Senior Full-Stack Engineer - AI Platform & APIs

Alpha Z

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

Alpha Z is hiring a Lead Engineer (Full Stack) for its Singapore office. You will own product engineering end-to-end, from architecture and backend to frontend and infrastructure, and you’ll shape the technology stack to scale effectively.

You will build APIs and backend services that connect the LLM problem-formulation layer with the knowledge library, and you’ll own cloud infrastructure, deployments, monitoring, and security.

Qualifications

  • Bachelor's or Master's in Computer Science, Software Engineering, or a related field.
  • Experience taking a product from early stage to production.
  • Proven track record of building, deploying, and maintaining production systems end to end.
  • Pragmatic judgment about when to ship simply and when to build properly.
  • Ability to explain technical trade-offs clearly to non-technical founders and researchers.

Responsibilities

  • Own product engineering end-to-end, hands-on — architecture, backend, frontend, and infra.
  • Choose tech stack and decisions balancing build-vs-buy and scalability.
  • Build APIs and backend services connecting LLM problem-formulation layer and knowledge library.
  • Build interfaces where users review and verify the platform's reasoning.
  • Own cloud infrastructure, deployments, monitoring, and uptime; ensure data security.
  • Establish engineering standards for testing, code review, CI/CD, and development practices.
  • Collaborate with founders and AI researchers to shape the roadmap.

Skills

Python
Node.js
Go
RESTful API design
LLM integration

Education

Bachelor's or Master's in CS/SE

Tools

AWS
GCP
Azure

Job description

Alpha Z is hiring a Lead Engineer (Full Stack) for its Singapore office. You will own product engineering end-to-end, from architecture and backend to frontend and infrastructure, and you’ll shape the technology stack to scale effectively.

You will build APIs and backend services that connect the LLM problem-formulation layer with the knowledge library, and you’ll own cloud infrastructure, deployments, monitoring, and security.

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