Total 4,706 Engineering job vacancies

Job Summary

We are seeking a motivated and detail-oriented IT Engineer to support our IT infrastructure and assist with day-to-day technical operations. Candidate is expected to have hands-on experience in systems, networks, and user support.

Key Responsibilities

• Provide first-line technical support to users (hardware, software, and network issues)
• Install, configure, and maintain computer systems, printers, and peripherals
• Assist in setting up and maintaining networks (LAN/Wi-Fi)
• Monitor system performance and troubleshoot basic issues
• Support software installations, updates, and patches
• Maintain IT documentation and inventory records
• Assist senior IT staff with projects and system upgrades
• Follow IT security policies and report potential risks

Required Skills & Qualifications

• Experience in computer hardware and operating systems (Windows, macOS, or Linux)
• Familiarity with networking fundamentals (IP addresses, routers, switches)
• Knowledge in software applications and troubleshooting
• Good problem-solving and communication skills
• Ability to work independently and as part of a team
• Willingness to learn new technologies

Role Overview

The Presales Consultant acts as a trusted advisor to prospective customers by understanding business challenges, designing solution approaches, conducting product demonstrations, responding to RFPs/RFIs, and supporting the sales team throughout the sales cycle. The role bridges business requirements and technical capabilities to help customers achieve their digital transformation objectives.

Key Responsibilities

Business Discovery & Consulting

• Engage customers to understand business objectives, pain points, and transformation initiatives.
• Conduct workshops, requirement-gathering sessions, and solution discovery meetings.
• Analyze existing business processes and identify improvement opportunities.
• Map customer requirements to product capabilities and solution offerings.

Solution Design

• Develop solution architectures and business use cases.
• Create solution proposals, presentations, and value propositions.
• Design end-to-end workflows and digital transformation roadmaps.
• Recommend best practices and implementation approaches.

Product Demonstrations

• Prepare and deliver customized product demonstrations.
• Build proof-of-concepts (POCs) and prototypes.
• Showcase business outcomes and ROI to stakeholders.
• Address technical and functional queries during evaluations.

Sales Support

• Partner with Account Managers and Sales teams on strategic opportunities.
• Participate in customer meetings and executive presentations.
• Support opportunity qualification and deal strategy.
• Assist in commercial discussions by explaining solution value.

RFP/RFI Management

• Lead responses to RFPs, RFIs, and RFQs.
• Coordinate inputs from product, technical, and delivery teams.
• Ensure proposal quality, compliance, and timely submission.

Market & Industry Expertise

• Stay updated on industry trends, competitors, and emerging technologies.
• Develop industry-specific solution offerings.
• Contribute to thought leadership and customer events.

Required Qualifications

Education

• Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or related discipline.
• MBA or equivalent

Experience

• 3 - 5 years of experience in Presales, Business Consulting, Solution Consulting, or Digital Transformation.
• Experience in Banking, Financial Services, Insurance, Government, or Enterprise Software solutions.
• Proven experience supporting complex enterprise sales cycles.

Responsibilities:

• Provide input and assist engineering design and knowledge to ensure that the safest and most cost-effective methods are used for transportation and lifting heavy equipment.
• Facilitate site operations by traveling to sites and revising plans to meet the demands of site conditions or problems that have been encountered.
• Preparation of required documents (Method Statements), technical drawings and Technical Proposals
• Perform feasibility studies for inland transportation, sea and river transportation
• Installation works - Jacking & skidding, lifting operations

Requirements:

• Only open to Singaporean and permanent resident to apply.
• Candidates should hold an Advanced/Higher/Graduate Diploma, Bachelor’s Degree, Post Graduate Diploma, or Professional Degree in Mechanical Engineering.
• Demonstrated proficiency in English.
• We are seeking candidates proficient in Mandarin to effectively communicate with Mandarin-speaking clients.
• Proficient in AutoCAD software.
• Capable of working independently and as a team.
• Strong coordination abilities.
• Flexibility and readiness to undertake travel when necessary.
• The position entails a 5.5-day workweek, with alternate Saturdays included.

Please include the following information in your resume:

• Personal Particulars

• Education background

• Work experiences

• Reason(s) for leaving

• Current and Expected salary

• Date of availability/Notice Period

*We regret to inform that only shortlisted candidates would be notified.

Responsibilities:

• Acts as the main technical advisor on construction sites, supervising staff, tools, and materials to ensure projects are completed safely, on time, and within budget.
• Interpret technical designs, set out site layouts, provide technical advice, and enforce safety regulations.
• Setting out, leveling, and surveying the site to establish building locations, grades, and elevations, ensuring all structural work follows design plans.
• Overseeing daily construction activities, managing subcontractors, and coordinating materials and labor to meet project goals.
• Providing technical solutions to site issues and conducting quality assurance inspections to ensure compliance with standards and regulations.
• Enforcing safety protocols, conducting safety audits, and ensuring compliance with Occupational Health and Safety (OHS) regulations.
• Maintaining accurate project documentation, such as site diaries, daily progress reports, and change orders.

