Total 49 Internship construction engineer job vacancies in Singapore

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

We are looking for interns to be placed in our company.

• In charge in documentation filing and data entry
• In charge in issue letter
• Handle general administrative tasks
• Assist Procurement team in various procurement activities within the organization

Perks & Benefits

• Central location
• Casual dress code
• Personal leave

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!

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.

[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.

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

Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.

We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology. 

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view

Your internship would revolve around bringing our robot to market. You may be remunerated with a combination of salary and share options. It is possible to combine this with our technical internships for a more “hybrid” role. This internship requires a reasonable amount of technical understanding/engineering interest. 

Especially if you are part-time, you are not expected to handle all (or even most) of the items below. However, a reasonable subset of what is listed below is required, and any combination of what’s listed below based on your interest and strengths can be discussed. 

1. Assisting with the recruitment process, including posting job openings, reviewing resumes, and conducting initial candidate screenings.

2. Coordinating and scheduling interviews with job applicants and hiring managers.

3. Assisting in onboarding new employees, including paperwork and orientation.

4. Maintaining and updating employee records and databases.

5. Assisting with HR-related communications, such as preparing HR documents and announcements.

6. Supporting HR team with various administrative tasks.

7. Assisting in the development and implementation of HR policies and procedures.

8. Conducting research on HR trends and best practices.

9. Assisting in organizing HR-related training and development programs.

10. Participating in special HR projects and initiatives as assigned.

11. Scheduling and joining meetings with prospective clients, investors, and partners

12. Market research for expansion overseas

13. Accounting and purchasing

14. Scouting for new opportunities, writing proposals for them, and pushing fabrica out there

15. Visiting industry trial sites, giving appropriate feedback to product development team 

16. Speaking to industry players, ground workers, understanding the process of tile grouting to help us shape our solution, especially from an operational point of view

17. Connecting manufacturers and our product team to build and iterate on our prototype, creating new avenues for manufacturing at scale, manufacturing for reliability

18. Website and other marketing/public relations management

19. Any other operational duties 

A great candidate would possess the following:

• Value the direct impact on the product and proximity to clients at a startup and the growth potential of a startup

• Willing to work without a very well defined job scope and willing to adapt to changes week on week

• Ability to think of metrics to measure progress and deciding based on back of the envelope calculations

• Keenness to do more than is expected, impact driven

• Growth mindset driven 

Our development process is very iterative and agile. Thus, there would not be a concrete plan more than 2 weeks ahead and your role/tasks is/are likely to evolve over time. Besides, a lot of testing has to be done on a construction site.  If you like this process, you’d be a good fit for us. You would thus play a significant part in deciding how your work would contribute to our overall goals. Please email your resume to careers@fabrica.ai and cc keefe@fabrica.ai if you are interested. Thank you!

Availability: Applications are on a rolling basis and open year-round, subject to availability. 

Commitment: June onwards, full-time or part-time (flexi hours), minimum of 3 months

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.

Job Summary

You will support construction and engineering projects by visiting sites to assist with project tasks and gain practical industry experience.

Responsibilities

• Visit construction sites to observe and assist with ongoing engineering and construction activities
• Communicate effectively with site personnel to gather information and report observations
• Follow safety protocols while on-site to maintain a safe working environment
• Support project teams by providing timely updates and documentation from site visits

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

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

LAI Games is an arcade experience company that connects people with games. Our vision is to reinvent the arcade industry by creating an arcade experience ecosystem that consists of physical arcade games and location-based VR games and experiences, and other exciting arcade-based titles. Our team members contribute across a broad range of unique and innovative projects that connect, engage, and excite players across physical and virtual worlds. 

Position Summary

LAI games is growing, and we want to expand our support to our customers by offering remote software management of our games, and we want to provide our customers with comprehensive use-data of our games. 

We want to expand our software team for this, and we’re looking for an experienced software engineering manager to realize this ambition.  

Key Responsibilities

As a Fullstack Software Engineering Intern, you'll work alongside experienced engineers to develop enterprise-grade software while building practical skills in modern web development and system integration.

• Learn and contribute – Write clean, maintainable code under mentorship, following established best practices and team standards 
• Take ownership of features – Own the features that you develop, with guidance from senior engineers
• Participate in architecture discussions, ensuring scalability, maintainability and performance.
• Collaborate with cross-functional teams including frontend engineers, product managers, QAs and other engineers to deliver high-impact features 
• Collaborate with teams – Work with frontend engineers, product managers, QAs and other engineers to understand the full software development lifecycle
• Document your work - Maintain clear documentation of code, processes, and technical decisions
• Review and interpret third-party API/SDK documentation, creating POCs and reference implementations

Required Skills and Experience

The ideal candidate would have:

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, Software Engineering, or a related field
• Basic programming fundamentals - Understanding of data structures, algorithms, and object-oriented programming
• Exposure to Python - Academic or personal project experience with Python (Flask/FastAPI exposure is a plus)
• Frontend fundamentals - Working knowledge of HTML5, CSS3, and JavaScript; any experience with React or similar frameworks is beneficial
• Database basics - Understanding of relational databases (MySQL, Postgres) and basic SQL queries
• Problem-solving mindset - Ability to break down problems, ask good questions, and work through challenges with support
• Communication skills - Ability to articulate technical concepts and ask for help when needed
• Team player - Willingness to learn, accept feedback, and collaborate effectively 

Additional Attributes: 

• Personal or academic projects demonstrating full-stack development
• Familiarity with Git/version control 

What You'll Learn: 

• Production-level software development practices
• API design and integration patterns
• Working with enterprise-grade codebases
• Collaborating in cross-functional teams
• Modern development tools and workflows