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    • Work directly with business stakeholders to translate requirements into software solutions.
    • How to work effectively at the intersection of business and…
    • View all SIGNALPLUS SG PTE. LTD. jobs - Singapore jobs - Software Engineer Intern jobs in Singapore
    • Salary Search: Software Engineering Intern salaries in Singapore
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    • Currently enrolled in a computer science, software engineering, or related degree program.
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    • Flexible Start, For At Least 3 Months.
    • Integrity - We maintain the highest ethical standards in all our operations, ensuring data privacy, security, and…
    • Interest in automation and data engineering.
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    • Familiarity with APIs, scripting, and basic software development practices.
    • Develop proof-of-concept solutions to validate new product ideas or technical…
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    • Research and define the architecture for a unified platform supporting SAST, SCA, and SSO integration.
    • Involve in development of a SAST integration module to…
    • Basic understanding of software development concepts and methodologies.
    • The intern will contribute to meaningful digital transformation initiatives by…
    • Research and define the architecture for a unified platform supporting SAST, SCA, and SSO integration.
    • Involve in development of a SAST integration module to…
    • Support software design, development, and performance profiling.
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    • Basic understanding of software development concepts and methodologies.
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Job Post Details

Software Engineering Intern - job post

SIGNALPLUS SG PTE. LTD.
SingaporeRemote
$1,500 - $5,000 a month - Part-time
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Job details

Pay

  • $1,500 - $5,000 a month

Job type

  • Part-time

Benefits

Pulled from the full job description

  • Work from home

Full job description

Type: Internship
Location: Singapore Remote-friendly
Eligibility: Undergraduate students currently in their 2nd or 3rd year (Sophomore or Junior)

About the Role

We build AI-native software products designed to solve real business problems.

This is not a traditional internship where you work on isolated tasks. You will partner directly with business stakeholders, take ownership of projects from idea to delivery, and help build practical AI-powered tools and workflows used by real users.

We are looking for builders — people who enjoy turning ideas into working products and are excited about applying AI to real-world challenges.

What You’ll Do

  • Own projects end-to-end: scope, build, test, iterate, and ship
  • Work directly with business stakeholders to translate requirements into software solutions
  • Design and implement AI-powered workflows, tools, and automations
  • Build and integrate applications using LLMs, APIs, agents, and AI frameworks
  • Evaluate prompts, models, and AI outputs to improve reliability and usability
  • Document solutions and continuously improve them based on feedback

Requirements

  • Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field
  • Undergraduate student in Year 2 or Year 3 (Sophomore or Junior preferred)
  • Strong Python programming skills
  • Experience building or experimenting with LLM-based applications, AI agents, RAG systems, automations, or AI workflows
  • Able to work independently and drive tasks to completion with limited supervision
  • Strong problem-solving ability and willingness to learn quickly
  • Good written and verbal English communication skills

Nice to Have

  • Experience shipping personal projects, hackathon projects, or open-source contributions
  • Familiarity with Git, GitHub, and modern software development workflows
  • Experience with AI tools and frameworks such as OpenAI APIs, Claude, LangChain, CrewAI, AutoGen, or similar
  • Exposure to cloud platforms and deployment tools
  • Interest in finance, operations, SaaS, or business automation

What You’ll Learn

  • End-to-end project ownership: from requirements to deployment
  • Practical AI engineering: tool selection, prompt design, evaluation, and iteration
  • How to work effectively at the intersection of business and engineering
  • Building and shipping AI-powered software in a production context
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