Requirements:

• Min Degree in Civil Engineering or related field
• Min 3 years of relevant experience in geotechnical works and site supervision
• Experience in pipe jacking, tunnelling, or mining works preferred
• Knowledge of safety regulations and geotechnical construction standards

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Descriptions:

• Review and understand project specifications, general requirements, and construction drawings to ensure compliance with quality standards
• Report directly to QMR and Project Manager regarding all QAQC activities
• Assist QMR in updating any summary for all documents, drawings, letters, forms, and submissions
• Support QMR in the closing of reports for all audit-related documents, including ISO, safety, CONQUAS, cross project, client, and site audits
• Assist QMR to prepare quality documents PQP, ITP, Checklist, testing, mockup and material submission
• Ensure that the quality control is conducted efficiently and economically, in liaison with the Operations and Design Teams and other project staff responsible for quality control activities
• Monitor, track and arrange closure of all NCRs and NCNs
• Ensure that the project quality aligns with the company and project quality plan, highlighting any areas of concern to the QMR and Project Manager to maintain high-quality standards
• Assist in ensuring compliance with the project document management system, including document filing (both hard copy and e-filing) and managing documents on the server
• Assists QMR in the distribution and submission of documents and drawings to all clients, consultants, sub-contractors, and third parties
• Support QMR in the preparation of quality-related slides and updates to project team and company management
• Conduct quality inspections on-site for all activities involving clients, RE, RTO, and subcontractors
• Conduct on-site surveillance to monitor the quality of work and compliance with project specifications
• Assists QMR in the planning, organizing, and conducting of internal surveillance and follow-up audits to ensure continuous compliance
• Receive, check, and coordinate with Engineer on all materials and QAQC documentation (testing certificates, expiry date), delivery and ensure quality and quantity of materials, to report any discrepancies or deviations in materials
• Carryout/arrange internal quality audits including audits of suppliers, subcontractors and consultants as necessary
• Liaise with BCA and the production team
• Prepare monthly project reports to clients and internal stakeholders regarding quality metrics and performance
• Carryout any additional safety-related duties as assigned

Job Requirements:

• Bachelor’s Degree in Civil Engineering, Construction Management, or related discipline
• Minimum 3 years of QAQC experience in construction or civil engineering projects
• Experience in condominium projects will be an added advantage
• Knowledge of concrete technology, quality assurance, and quality control procedures
• Strong coordination, communication, and problem-solving skills

Job Description

• Industry/ Organization Type: Energy Solutions Provider
• Position Title: Regional Energy Manager/ Senior Engineer
• Working Location: Central
• Working Hours: 5 Days, Monday – Friday (flexible working hours)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Initiate and lead technical discussions with clients concerning their current cooling system configurations and energy efficiency objectives.
• Serve as a technical advisor for both internal and external stakeholders, including colleagues, clients, and potential clients, on matters related to energy efficiency.
• Perform comprehensive analysis of clients' cooling systems to evaluate current efficiency levels and pinpoint areas that can be improved.
• Create high-level, cost-effective design proposals and improvement strategies for potential clients as part of business development initiatives.
• Sustain and engage with external engineering partners on specific projects.
• Cultivate relationships with OEM equipment suppliers throughout the region.
• Manage project responsibilities, ensuring effective coordination and successful project delivery.
• Assist in team development by mentoring and training junior staff members to enhance their skills and performance.

APPLY NOW!!!

• Bachelor’s Degree in Engineering or an equivalent qualification.
• Minimum 8-10 years of relevant experience.
• Solid expertise in energy efficiency for commercial and industrial cooling systems.
• Excellent commercial and business insights.
• Willing to travel overseas as needed.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #71997 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

5 days, 8.30am-6.15pm

Salary: $3500- $6000

Location: Ubi 

Company background:

Specializes in Semiconductor Backend Tooling including Die Attach Tools, Wire Bond Tools & Bond Test Tools

Job Responsibilities:

• Design and development of Semiconductor Tools and mechanical systems.
• Planning, Scheduling and Costing of Tools and Mechanical Modules
• Responsible for 3D & 2D drawings, tolerance analysis, BOM preparation.
• Working closely with Electrical, Vision and Software Engineers.
• Willing to work extended hours in critical phases of project execution.

