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    • Eligibility: Undergraduate students currently in their 2nd or 3rd year (Sophomore or Junior).
    • You will partner directly with business stakeholders, take…
    • View all SIGNALPLUS SG PTE. LTD. jobs - Singapore jobs - Software Engineer Intern jobs in Singapore
    • Salary Search: Software Engineering Intern salaries in Singapore
    • Software Developer (Part-Time or Intern).
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    • Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation.
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    • Leverage data science techniques to improve customer insights in the InspectionTech space.
    • Conduct data analysis and validation work through the use of SQL and Python.
    • Automate data collection, aggregation processes to build reporting dashboards.
    • The intern will explore how data-driven methods are used to identify patterns, detect anomalies, and develop predictive insights that enhance understanding of…
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    • As part of this internship, you will contribute directly to Project Day 1 and Day 2, focusing on building AI agents to improve workflows and developing…
    • You will work on real product features across the frontend and backend, helping us build,.
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    • Participate in a team-oriented environment to plan, design and develop web-based applications.
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    • Competitive intern stipend, in-office meals, and access to the latest AI tools.
    • Immediate Start, For At Least 6 Months.
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    • We need an intern who treats client data, MNPI, and internal information with the same care a full-time hire would.
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Job Post Details

Software Engineering Intern - job post

SIGNALPLUS SG PTE. LTD.
Singapore•Remote
$1,500 - $5,000 a month - Part-time
You must create an Indeed account before continuing to the company website to apply

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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