Job Summary

Support the engineering team in developing, testing, and maintaining software applications. This internship offers hands-on experience in real-world projects, exposure to modern technologies, and an opportunity to build a strong foundation in software development.

Key Responsibilities

• Write high-quality, clean, and maintainable code under guidance, and participate in code reviews to follow best practices
• Collaborate with product managers, QA teams, and developers to ensure timely delivery of high-quality projects
• Assist in the design, development, and deployment of software systems, including distributed systems and microservices architecture
• Support debugging, troubleshooting, and resolving technical issues
• Participate in system testing, documentation, and improvement of existing applications
• Continuously learn and explore new technologies to enhance development efficiency

Requirements

• Currently pursuing a Diploma or Bachelor’s degree in Computer Science, Software Engineering, IT, or related fields
• Basic knowledge of programming concepts and software development lifecycle
• Familiarity with JavaScript and SQL
• Good problem-solving and analytical skills
• Willingness to learn, proactive attitude, and strong sense of responsibility
• Ability to work both independently and in a team environment

Preferred Qualifications

• Basic knowledge of web development (HTML, CSS, JavaScript) 
• Familiarity with version control tools such as Git 
• Exposure to frameworks or backend development is an advantage

Benefits

· Training, mentorship, and career development opportunities 

· Friendly and collaborative working environment

Job Summary

Support the engineering team in developing, testing, and maintaining software applications. This internship offers hands-on experience in real-world projects, exposure to modern technologies, and an opportunity to build a strong foundation in software development.

Key Responsibilities

• Write high-quality, clean, and maintainable code under guidance, and participate in code reviews to follow best practices
• Collaborate with product managers, QA teams, and developers to ensure timely delivery of high-quality projects
• Assist in the design, development, and deployment of software systems, including distributed systems and microservices architecture
• Support debugging, troubleshooting, and resolving technical issues
• Participate in system testing, documentation, and improvement of existing applications
• Continuously learn and explore new technologies to enhance development efficiency

Requirements

• Currently pursuing a Diploma or Bachelor’s degree in Computer Science, Software Engineering, IT, or related fields
• Basic knowledge of programming concepts and software development lifecycle
• Familiarity with JavaScript and SQL
• Good problem-solving and analytical skills
• Willingness to learn, proactive attitude, and strong sense of responsibility
• Ability to work both independently and in a team environment

Preferred Qualifications

• Basic knowledge of web development (HTML, CSS, JavaScript) 
• Familiarity with version control tools such as Git 
• Exposure to frameworks or backend development is an advantage

Benefits

· Training, mentorship, and career development opportunities

· Friendly and collaborative working environment

Support engineers with basic technical tasks.

Help with testing, maintenance, and data collection.

Prepare simple reports and assist in troubleshooting.

Learn and use engineering tools under supervision

Related course : Mechanical, Mechatronics, Petrochemical engineering

Perks & Benefits

• Personal leave

為工程師提供基礎技術支援。

協助進行測試、維護和資料收集。

準備簡單的報告並協助故障排除。

在指導下學習並使用工程工具

相關課程：機械工程、機電一體化工程、石油化工工程

福利待遇

• 個人休假

About the Role

We’re seeking a motivated Project Engineer Intern to join our team and gain hands-on experience in engineering project management. This internship offers the opportunity to work on real projects, collaborate with experienced engineers, and develop practical skills that will set you apart in your career.

What You’ll Do

• Assist in planning, coordinating, and executing engineering projects
• Support project documentation, reporting, and scheduling
• Collaborate with cross-functional teams to ensure project milestones are met
• Contribute to problem-solving and process improvement initiatives
• Gain exposure to industry tools, standards, and best practices

What We’re Looking For

• Currently pursuing a degree in Engineering (Mechanical, Civil, Electrical, or related field)
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Detail-oriented with good organizational skills
• Eagerness to learn and contribute in a fast-paced environment
• Candidates who are available from Jun/July onwards, with a minimum internship period of 4 months and above.