Job Requirements:

• Diploma or Degree in Mechanical Engineering or related Technical disciplines.
• Minimum 3 years of design experiences in semiconductor tooling
• Experience with Design and Development of High-Speed Pick and Place Systems, Flip Chip Bonders, Die Attach Machines, and Lamination Machine is a definite plus
• Proficiency with CAD Software is a must.
• Experience with vision application, thermal modelling, calculation and measurement techniques would be an advantage.

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Our client is a well-established A1 main contractor known for its strong track record in delivering high-profile mixed-use, commercial, residential, and large-scale building projects across Singapore. With a robust pipeline of upcoming developments, including iconic projects, they are actively seeking to hire multiple Project Engineers/Senior Project/Site Engineers at an exciting phase of their growth.

There are opportunities for both building and infrastructure projects islandwide.

What you will do

• Support the Project Manager in planning, coordinating, and executing on-site project activities.
• Attend site meetings, inspections, and monitoring sessions, providing updates on work progress.
• Work closely with architects, consultants, and stakeholders to ensure adherence to technical drawings and specifications.
• Oversee daily construction operations and ensure compliance with health, safety, and regulatory requirements.
• Coordinate site logistics, including material deliveries and equipment allocation, to maintain efficient workflow.
• Assist in tracking project budgets and monitoring cost-related matters.
• Help resolve site issues or delays by proposing practical corrective actions.
• Supervise subcontractors to ensure productivity, workmanship quality, and compliance with project requirements.

What you will need

• Degree/diploma in Civil Engineering, Construction Management, or related field
• Minimum 3 years of relevant experience as site/project engineer
• Candidate with more experience can be considered for the Senior position

Location: South

Interested candidates kindly forward your CV to yiling.tan@peoplesearch.jobs (Tan Yi Ling, Reg No: R21103172). You may share this opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

Embedded Software/ Firmware Engineer

What a Software Firmware Engineer does at HP:

• Design enhancement, update, and programming changes for portions and subsystems of firmware.
• Analyze design and determine coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
• Write and execute complete testing plans, protocols, and documentation for assigned portion of application; identifies, debugs and creates solutions for issues with code and integration into application architecture.
• Lead a project team of other firmware engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned systems portion or subsystem.
• Collaborate and communicate with management, internal, and outsourced development partners regarding firmware design status, project progress, and issue resolution.
• Represent the firmware engineering team for all phases of larger and more- complex development projects.
• Provide guidance and mentoring to less- experienced staff members.

Individuals who do well in this role at HP, usually possess:

• Bachelor's or Master's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent.
• Typically 6-9 years experience.
• Expertise in multiple firmware design tools and languages.
• Designing firmware, including interaction and integration with hardware design.
• Firmware testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
• Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job Responsibilities

• Lead the Extra-Low Voltage systems design on assigned large scale projects during the tender, design, procurement, construction, commissioning until finale client acceptance phase
• Design of control systems, instrumentation, cabling and cable support systems for Process equipment, Industrial Facilities and Commercial Buildings, with the support of Lead Engineer, if necessary
• Design of Life Safety System comprising of Public Address Systems, Access control, Closed Circuit, Gas Detection and Fire Alarm systems with the support of a Lead Engineer if necessary
• Design of Information Technology cabling System with the support of a Lead Engineer if necessary
• Develop P&IDs, Instruments and IO list, Sequence of Operations, Logic Diagrams, Cause and effect matrices with the support of Lead Engineer if necessary
• Develop / Execute / Expedite ELV packages during design, procurement, construction phase of a project and taking responsibility for the assigned packages
• Co-ordination and scheduling activities for the ELV supervisors on a project to ensure timely delivery at project milestone dates
• Interfacing with other trades during design phase and incorporate their requirements into the ELV systems design
• Technical Evaluation of vendor submission including approval of shop drawings
• Preparing the procedure for testing and commissioning of individual system and manage subcontractor during commissioning of the Extra Low Voltage systems
• Guiding ELV engineers / Designer / Draftsman for preparing cable routing plan, hookup drawings, wiring drawings, cable schedule, Junction Box schedule, Instrument Air manifold schedule, Block diagrams, P&IDs, Control System Schematic

Job Requirements

• Degree in Instrumentation and Controls Engineering 
• At least 8 years of experience in design and construction
• Experience in design, installation, programming, commissioning of Process and Building control systems
• Experience in design, selection, installation, commissioning of Instrumentation for Process and Building control systems   
• Experience in Extra Low Voltage Systems such as Fire Alarm, Security systems, IT data network
• Experience in Advanced Technology Facilities, Life Science & Chemicals, Energy & Environment Technologies, High Tech Infrastructure, Process Automation, Products and Services
• Experience in construction management

Are you an AI/ML Engineer who loves to build and implement innovative solutions that create value at scale? If so, you might be the perfect fit for our Senior AI/ML engineer role at Carlyle.

