvements.
- Work alongside Product Management to provide L1/L2 support to customers.
- Work directly with teams on discovery, demos, Proof-of-Concepts, architecture discussions, onboarding, integrations, and troubleshooting.
- Gain knowledge debugging and remediating WCAG accessibility issues on production websites.
What We’re Looking For
- Proven experience in designing and building scalable, reliable, and maintainable software systems.
- Strong proficiency in modern software development (e.g., React.js, TypeScript, Node.js) and a deep understanding of browser architecture.
- Build LLM workflows using:RAGTool callingStructured outputsAgentsHuman-in-the-loop patterns
- Build evaluation pipelines using:Golden datasetsRegression testsDeterministic evaluatorsLLM-as-a-judge
- Implement observability, monitoring, guardrails, fallbacks, and validation for reliable AI systems.
- Balance model quality, latency, reliability, maintainability, and cost.
- Maintain automated tests, CI/CD pipelines, and technical documentation.
- Hands-on experience with quality engineering practices, including:Automated testing (unit, integration, E2E)Test automation frameworks
- Solid grasp of CI/CD, infrastructure concepts, and agile engineering practices.
- Strong troubleshooting and debugging skills, with an ability to analyze complex system behaviors and logs.
- Excellent communication skills to explain technical trade-offs and quality standards to diverse stakeholders.
Nice to Haves
- Docker, Infrastructure as Code, and Bash scripting knowledge.
- Passion for building inclusive technology and a willingness to apply or develop expertise in WCAG 2.2 standards and assistive technologies.
- Willingness to learn digital accessibility, including:Digital accessibility regulationsWeb Content Accessibility Guidelines (WCAG) 2.2 Level A and AA requirementsScreen readers such as VoiceOver, NVDA, and TalkBack
- Experience writing code that meets accessibility standards such as the Web Content Accessibility Guidelines (WCAG).
- Candidates with more than 3 years of relevant experience in software engineering may be considered for senior positions.