Send your resume and application by applying to this job posting (Or send your resume and interest to Internship@dteam.sg) for our follow up!

About Lighthouse Canton

Founded in 2014, Lighthouse Canton is a Singapore-headquartered global investment management firm with approximately US$ 5+ billion in Assets Under Management (AUM). Lighthouse Canton is one of the leading and award-winning investment firms in the region, focusing on managing funds with uncorrelated investment strategies, providing investors with the opportunity to achieve consistent returns across market cycles. Lighthouse Canton has offices in Singapore, Dubai, India, and the UK.

Job Purpose

We are offering an AI Engineering Internship designed as a structured, mentored introduction to building production-grade AI systems inside a regulated wealth management firm. You will sit inside our small AI Lab and work alongside experienced engineers on real internal applications across Investment, Relationship Management, Risk, Operations, and Compliance - not toy projects, and not coffee runs.

What You Will Do

Building & Supporting AI Applications

• Pair with senior engineers on AI-powered internal applications using LLMs, RAG pipelines, and agents. Expect to start by reading code and small fixes, and ramp up to owning well-scoped features under guidance.
• Help build and tune retrieval systems: chunking strategies, embeddings, vector search, and basic re-ranking.
• Practise prompt engineering and context engineering—structuring inputs, managing memory, and compacting context - to keep agents coherent across multi-step tasks.
• Help wire internal knowledge bases, market data feeds, and operational systems into agents via Model Context Protocol (MCP) servers and other typed-tool interfaces.

Agent Harness & Evaluation

• Get hands-on with the agent harness - the runtime layer around the LLM that manages execution loops, tool calls, state, memory, and error handling. You will be expected to learn the vocabulary (ReAct, planner/executor, guardrails, permission gates, loop budgets) and apply it in real code.
• Help build evaluation harnesses: writing test cases, regression suites, deterministic checks (schema validation, citation checks),and simple LLM-as-judge graders—so we can tell whether changes actually improve quality.
• Instrument agents with basic observability: tracing tool calls, logging token usage, latency, and outcomes; help triage failure traces and feed lessons back into prompts and tool specs.
• Contribute to internal documentation on harness patterns, evals, and lessons learned - useful both to the team and to your own learning.

Collaboration & Knowledge Sharing

• Partner with stakeholders in Investment, Relationship Management, Risk, Operations, and Compliance to understand requirements—always alongside a senior team member.
• Take part in code reviews, design discussions, and weekly team check-ins. Asking questions is part of the job, not a sign of weakness.
• Present a short end-of-internship readout summarising what you built, what you learned, and what you would do differently.

What We Are Looking For

Technical Foundations

• Programming: Comfortable in Python from coursework, personal projects, or prior internships. Any exposure to JavaScript/TypeScript, Git, and the command line is a plus.
• AI/ML Curiosity: Has built at least one small project involving LLMs (e.g., via OpenAI, Anthropic, or open-source models) - a chatbot, a RAG demo, a hackathon project, a tinkering side project, an agent that does something silly. Quality of curiosity matters more than scale.
• Agentic AI Awareness: Familiar at a conceptual level with agent frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK) and modern terms like MCP, RAG, evals, and guardrails. We do not expect mastery - we expect that you have read about them and want to go deeper.
• AI-Assisted Development: Comfortable using coding assistants such as Claude Code, Codex, or GitHub Copilot as part of how you build - and aware that they need supervision, tests, and clear specs to produce reliable code.
• Data & Web Basics: Light exposure to databases (SQL, or any NoSQL store), and to web/API basics (HTTP, JSON, a back-end framework such as FastAPI or Flask) is helpful but not required.

Mindset & Soft Skills

• Genuine curiosity about AI, finance, and the messy intersection of the two. You should be excited to learn how a wealth management firm actually works.
• Comfort with ambiguity: real projects rarely arrive with neat specs. We will help you scope them, but we want someone willing to sit with uncertainty.
• Communication: able to explain technical ideas in plain English (and in writing), and to flag blockers early rather than getting stuck quietly.
• Integrity: this is a regulated environment. We need an intern who treats client data, MNPI, and internal information with the same care a full-time hire would.