In this role, you will work with data scientists, engineers, and stakeholders to design, deploy, and operationalize state-of-the-art AI/ML systems that solve complex business problems. You will also drive the innovation of MLOps platforms and processes for the full machine learning lifecycle - from model experimentation, to CI/CD pipelines, to model monitoring and retraining in production environments. You will leverage cloud AI/ML platforms, containerization, automation tools and processes to streamline AI/ML workflows.

Additionally, you will optimize AI/ML solutions for performance, scalability and cost. You will serve models via microservices, APIs and batch scoring pipelines integrated with data products and business applications.

You should have strong expertise in AI/ML platform engineering, modern data platforms, model deployment pipelines, relevant cloud platforms and programming languages like Python. You should also have excellent problem-solving abilities, attention to detail and communication skills.

If you are passionate about pushing the boundaries of artificial intelligence and making an impact by delivering innovative ML solutions, this is the role for you. Join us and help shape the future of AI-driven products and services at Carlyle.

Primary Responsibilities:

• Collaborate with stakeholders and data scientists to translate business problems and requirements into ML solutions
• Engineer end-to-end AI/ML systems from prototyping to production deployment
• Design and implement AI/ML pipelines for data ingestion, transformation, model training, evaluation, and inference
• Choose and apply suitable ML algorithms and frameworks such as TensorFlow, PyTorch, Keras for model development
• Optimize model performance, accuracy and fairness using techniques like hyperparameter tuning, error analysis, and model governance
• Deploy and serve models using REST APIs, serverless functions, or microservices
• Monitor and maintain AI/ML solutions using AI/MLOps best practices and tools
• Enhance model scalability, performance and cost efficiency using cloud AI/ML platforms, containerization, and automation
• Build AI/MLOps discipline and practice

Requirements:

Education &Certificates

• Bachelor’s degree, required
• Concentration in Computer Science, Information Technology, or related field, preferred
• Industry Cloud and AI/ML Engineering level certifications desired

Professional Experience

• Minimum of 6 years of overall relevant technical experience, required
• 5+ years of direct experience in AI/ML engineering projects, preferred
• Experience with LLM refinement and vector database embeddings
• Experience with training, evaluating and deploying deep learning models

Competencies & Attributes

• Proficiency with common ML and data platforms such as AzureML, Amazon SageMaker, Databricks, and Snowflake
• Knowledge of AI/ML pipelines, AI/MLOps concepts and tools
• Ability to build production-grade AI/ML solutions with scalability in mind
• Experience with MLOps tools and techniques to optimize ML lifecycle management
• Experience with ML metadata and artifact tracking platforms such as MLflow
• Experience containerizing and deploying models and solutions to cloud platforms like Azure or AWS
• Understanding of model governance concepts such model risk analysis, QA, compliance
• Experience with building ML technical architecture diagrams encompassing data, model building, operations
• Experience with operating end-to-end ML platforms supporting analytics and ML teams
• Experience with assessing model technical debt, maintaining pipelines, keeping systems up-to-date
• Experience with Python for analytics and ML applications
• Proficiency with common Python data analysis libraries like NumPy, Pandas, SciPy
• Experience with common Python ML libraries like Scikit-Learn, TensorFlow, PyTorch
• Experience with Jupyter Notebooks for ML experimentation and prototyping
• Ability to transition ML prototypes to production solutions
• Experience with Terraform for IaC of ML infrastructure on Azure, AWS cloud platforms.
• Strong problem solving, analytical and communication skills

Role Summary
Responsible for end-to-end management of sheet metal fabrication projects, ensuring successful execution from design review and material planning to production, quality control, and on-time delivery. Acts as the key liaison between engineering, production, suppliers, and customers.

Key Responsibilities

• Manage multiple fabrication projects, ensuring delivery within scope, schedule, and budget.
• Review customer drawings, specifications, and BOMs for manufacturability.
• Coordinate with engineering, procurement, production, and logistics teams to ensure smooth project execution.
• Prepare and monitor project schedules, work orders, and production plans.
• Support CAD/CAM teams in developing fabrication drawings and nesting layouts.
• Apply DFM principles for sheet metal processes including cutting, bending, welding, punching, and forming.
• Monitor shop-floor activities, machine scheduling, and production progress.
• Resolve technical and production issues, minimizing delays and material wastage.
• Liaise with customers and vendors on technical requirements, project updates, and outsourced processes.
• Prepare project status reports and ensure quality and delivery targets are met.

