Assistant AI & Backend Engineer (Hybrid)

CLIPLY PTE. LTD.; Singapore; Hybrid; SGD 60,000 - 90,000; Full time

Job summary

Cliply is hiring an Assistant Software Engineer to grow across backend engineering, AI integration, and platform operations from its hybrid Singapore base.

You will work with AI, platform and product engineers to build systems that make AI capabilities usable, testable and reliable. This role bridges models, services, data and product workflows while learning from experienced engineers across disciplines.

Qualifications

• Good knowledge of Python and software development.
• Experience building meaningful personal, academic or professional software projects.
• Understanding of REST APIs and JSON.
• Working knowledge of SQL and relational databases.
• Familiarity with Git and Linux.
• Ability to debug issues systematically.
• Strong curiosity and willingness to learn unfamiliar technologies.
• Good written and verbal communication skills.

Responsibilities

• Integrate AI services into backend workflows.
• Validate AI outputs against expected results.
• Build scripts and tools for evaluation and testing.
• Maintain datasets used to assess model quality.
• Support retrieval and search workflows.
• Investigate incorrect or unexpected AI outputs.
• Develop and maintain media-processing jobs.
• Support subtitle, transcript and metadata pipelines.
• Process and validate structured AI outputs.
• Assist with data preparation and annotation workflows.
• Build automation around ingestion and content processing.
• Support deployment and monitoring workflows.
• Maintain development environments and internal tools.
• Assist with CI/CD automation.
• Help improve observability and operational dashboards.
• Support troubleshooting and production investigations.

Skills

Python

REST APIs

JSON

SQL

Git

Linux

Debugging

Communication

Curiosity

Learning

Tools

Docker

PostgreSQL

FastAPI

Flask

Job description

Cliply is hiring an Assistant Software Engineer to grow across backend engineering, AI integration, and platform operations from its hybrid Singapore base.

You will work with AI, platform and product engineers to build systems that make AI capabilities usable, testable and reliable. This role bridges models, services, data and product workflows while learning from experienced engineers across disciplines.