Total 4,937 operations engineer job vacancies in Engineering category

Key Responsibilities

• Analyse and optimize manufacturing processes to improve productivity, efficiency and product quality.
• Partner with Engineering, Production, Materials, Systems and Maintenance teams to resolve manufacturing issues and improve operational performance.
• Support the implementation of new manufacturing processes, production plans and engineering projects.
• Drive continuous improvement initiatives across manufacturing operations.
• Monitor and improve manufacturing KPIs, including:QualityProduction volumeProcess capacityManufacturing efficiencyProduct integrityProduct certificationCostInventory performance
• Prepare operational reports and present findings to management.
• Support cycle time reduction and capacity improvement initiatives.
• Collaborate with cross-functional stakeholders to achieve manufacturing and business objectives.
• Ensure compliance with company quality standards and manufacturing procedures.

Requirements

• Diploma or Degree in Mechanical, Manufacturing, Industrial or related Engineering discipline.
• At least 3 years of relevant Industrial Engineering or Manufacturing Engineering experience.
• Prior experience in Server Manufacturing, Electronics Manufacturing, Semiconductor or High Precision Manufacturing will be advantageous.
• Knowledge of manufacturing process optimization, production planning and continuous improvement methodologies.
• Strong analytical, problem-solving and communication skills.
• Able to work independently while collaborating effectively across multiple departments.
• Proficient in Microsoft Excel and manufacturing data analysis.

What's on Offer

• Competitive salary package
• Permanent opportunity with an established MNC
• Comprehensive employee benefits
• Stable business with strong growth
• Structured training and career progression
• Collaborative and professional working environment
• Convenient Tampines location

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities. 

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application. 

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

Interested applicants may click APPLY NOW!

Talentvis Singapore Pte Ltd | EA License No: 04C3537
EA Personnel Name: Ong Hui Shan (Gwen) | EA Personnel No: R1767800

Our esteemed client in the IT industry is seeking a Full Stack Engineer (React/ Node.js) to join their dynamic team:

• Employment Type: 1-year renewable contract
• Position: Full Stack Engineer (React / Node.js)
• Location: Central
• Working Hours: Monday to Friday, Office Hours
• Salary Package: Basic + Bonus + Medical Benefits

Job Responsibilities:

• Provide technical oversight for the web portal post-migration, troubleshooting issues related to UI/UX rendering, CMS templates, API integrations, and data ingestion to ensure a smooth transition into steady-state operations.
• Develop and implement new front-end components using React/Next.js and back-end logic using Node.js/TypeScript. This includes building complex data checkers, search tools, and personalized user features.
• Design and maintain secure integrations with internal back-end systems, external datasets, and secure file transfer protocols, ensuring the robust handling of API keys and tokens.
• Configure modules, workflows, and metadata within a headless CMS environment (Directus or similar), ensuring the platform remains intuitive for content and product teams.
• Lead UAT defect resolution and implement automated testing suites. Ensure all code meets strict accessibility (WCAG), performance, and security standards (including VAPT remediation).
• Actively participate in agile ceremonies (sprint planning, retrospectives) and collaborate with designers, product owners, and QA teams using GitLab for version control and CI/CD.
• Maintain comprehensive technical documentation, including system architecture updates and release notes.

Job Requirements:

• Strong hands-on experience with Node.js, TypeScript, React, and Next.js, with the ability to build and maintain full stack web applications.
• Experience working with Directus CMS or similar headless CMS platforms, including configuration of modules, workflows, and content components.
• Good understanding of REST APIs, JSON, OAuth2, and API security, with experience integrating internal and external systems.
• Familiarity with GitLab, CI/CD pipelines, DevSecOps practices, Docker, and containerised deployments.
• Knowledge of cloud and web infrastructure, preferably AWS services such as EC2, S3, CDN, and Load Balancers.
• Experience implementing automated testing (unit, integration, end-to-end), code quality checks, accessibility compliance (WCAG), and performance optimisation.
• Strong troubleshooting and debugging skills across frontend, backend, and cloud environments, with the ability to support production systems effectively.