Requirements

• Degree in Mechanical, Production, or Manufacturing Engineering.
• 3–6 years of experience in sheet metal fabrication, heavy engineering, or related industries.
• Strong knowledge of sheet metal manufacturing processes, materials, and fabrication methods.
• Proficient in interpreting engineering drawings, GD&T, and BOMs.
• Experience with SolidWorks, AutoCAD, ERP/MRP systems, and Microsoft Excel.
• Familiarity with CAD/CAM, nesting software, and Trumpf machines is an advantage.
• Strong project management, problem-solving, communication, and coordination skills.

Preferred Industries: Sheet Metal Fabrication, Enclosures, Automotive, Industrial Equipment.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage, balancing performance and cost
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

How You Will Stand Out

• Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments
• Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation
• Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• Ability to translate cutting-edge research (LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions
• Strong systems thinking with a research-oriented mindset and solid engineering execution
• Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Responsibilities:

• Perform engineering duties such as design, engineering calculations, planning, tender preparation/evaluations as part of the engineering project team
• QA/QC documentation of engineering deliverables
• Liaison with clients, project managers, architects, contractors
• Assist in resolving any technical problems faced during project design and/or construction stages
• Any other required duties as required by the Project Team.

Requirements

• Degree in Mechanical Engineering.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

Key Responsibilities:

• Technical Ownership: Lead the end-to-end delivery of complex features, ensuring that technical designs are robust, scalable, and aligned with long-term goals.
• Engineering Excellence: Drive the adoption of high-quality engineering standards, ensuring that software systems are maintainable, secure, and reusable.
• Design & Implementation: Take an active role in architectural discussions and squad-level technical decisions, advocating for best practices in modern software development.
• Strategic Influence: Help shape the technical direction of digital initiatives to maximize their impact on the public good.
• Culture Building: Establish and refine engineering practices and tools that foster a strong, effective, and collaborative engineering culture.
• Stakeholder & Dependency Management: Independently navigate work-related dependencies and communicate technical concepts effectively to both senior leads and legal domain experts.
• Roadmapping: Collaborate with leadership to define and update technical plans and infrastructure roadmaps to meet future organizational needs.

What We Are Looking For:

Technical Requirements

• Professional Experience: * At least 7 years of professional experience in software engineering.
• Proven track record of building and maintaining large-scale, high-availability software systems.
• (Good to have) Experience in public sector, legal, or highly regulated environments is advantageous.
• Full-Stack Expertise: Deep experience in modern full-stack web application architecture and development.
• Tech Stack: Proficiency in JavaScript Typescript frontend development and TypeScript/Python for AI related back-end development.
• GenAI Development: Hands-on experience in Generative AI (GenAI) development, including working with Large Language Models (LLMs), RAG patterns, and building AI-driven features.

Infrastructure & Cloud:

• Strong hands-on experience working with Amazon Web Services (AWS) infrastructure.
• Proficiency in Infrastructure as Code (IaC) using Terraform.

DevOps:

• Experience designing and maintaining CI/CD pipelines exclusively using GitLab CI within the SHIP-HATS ecosystem.

Leadership & Soft Skills

• Strong Communication: Able to hold your own in conversations with legal professionals, product owners, vendors, and senior leadership. You can present complex findings clearly to non-technical audiences.
• Technical Maturity: A strong sense of ownership and the ability to navigate a professional, high-stakes organizational environment.
• Comfort with Ambiguity: You create structure where none exists and drive progress without waiting for perfect conditions or complete information.
• Mentorship: A collaborative mindset with a passion for coaching junior members and sharing knowledge with the wider team.
• Mission-Driven: A genuine commitment to the public good and an interest in the legal and justice sector.
• Craftsmanship: An uncompromising focus on engineering excellence, performance, and clean, well-documented code.

Key Responsibilities:

• Technical Ownership: Lead the end-to-end delivery of complex features, ensuring that technical designs are robust, scalable, and aligned with long-term goals.
• Engineering Excellence: Drive the adoption of high-quality engineering standards, ensuring that software systems are maintainable, secure, and reusable.
• Design & Implementation: Take an active role in architectural discussions and squad-level technical decisions, advocating for best practices in modern software development.
• Strategic Influence: Help shape the technical direction of digital initiatives to maximize their impact on the public good.
• Culture Building: Establish and refine engineering practices and tools that foster a strong, effective, and collaborative engineering culture.
• Stakeholder & Dependency Management: Independently navigate work-related dependencies and communicate technical concepts effectively to both senior leads and legal domain experts.
• Roadmapping: Collaborate with leadership to define and update technical plans and infrastructure roadmaps to meet future organizational needs.