Education

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Quantitative Finance, or a related field—or a recent graduate within 12 months.
• No prior professional experience required. Strong coursework, personal projects, open-source contributions, hackathon work, or research projects are all valid signals.
• Penultimate-year and final-year students are encouraged to apply.

Company Overview

Founded in 2001, Aurigin designs and delivers smart automation equipment and solutions for semiconductor and electrical manufacturing. Our flagship BGA ball mount systems are installed globally, enabling production of advanced semiconductor devices powering everyday life and future technologies.

Job Summary

We seek innovative, problem-solving individuals passionate about cutting-edge technology to join our semiconductor equipment company. You will contribute to building, tuning, and testing high-precision machines before global shipment.

Responsibilities

• Assemble mechanical and pneumatic parts, modules, and machines to meet precise operational standards
• Perform mechanical assembly, inspection, and functional testing of conversion kits to ensure quality and reliability
• Set up, debug, and test automation machines to verify performance and troubleshoot issues
• Analyze mechanical designs and provide actionable feedback and recommendations to improve product functionality and manufacturability
• Create detailed design documentation for mechanical parts and modules to support manufacturing and maintenance processes

Suitable candidates will be considered for permanent positions.

Job Overview

Reporting to the Senior Finance Executive, the Accounts Intern is to provide support in all aspects of the accounting function of the company.

Core responsibilities:

• Support in year-end and monthly closing, reconciliation, preparation of financial statements, GST reporting, cash flow and year-end audit.
• Help to handle data entry of accounts payable and receivable functions.
• Prepare schedules for external auditors during year-end audit, support Supervisor in suppliers and customers on billing and payment matters.
• Assist in dataentry for indirect procurement and preparing purchase orders.
• Assist in observing and verifying inventory count and reconciliation.
• Support and make active contributions to productivity and efficiency improvement initiatives across all departments (as and when required).
• Any other duties as and when assigned by Supervisor and Finance Manager

Job specifications:     

• Currently pursuing Diploma in Accounting and/or Finance.
• Proficient in Microsoft Office and computer skills.
• Meticulous in handling sensitive information, highly organized and efficient.
• Proactive, strong sense of accountability.
• Motivated to take on new challenges with strong desire to learn more about accounting and finance in an operational environment.

Period of Internship: August 2026 to February 2027

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

If you are currently pursuing a Degree in Chemical Engineering or Environmental Engineering and looking for 6-months internship, COME APPLY WITH US!

• Fortune 500 US MNC Company into Chemical Manufacturing Industries
• Gul Circle (Transport provided at CCK, JE, Boon Lay, Outram)
• Monday - Friday; 8:15AM to 5PM

Job Responsibilities

• Support the design and setup of cooling tower water treatment systems, focusing on energy efficiency and water savings to help clients achieve their sustainability goals
• Assist in managing water treatment projects to ensure delivery within timeline and budget
• Develop and enhance training materials for water treatment analyzers to improve internal team understanding of system functionality
• Collaborate with cross-functional teams to support project execution and technical documentation

Role Requirements

• Basic understanding of water chemistry is an advantage
• Proficient in AutoCAD or willing to learn
• Strong communication skills and willingness to learn in a technical environment

If you are keen toexplore this career opportunity, kindly send a copy of your resumeto rrkc@rapidrecruitmentasia.com or simply click the button to APPLYNOW! We regret that only shortlisted applicants will be notified.

Chan Ku Ci -R22111446
EA License No:16C8261

Job Summary

Provide administrative support to the Directors by managing contact information and performing general administrative tasks to ensure smooth office operations.

Responsibilities

• Organize and maintain Directors’ namecards to ensure an accurate and accessible contact database
• Perform general administrative duties to support the Director’s daily operations
• Assist with ad-hoc administrative tasks as assigned

Requirements

• Minimum Diploma qualification or equivalent
• Good organisational and administrative skills
• Able to work independently and manage tasks efficiently
• Able to commit to a 2-month contract

Work Arrangement

• Flexible working hours and work-from-home arrangement
  

[2026 Internship] Software Engineer Intern

Duration: Full-time Internship (6-month period)

At Codex Solutions, we’re on a mission to explore what’s next in AI — building smart systems that automate, enhance, and inspire.