Ready to apply? Here’s how: 

• Click the APPLY button, or 
• Email your resume (in MS Word or PDF format) to adelin@intuitrecruitment.com. Include the job title in your email subject line for prompt processing. 

Only shortlisted candidates will be notified. 

By submitting your application, you consent to the collection and use of your personal data under Personal Data Protection Act (PDPA). 

Adelin Chong | EA Personnel Reg No.: R1875641 

Intuit Recruitment Pte Ltd | EA License No.: 25C2793 

About the Role

We are looking for exceptional AI Engineers to build the next generation of AI infrastructure and Machine Learning Systems(MLSys).

This role focuses on large-scale system infrastructure rather than model research. You will work on the core foundations that power large-scale AI training and inference systems, including Kubernetes cluster management, RDMA networking, unified KV Cache architecture, observability platforms, distributed systems, GPU orchestration, and CUDA kernel optimisation.

You will collaborate closely with AI researchers, infrastructure architects, networking engineers, and platform teams to maximize the efficiency, scalability, and reliability of AI systems.

Key Responsibilities

AI Infrastructure & Kubernetes

• Design, deploy, and operate large-scale Kubernetes-based AI infrastructure.
• Develop cluster governance frameworks, scheduling policies, resource isolation, and multi-tenancy capabilities.
• Build and optimize GPU orchestration platforms using Kubernetes, Slurm, Volcano, Kueue, Ray, and related technologies.
• Improve cluster utilization, reliability, elasticity, and operational efficiency.

RDMA & High-Performance Networking

• Design and optimize RDMA, InfiniBand, RoCE, and high-speed Ethernet fabrics for distributed AI workloads.
• Optimize GPU-to-GPU and GPU-to-NIC communication paths.
• Improve distributed communication efficiency for large-scale training and inference.
• Analyze and eliminate networking bottlenecks across AI clusters.

Unified KV Cache & Distributed Memory Systems

• Design and implement unified KV Cache architecture across:
• GPU HBM
• CPU Memory
• RDMA-accessible Memory
• NVMe SSD
• Distributed Storage
• Develop efficient KV Cache sharing, migration, offloading, and scheduling mechanisms.
• Optimize latency and throughput for large-scale inference systems.

CUDA & System Performance Optimisation

• Develop and optimize CUDA kernels for training and inference workloads.
• Profile and optimize GPU compute, memory, communication, and scheduling efficiency.
• Contribute to low-level optimization of AI frameworks and inference engines.
• Work on technologies such as FlashAttention, TensorRT, Triton, NCCL, CUTLASS, and custom operators.

Observability & Reliability

• Build end-to-end observability platforms for AI infrastructure.
• Design monitoring, logging, tracing, alerting, and troubleshooting frameworks.
• Develop performance dashboards and SLO-driven operational systems.
• Improve maintainability, debuggability, and operational excellence of AI platforms.

Automation & Platform Engineering

• Build automation tools for deployment, provisioning, monitoring, and operations.
• Develop Infrastructure-as-Code (IaC) solutions using Terraform, Ansible, and related tools.
• Build CI/CD pipelines and engineering productivity platforms.
• Improve platform scalability and operational efficiency.

Required Qualifications

Education

• Bachelor's degree or above in Computer Science, Software Engineering, Electrical Engineering, or related fields.

Technical Skills

• Strong software engineering and programming skills.
• Excellent system design capability and strong engineering craftsmanship.
• Strong coding standards and code quality awareness.
• Strong sense of ownership, accountability, and execution.