What We Are Looking For:

Technical Requirements

• Professional Experience: * At least 7 years of professional experience in software engineering.
• Proven track record of building and maintaining large-scale, high-availability software systems.
• (Good to have) Experience in public sector, legal, or highly regulated environments is advantageous.
• Full-Stack Expertise: Deep experience in modern full-stack web application architecture and development.
• Tech Stack: Proficiency in JavaScript Typescript frontend development and TypeScript/Python for AI related back-end development.
• GenAI Development: Hands-on experience in Generative AI (GenAI) development, including working with Large Language Models (LLMs), RAG patterns, and building AI-driven features.

Infrastructure & Cloud:

• Strong hands-on experience working with Amazon Web Services (AWS) infrastructure.
• Proficiency in Infrastructure as Code (IaC) using Terraform.

DevOps:

• Experience designing and maintaining CI/CD pipelines exclusively using GitLab CI within the SHIP-HATS ecosystem.

Leadership & Soft Skills

• Strong Communication: Able to hold your own in conversations with legal professionals, product owners, vendors, and senior leadership. You can present complex findings clearly to non-technical audiences.
• Technical Maturity: A strong sense of ownership and the ability to navigate a professional, high-stakes organizational environment.
• Comfort with Ambiguity: You create structure where none exists and drive progress without waiting for perfect conditions or complete information.
• Mentorship: A collaborative mindset with a passion for coaching junior members and sharing knowledge with the wider team.
• Mission-Driven: A genuine commitment to the public good and an interest in the legal and justice sector.
• Craftsmanship: An uncompromising focus on engineering excellence, performance, and clean, well-documented code.

Job Overview

We are seeking a Marine Structural Engineer to support the design, engineering, and technical execution of shipbuilding, vessel conversion, and repair projects. This role will be responsible for developing production drawings, performing structural calculations, reviewing technical specifications, and ensuring compliance with classification society requirements and maritime regulations.

The ideal candidate should possess strong structural design expertise within the marine or offshore industry and have experience working closely with clients, classification societies, designers, and shipyard teams throughout the project lifecycle.

Key Responsibilities

Engineering Design & Technical Review

• Review contracts, technical specifications, equipment requirements, and engineering documentation to ensure compliance with project obligations
• Interpret design drawings, classification requirements, and maritime regulations to support engineering activities
• Develop engineering solutions and technical proposals to address project requirements and design challenges
• Prepare technical responses, drawing comments, and engineering clarifications for clients, classification societies, and project stakeholders

Structural Design & Production Drawings

• Prepare and develop production drawings based on approved design and classification drawings
• Produce engineering drawings including General Arrangement (GA), outfitting drawings, lifesaving arrangements, structural construction plans, lifting arrangements, and other vessel-related drawings
• Perform structural strength calculations, weight calculations, and weight control analysis
• Support the development of block construction plans and structural fabrication documentation
• Ensure engineering deliverables are completed accurately and according to project schedules

Project Coordination & Stakeholder Management

• Liaise with clients, classification societies, designers, vendors, and internal project teams to ensure technical compliance and timely project execution
• Support new building, conversion, and ship repair projects throughout the engineering phase
• Participate in technical discussions and coordinate engineering matters with relevant stakeholders

Tender & Proposal Support

• Assist commercial teams during tender submissions for shipbuilding, repair, and conversion projects
• Support conceptual design development and technical proposal preparation for new business opportunities
• Review tender requirements and provide engineering input during bid preparation

Requirements

• Diploma or Degree in Marine Engineering, Naval Architecture, or a related engineering discipline
• Minimum 3-5 years of experience in marine structural engineering, naval architecture, or ship design within the marine, offshore, or shipbuilding industry
• Strong understanding of vessel structures, classification rules, and maritime regulations
• Experience preparing structural calculations, weight calculations, and production drawings
• Proficiency in AutoCAD and Microsoft Office applications
• Ability to interpret engineering drawings, technical specifications, and project requirements
• Strong analytical and problem-solving skills
• Effective communication and stakeholder management abilities
• Ability to work independently while managing multiple engineering deliverables
• Willingness to travel overseas for technical meetings when required

Please send your detailed resume in MS Word format to resume@goldtecHRs.com with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability

AI Singapore (AISG) is Singapore's national programme in artificial intelligence, launched by the National Research Foundation (NRF) to anchor deep national capabilities in AI. Hosted at Nanyang Technological University (NTU), AI Singapore brings together Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow knowledge, create tools, and develop the talent to power Singapore's AI efforts. Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity, centred around innovation.

The candidate will join a team of AI scientists, apprentices, data and software engineers. With the team, he or she will be responsible for building evaluations that test the limits of AI models especially in terms of its multilingual, multicultural and multimodal capabilities.

Duties and Responsibilities:

• Develop and maintain evaluation frameworks and pipelines to measure the capabilities of Large Language Models (LLMs).