As a Software Engineer, you’ll be part of a hands-on team experimenting with AI technologies while applying core software engineering fundamentals to design, build, and test real systems. You’ll work at the intersection of software development and applied AI, learning how modern AI capabilities are engineered into reliable, maintainable applications.

You’ll get to explore, prototype, and implement AI-driven solutions that streamline work, amplify human capability, and bring real value to the organisation. If you enjoy writing code, breaking problems down into logical components, and turning ideas into working software, this internship is for you.

Why This Matters

AI is changing how organisations operate — automating routine tasks, enabling smarter decisions, and freeing people to focus on what truly matters.

This internship gives you the opportunity to apply software engineering principles to AI-enabled systems, designing and building tools that support corporate automation while learning how real-world software is developed, tested, and improved over time.

What To Expect:

1. Design, develop, and prototype software applications that incorporate AI technologies such as Generative AI, Agentic AI, and automation frameworks, with a focus on corporate process automation.

2. Build and test intelligent systems such as AI-powered software components such as assistants, workflow bots, APIs, and automation services to improve internal operations.

3. Collaborate with cross-functional teams to identify high-impact business areas where AI can drive efficiency and innovation.

4. Develop and refine AI-enabled workflows, including prompt design, LLM integration, and retrieval augmented generation (RAG) pipelines.

5. Support the full lifecycle of end-to-end software and AI implementation from ideation and proof-of-concept to testing, deployment, and continuous improvement.

6. Stay curious about emerging AI and software development trends, sharing insights and experimental findings with the wider team.

Requirements

During the internship, you will get to learn and experience:

• How to apply software engineering fundamentals (modular design, basic architecture thinking, debugging, and testing) when building AI-enabled systems.
• Hands-on experience experimenting with different AI models, APIs, and frameworks, and integrating them into working software applications.
• The fundamentals of Generative AI and Agentic AI, and how they can be applied to solve real business challenges.
• Practical skills in coding, API integration, AI prototyping, and prompt engineering, with exposure to how AI systems fit into existing applications and workflows.
• An introduction to responsible, secure, and ethical AI development, including awareness of data handling and system limitations.

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll bridge the gap between AI research and application, translating innovative concepts into tangible, impactful features.

Key Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.

• Conduct research and rapid prototyping of the most suitable AI algorithms and techniques based on best practices, particularly those involving LLMs to address technical and business requirements.

• Write clean, well-tested, and well-documented code, contributing to efficient and maintainable system components.

• Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.

• You are a team player that enjoys collaborating and communicating with diverse groups.

• You enjoy tackling large challenges and enjoy discovering problems as much as solving them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic environment.

• Able to commit to a 6 months full time internship duration.

• This is a full work-from-office (WFO) internship.

Skills You’ll Need to Bring:

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).

• You have experience in agentic frameworks (e.g., ADK, LangChain) for building LLM-powered applications.

• You have strong technical skills in Python.

• You are adept at optimizing, refactoring, and improving Python code, ensuring our systems are efficient, scalable, and maintainable

Nice to Haves:

• Hands-on experience with cloud platforms (GCP).

• Demonstrated interest in advanced AI topics such as Reinforcement Learning (RL).

• Familiarity with processing multi-modal data (audio and video).

• Familiarity with Agile development methodology and collaboration tools (e.g., JIRA) for task management and sprint planning.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

1. Providing technical support of Bosch Rexroth IoT Solutions.
2. Analyzing the gap of technical requirement from customer.
3. Working closely with international team for troubleshooting and technical support activity.
4. Working hands-on with Bosch Rexroth IoT kit to develop Industry 4.0 PoC Project.
5. Working collaboratively with the team for marketing and media activity.
6. Providing Technical training and assistance of Bosch Rexroth IoT Solution and project