System Fundamentals

Strong understanding of:

• Operating Systems
• Computer Networks
• Distributed Systems
• Data Structures and Algorithms
• Linux Internals

Programming Languages

Proficiency in one or more of:

• C++
• Go
• Python
• Rust

AI Infrastructure Experience

Hands-on experience in one or more of:

• Kubernetes
• GPU Infrastructure
• Distributed Systems
• AI Infrastructure
• HPC (High Performance Computing)
• Cloud-Native Platforms

Networking Experience

Experience with:

• RDMA
• InfiniBand
• RoCE/RoCEv2
• GPUDirect
• NCCL
• UCX
• High-Speed Ethernet

GPU & Performance Engineering

Experience with:

• CUDA
• GPU Performance Optimization
• Multi-GPU Systems
• Distributed Training
• Distributed Inference

Preferred Qualifications

• Experience building large-scale AI training or inference clusters.
• Experience with vLLM, SGLang, TensorRT-LLM, Triton, DeepSpeed, Megatron-LM, Ray, or similar frameworks.
• Experience with unified KV Cache systems, memory hierarchy optimisation, or distributed storage systems.
• Experience with Kubernetes GPU Operator and NVIDIA NetworkOperator.
• Experience with Prometheus, Grafana, Loki, OpenTelemetry, and observability platforms.
• Experience contributing to open-source projects such as: vLLM, FlashAttention, CUTLASS, TVM, MLIR, Triton, Kubernetes, NCCL
• Experience working across AI Infrastructure, HPC, Networking, and Silicon Systems is highly desirable.

We are seeking a highly motivated and hands-on AI Engineer /Agentic AI Builder to drive the development, implementation, and optimization of autonomous, agentic AI workflows across our Testing, Inspection, and Certification (TIC) operations. In this role, you will be a core builder—leveraging Large Language Models (LLMs), workflow automation, and modern AI APIs. Design and deploy Agentic AI systems capable of executing complex, multi-step tasks to improve internal efficiency and enhance our standard operating procedures (SOPs).

This role is ideal for a builder who loves setting up autonomous AI agents, connecting them via modern APIs to real-world business tools, and deploying systems that drastically reduce manual operational bottlenecks.

Key Responsibilities:

• Agentic AI Setup & Orchestration: Design, build, and deploy single and multi-agent systems that utilize autonomous reasoning, tool-calling (function calling), and memory to complete complex workflows with minimal human supervision.
• Process Automation & Tool Integration: Identify opportunities to automate manual text- and data-heavy workflows within our testing, lab, and inspection operations (e.g., parsing compliance standards, synthesizing lab results, and auto-generating draft inspection reports).
• Hands-on Coding & API Deployment: Write, test, and deploy clean production-grade Python code to integrate AI agents with internal data sources and third-party APIs.
• Evaluation& HITL Integration: Implement Human-in-the-Loop (HITL) review mechanisms into agent workflows to ensure high-stakes data is verified by human experts before final execution.
• Prompt &Context Engineering: Fine-tune system prompts, establish agent guardrails, and implement robust context management to minimize AI hallucinations and ensure data security.
• Operational Collaboration: Work closely with laboratory technicians, inspectors, and operations managers to map out their manual SOPs and translate them into automated agent workflows.
• User Adoption & Enablement: Help drive the adoption of new AI tools by creating simple documentation, gathering feedback from end-users, and measuring how much time the tools save.
  

Qualifications:

Minimum Requirements:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline (or equivalent practical experience/portfolio of built AI projects).
• Experience: at least 3 years of hands-on experience in software engineering, python programming, or AI prototype development.
• Agentic AI& LLM Familiarity: Practical experience setting up AI tools, writing effective system prompts, and utilizing LLM APIs (OpenAI, Anthropic, etc.) for tool-calling or multi-step execution.
• Programming Skills: Strong fundamental programming skills in Python, with experience using collaborative software workflows (e.g., Git).
• Problem-Solving Mindset: Ability to break down complex, manual human procedures into clear logical rules and steps that an AI agent can execute.

Preferred (not required but would be an advantage to have):

• Agentic Frameworks: Hands-on experience with modern agent orchestration frameworks or graph-based tools (e.g., LangGraph, CrewAI, AutoGen, or flow builders like Flowise/Langflow).
• Information Retrieval: Exposure to Retrieval-Augmented Generation (RAG) architectures and vector databases.
• Document Processing: Experience using OCR and AI tools to convert unstructured laboratory PDFs, images, and inspection logs into structured data for agent ingestion.
• TIC Industry Exposure: A basic understanding of or interest in lab workflows, ISO standards, or regulatory compliance

Responsibilities

• Provide technical support and effective site coordination, ensuring timely resolution of project and installation issues.