• Keep up to date and experiment with the latest research in multilingual, multicultural, and multimodal LLM evaluations such as the LLM-as-a-Judge paradigm.

• Work with partners to collect, translate and verify evaluation datasets.

• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solutions.

• Collaborate with cross-functional teams within AI Products to design and resolve issues.

• Maintain code repository and documentation standards.

• Contribute to community engagement activities such as sharings via technical session meet-ups and article write-ups, and participating in discussion forums.

Requirements:

• Graduate from a degree program in computer science, AI, data science or related fields (or equivalent practical experience).

• Deep understanding of LLM evaluation experimental design and the advantages/limitations of various LLM evaluation methods.

• Experience in LLM inference frameworks such as vLLM and AI/Deep Learning frameworks such as PyTorch.

• Writing production level code in Python and using version control systems such as Git.

• Strong written and verbal communication skills.

• Independent learner that is capable of reading and understanding research papers.

• Fluent in English and one other Southeast Asian language for the purposes of understanding how to build quality evaluations from a multilingual and multicultural perspective.

We regret that only shortlisted candidates will be notified.

About the Role

The primary job responsibility of the Production Process Engineer is to optimize production processes by analyzing existing processes, identifying areas for improvement, and implementing changes to enhance efficiency, productivity, and quality. The engineer collaborates with cross-functional teams to develop and implement process improvements, troubleshoot issues, and ensure smooth operations. They are responsible for assessing and mitigating potential risks, implementing safety measures, and ensuring that the production processes meet all applicable regulatory requirements.  They play a key role in supporting new product development and scale-up activities with cross-functional teams to ensure the successful introduction of new products into the production environment.

Key Responsibilities

Ensure all Plant’s equipment reliability and usability

• Review and plan equipment service and replacement schedule
• Conduct root analysis for complicated equipment breakdown and exceptional report
• Recommend for equipment modifications.
• Take charge of schedule for plant equipment overhaul and service SDM tasks
• Respond to urgent breakdown incident

Ensure equipment efficiency by optimizing equipment service and maintenance procedures and frequency

• Review and develop equipment service, maintenance, and overhaul SOPs & master plan

Monitor and ensure Plant’s compliance with MOM safety regulations, and systems and equipment meet required standards

• Response for Monthly equipment PM execution and SDM equipment service, replacement, and overhaul
• Response for statutory equipment yearly inspection and certification.
• Attend to equipment troubleshooting
• Manage inventory updates.
• Review, prepare and provide inputs for Risk Assessment

Evaluate the effectiveness of maintenance strategies and identify areas for cost reduction

• Manage and supervise contractors’ work.
• Negotiate the price of the proposal sent by contractors.
• Review reports submitted by contractors.
• Manage the cost of the project and project milestones.
• Manage the RM cost

Ensures all projects are delivered on time, within budget and meet the desired specifications

• Review all vendor contracts and recommend the performance of contractors.
• Conduct vendor service performance audit
• Liaise with HQ technical team for process improvement and equipment issues

What We’re Looking For

• Min of 5 years of relevant working experience (Diploma)
• Intermediate MS Office
• Strong problem-solving and analytical skills
• Good Written and spoken English.
• Good communication and negotiation skills
• Good presentation skills to share and brief co-workers and management with clarity.
• Rich experience indifferent kind of motorized equipment service, troubleshooting
• Good knowledge in Mechanical related, e.g. material, application etc.
• Able to read P&ID drawing.
• Able to carry out hands-on work.
• Have leadership and supervision skills to guide and coach team members
• Independent individual that does not require supervision. 
• Good Communication skills, being a good team player who can collaborate across different teams and departments.
• Positive working attitude
• Willing to learn new things.
• Self-motivated to look for problems and solutions.
• Inquisitive and innovative mind to explore new areas and technologies.
• Possess a safety mindset

Others:

• Location: Jurong Island (Company Transport provided)
• Commence work: ASAP.
• Applicants can work in Singapore without requiring a work pass.
• Working Hours: Mon ~ Fri from 8:00 am - 4:45 pm

Why Join Us?

• Join a reputable MNC with structured learning and growth opportunities.
• Attractive compensation with performance bonuses, AWS, allowances and comprehensive employee benefits.
• Supportive and collaborative team culture
• Company-provided transport to Jurong Island

About fileAI

fileAI is the leading AI-native workflow automation platform and the world's only horizontal file processing agent, designed to automate complex, unstructured data workflows at scale.

