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Open nowPosted yesterday

G63 - Full Stack Engineer

MyCareersFuture96,520 open roles

Pay
SGD 6,000 – SGD 9,000 a month
Where
Central, Singapore
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Your applicationOpen nowG63 - Full Stack EngineerMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

Responsibilities

  • Lead the end-to-end technical implementation and delivery of Litmus & Sentinel, serving as a subject matter expert in full-stack architecture while ensuring the responsible and ethical use of AI technologies.
  • Drive technical discussions and integration efforts with cross-functional teams to successfully integrate Litmus & Sentinel into products and platforms.
  • Take ownership of deployment pipelines, ensuring high system availability, scalability, and seamless integration.
  • Design and implement scalable, resilient, and high-performing frontend and backend architectures using modern technologies and engineering best practices.
  • Establish and uphold high engineering standards through code reviews, performance optimization, and mentorship of engineering team members.
  • Translate complex technical and ethical requirements from product managers, data scientists, and stakeholders into actionable technical roadmaps and robust solutions.
  • Research and apply industry trends, AI ethics, and governance best practices to drive architectural improvements and strategic enhancements for AI guardrail products.

Qualifications

Technical Requirements

  • Minimum 3 years of hands-on experience as a Full-Stack Software Engineer, building and maintaining scalable, production-grade applications.
  • Strong expertise in developing responsive, dashboard-style frontends using modern frameworks such as Next.js (TypeScript).
  • Strong experience designing and building scalable backend APIs using frameworks such as NestJS (TypeScript) and FastAPI (Python).
  • Proficiency in cloud-native application development, preferably on AWS.
  • Experience with CI/CD pipelines, containerization technologies (e.g., Docker, Kubernetes), and deployment/monitoring practices.
  • Experience building applications leveraging Generative AI or Large Language Models (LLMs) is a strong advantage.

Professional Attributes

  • Proven ability to write clean, efficient, maintainable, and well-tested code to solve complex engineering challenges.
  • Strong critical thinking and problem-solving skills, with the ability to anticipate edge cases and design fault-tolerant systems.
  • Excellent communication and leadership skills, with the ability to explain architectural decisions and provide technical guidance across teams.
  • Experience using AI-assisted development tools to improve engineering productivity and workflows.

Cultural & Mission Alignment

  • Strong interest in data science, artificial intelligence, and machine learning, particularly in the areas of AI ethics and governance.
  • Proactive and ownership-driven mindset with the ability to independently drive projects to completion.
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