• Apply sound engineering knowledge, design expertise, and understanding of relevant building services codes and standards to support project execution.

• Ensure materials and installation works carried out by suppliers and subcontractors comply with project specifications and quality management requirements.

• Coordinate, monitor, and inspect supplier deliveries, equipment, and subcontractor works to maintain quality standards.

• Prepare and review shop drawings, coordinated drawings, and related technical documentation.

• Develop work schedules and participate in client, consultant, and internal project meetings.

• Support the Project Manager in managing daily project activities, including planning, quality assurance, safety compliance, and project progress monitoring.

• Liaise closely with the main contractor and project stakeholders to ensure smooth execution and minimize rework.

• Monitor and control site materials and equipment usage to reduce wastage and optimize resources.

• Maintain close communication with suppliers and subcontractors to ensure timely deliveries and avoid delays impacting project schedules.

• Conduct inspections to identify and rectify non-conforming materials, products, or installations, preventing defects and quality issues.

• Evaluate and implement innovative technologies and installation methodologies to enhance productivity and operational efficiency.

• Track site progress closely and provide clear direction and communication to subcontractors and suppliers.

• Perform any other duties and responsibilities as assigned. 

  Working days: 5 days working, 8:00 to 4:45 (Based on Project) 

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514 

5 days working

8:00 to 4:45 (Based on Project) 

• Provide effective site coordination and technical problem-solving support to clients and project stakeholders.

• Apply engineering expertise in design, building services systems, and relevant codes of practice to ensure project requirements are met.

• Ensure materials and installation works performed by suppliers and subcontractors comply with quality standards and ISO procedures.

• Monitor and coordinate material deliveries, equipment, and subcontractor activities to maintain installation quality and project schedules.

• Prepare shop drawings, coordinated drawings, and other technical documentation required for project execution.

• Develop work schedules and participate in client, consultant, and internal project meetings.

• Assist the Project Manager in overseeing daily project operations, including planning, quality control, safety compliance, and progress monitoring.

• Liaise closely with the main contractor and project teams to ensure smooth coordination and minimize rework.

• Manage site materials and equipment efficiently to reduce wastage and optimize resource utilization.

• Maintain close communication with suppliers and subcontractors to ensure timely deliveries and prevent project delays.

• Conduct inspections to identify and rectify non-conforming materials or installations, ensuring compliance with project specifications.

• Evaluate and implement new technologies and installation methods to enhance productivity and operational efficiency.

• Monitor site progress closely and provide clear guidance to suppliers and subcontractors to ensure timely completion of works.

• Perform other duties and responsibilities as assigned.

For interested applicants, kindly send your resume in Word/PDF format to include the following in your resume including:

1. Current Salary

2. Expected Salary

3. Availability

4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

NGUYEN THI DOAN | R23116355

RRecruiter Pte. Ltd. | 18C9514 

Main Responsibilities: 

• Configure and support MES workflows within PharmaSuite / Catalyst
• Support electronic batch record (EBR) design and execution
• Work closely with operations, QA, and IT teams for system integration
• Perform testing, validation, and troubleshooting of MES workflows
• Support change control, system upgrades, and hypercare activities

Requirements: 

• At least 4 years of experience in MES within pharma manufacturing
• Hands-on experience with PharmaSuite / Catalyst systems
• Strong understanding of GMP, ISA-95, and batch processes
• Exposure to system interfaces (ERP / DeltaV / PLC) and validation lifecycle

Contract Duration: 12 months with options to renew based on performance

ACMV Engineer (Air Conditioning and Mechanical Ventilation Engineer)

Working Days: Monday – Friday
Working Hours: 9am – 5.30pm
Salary: $ 3,800 - $ 5,000
Working Location: Eunos

