AI Engineer

ScienTec Consulting Pte. Ltd.

Singapore

Hybrid

SGD 112,000 - 134,000

Full time

4 days ago
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Job summary

ScienTec Consulting Pte. Ltd. is seeking an experienced backend engineer in Singapore to design, build, and maintain scalable Python-based services and RESTful APIs.

You will own feature development end-to-end, integrate with internal and external systems, and advance AI-enabled backend capabilities for document ingestion and knowledge processing. The role requires 4+ years of production backend experience, proficiency in FastAPI or Flask, and strong database skills (Redis, MongoDB, PostgreSQL).

Qualifications

  • A minimum of 4 years of backend software engineering experience in production.
  • Strong Python backend development with FastAPI or Flask.
  • Familiarity with Azure cloud services and RESTful APIs.
  • Experience with both relational and non-relational databases.
  • Hands-on with CI/CD and version control (GitHub/GitLab).
  • Excellent communication across product, engineering and UX teams.

Responsibilities

  • Design, build, and maintain scalable backend services and RESTful APIs in Python.
  • Own backend feature development end-to-end from design to production support.
  • Integrate with internal platforms, external systems, and third-party services.
  • Develop AI-powered backend capabilities for document ingestion and retrieval.
  • Build data processing pipelines and ensure reliable information retrieval.
  • Work with Redis, MongoDB, and PostgreSQL for performance and scalability.
  • Debug, resolve production issues, and improve observability and reliability.
  • Collaborate with product managers, engineers, and UX teams; participate in code reviews.

Skills

Python backend
FastAPI/Flask
Azure
RESTful API design
OAuth 2.0
Redis
MongoDB
PostgreSQL
CI/CD
GitHub
GitLab
Production troubleshooting
Communication

Tools

GitHub
GitLab
CI/CD pipelines

Job description

Working Hours: Monday - Thursday (8.30am - 6pm), Friday (8.30am - 5.30pm) (Hybrid working arrangement)

Working Location:Central

Salary Package: Up to $11,000 + AWS

Employment Type: Full Time Contract (1 year renewable with chances of conversion)

Responsibilities:
  • Design, build, and maintain scalable backend services and RESTful APIs using Python.
  • Own backend feature development end-to-end, from technical design through implementation, testing, deployment, and production support.
  • Build and maintain integrations with internal platforms, external systems, and third-party services.
  • Develop and enhance AI-powered backend capabilities, including document ingestion, retrieval, and knowledge processing services.
  • Design and maintain data processing pipelines to support reliable and efficient information retrieval.
  • Work with relational and non-relational databases to support performant, scalable, and resilient backend systems.
  • Debug and resolve production issues, contributing to system reliability, observability, and operational excellence.
  • Collaborate closely with product managers, software engineers and partner teams to deliver high-quality backend solutions.
  • Participate in code reviews and uphold engineering best practices across testing, CI/CD, security, and maintainability.
  • Contribute to the continuous improvement of the platform's architecture, performance, and developer experience.
Requirements:
  • Minimum 4 years of backend software engineering experience in a production environment
  • Proficiency in backend development with Python, including web frameworks such as FastAPI or Flask
  • Familiarity with cloud platforms, particularly Azure
  • Experience with RESTful API design, third-party API integration, and OAuth 2.0 / token-based authentication flows
  • Experience with relational and non-relational databases (e.g. Redis, MongoDB, PostgreSQL)
  • Familiarity with operational support, and production troubleshooting
  • Experience with CI/CD pipeline and version control workflows (Gitlab or GitHub, or equivalent)
  • Effective communication skills and comfortable working across product, engineering and UX functions
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