Key Responsibilities

● Collaborate with customers to understand requirements, workflows, and integration needs

● Design, develop, and deploy full stack features and customizations using modern frameworks

● Build scalable APIs, integrations, and front-end experiences that extend our SaaS platform

● Troubleshoot, debug, and optimize code in production environments

● Serve as a technical advisor to customers during onboarding and implementation

● Ensure solutions follow best practices for performance, security, and maintainability

● Partner with the product team to translate customer needs into product roadmap insights

Qualifications:

● Proven experience in software design and development, both frontend and backend

● Ability to clearly articulate complex technical concepts in a way that is accessible to both technical and non-technical stakeholders

● Proficiency in Typescript, React, and Node

● Strong understanding of RESTful API principles and relational databases (PostgreSQL preferred)

● Excellent communication skills and a team-first mentality

Perks & Culture

● Competitive salary and performance-based incentives

● Dynamic and collaborative work environment

● Grow & learn with a fast-growing organization

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33283-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Job Scope:

• Review mechanical designs and technical submissions for compliance
• Support site inspections, project coordination, and issue resolution
• Oversee testing, commissioning, and handover of mechanical systems
• Ensure compliance with regulatory and healthcare standards
• Maintain project documentation and support technical submissions

Requirements:

• Degree in Mechanical Engineering or related discipline
• Experience in healthcare facilities or large institutional projects is highly preferred
• Knowledge of ACMV, medical gas systems, and healthcare mechanical standards preferred
• Familiar with BCA, NEA, and SCDF requirements
• Able to interpret engineering drawings and coordinate with multiple stakeholders

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:
Whatsapp: https://wa.me/+6597430026 
Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122
Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Key Responsibilities

Site Reliability & Operations

• Manage and improve the reliability, availability, and operational excellence of the SHIP-HATS platform
• Define, monitor, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
• Lead incident management, troubleshooting, root cause analysis, and post-mortem reviews
• Drive continuous improvements to reduce operational toil and prevent recurring incidents
• Perform capacity planning, performance tuning, and system optimisation

Observability & Monitoring

• Design and implement observability solutions across logging, metrics, and distributed tracing
• Build dashboards, alerts, and monitoring strategies to provide deep visibility into platform health
• Manage and maintain monitoring stacks such as Prometheus, Grafana, ELK, or equivalent tools

Infrastructure & Automation

• Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform or Ansible
• Automate infrastructure provisioning, deployment, and operational workflows
• Support both cloud and on-premises infrastructure environments
• Contribute to CI/CD pipeline improvements and platform automation initiatives

Collaboration & Engineering Excellence

• Work closely with engineering and product teams to embed reliability and operability practices into the software development lifecycle
• Review system architectures and recommend reliability, scalability, and resilience improvements
• Advocate for DevSecOps, automation, and operational best practices across teams

Requirements

• Degree in Computer Science, Information Technology, Engineering, or related disciplines
• Hands-on experience with Kubernetes and container orchestration platforms
• Experience with CI/CD and DevSecOps tools such as GitLab, Jira, Confluence, Fortify, or similar platforms
• Proficiency in at least one scripting or programming language such as Python, Go, or Bash
• Experience with Infrastructure-as-Code tools such as Terraform or Ansible
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience implementing and managing observability and monitoring solutions such as ELK Stack, Prometheus, or Grafana
• Good understanding of networking, system reliability, security hardening, and operational best practices
• Strong analytical, troubleshooting, and problem-solving skills
• Ability to work effectively in Agile and cross-functional environments
• Good communication and stakeholder management skills

Good to Have

• Experience with GitOps workflows and service mesh technologies such as Istio
• Familiarity with secrets management tools such as HashiCorp Vault
• Exposure to government ICT standards, IM8 policies, or regulated environments
• AI-native mindset and software engineering capabilities
• Experience supporting large-scale enterprise or public sector platforms

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33282-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Job Description: Join the future of enterprise security! At ASIS Technologies, we don't just sell hardware; we design intelligent security ecosystems. We are looking for a motivated individual to join our Singapore HQ as a Solution Engineer.

Whether you are a fresh Engineering graduate or looking to switch into the high-growth Security & AI industry, we provide the blueprint and tools for your success.

Key Responsibilities:

• System Design: Learn to create professional project proposals, system diagrams, and Bill of Quantities (BOQ) for enterprise clients.

• Tech-AI Integration: Utilize advanced AI tools to streamline technical support and design compliance-ready security solutions.

• Customer Collaboration: Work closely with the sales team to address technical enquiries and provide top-tier support.

• Professional Growth: Undergo structured in-house training to become a subject matter expert in Access Control and CCTV systems.

Requirements:

• Education: Diploma or Degree in Engineering (Electrical, Electronics, Computer, or related fields).

• Experience: 0–2 years. We value aptitude over years of service. If you are meticulous and tech-savvy, we want you.

• Mindset: A strong desire to learn the intricacies of Enterprise Security Systems.

• Bonus: Prior experience in ELV/Security systems is a plus, but not mandatory.