Industry: Interior Design & Construction Company

Job Responsibilities:

• Design and planning of ACMV and MV systems
• Preparing and submitting tenders (Tender Costing)
• Conducting site surveys and managing the construction site (Site Management)
• Familiar with and arranging ACMV related services
• Assisting in the procurement of engineering equipment and materials (Procurement)
• Supervising on-site installation work to ensure compliance with drawings and specifications
• Assisting in testing and commissioning (T & C) Commissioning) Assisting with system troubleshooting and problem solving
   

Requirements:

• Diploma in Engineering-related experience (Mechanical, Electrical or construction services preferred)
• 2+ years of relevant work experience
• Familiarity with local regulations and standards preferred 

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Role Overview

We are seeking an experienced Backend Engineer with strong expertise in Generative AI technologies to join our growing AI engineering team. This role focuses on designing, developing, and maintaining scalable backend services, AI orchestration frameworks, and cloud-native AI solutions that support enterprise-grade AI applications.

The successful candidate will contribute to the development of intelligent agent frameworks, Retrieval-Augmented Generation (RAG) solutions, AI marketplaces, and secure AI-enabled services while collaborating closely with product, frontend, and platform engineering teams.

Key Responsibilities

AI Orchestration and Agent Development

• Design and develop orchestration frameworks for AI agents using Python-based technologies and cloud-native AI services.

• Develop, integrate, and maintain reusable AI capabilities, agent workflows, and third-party API integrations.

• Support the onboarding and lifecycle management of agent capabilities and automation services.

Advanced RAG and Cloud Integration

• Design, implement, and optimise Retrieval-Augmented Generation (RAG) architectures.

• Integrate Large Language Models (LLMs), embedding models, and enterprise knowledge sources within cloud environments.

• Manage retrieval strategies, context management, and performance optimisation for AI applications.

Platform and Marketplace Development

• Design and develop backend services supporting AI capability marketplaces and knowledge-sharing platforms.

• Enable secure publishing, versioning, management, and governance of datasets, AI agents, document-based chat applications, and reusable AI capabilities.

Backend and API Engineering

• Architect, develop, and maintain scalable backend services and APIs.

• Design and manage relational database solutions, including PostgreSQL, to support application data and workflow management.

• Ensure high availability, performance, maintainability, and scalability of backend systems.

Vector Search and Data Engineering

• Design and optimise vector search, retrieval systems, and search infrastructure.

• Manage vector databases, search platforms, and indexing strategies to improve retrieval accuracy, relevance, and performance.

Agent Observability and Evaluation

• Implement monitoring, telemetry, and observability capabilities for AI applications and agent workflows.

• Develop evaluation frameworks to assess AI outputs, application performance, reliability, and quality.

• Support initiatives to improve model performance and reduce inaccurate or undesired outputs.

AI Security and Governance

• Implement security controls for AI applications, including access controls, data protection measures, content filtering, and secure integration practices.

• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.

• Support the responsible use of AI technologies through risk management and governance frameworks.

Data Pipelines and Platform Support

• Design and maintain data ingestion, transformation, and processing pipelines supporting AI applications and knowledge systems.

• Support data preparation workflows and integration with vector databases and enterprise data platforms.

Cross-Functional Collaboration

• Work closely with frontend engineers, designers, product teams, and platform engineers to deliver end-to-end AI-enabled solutions.

• Participate in architecture reviews, technical discussions, and continuous improvement initiatives.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 5 years of software engineering experience with strong expertise in backend development, API design, and distributed systems architecture.

• Hands-on experience building AI-enabled applications using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent technologies.

• Experience working with managed Large Language Model (LLM) platforms and AI services.

• Strong familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Experience with AI services including AWS Bedrock, OpenSearch, or equivalent cloud-native AI technologies will be advantageous.

• Strong experience with PostgreSQL and relational database systems.

• Familiarity with vector database technologies, semantic search, and retrieval systems.

• Experience developing secure, scalable, and production-grade software solutions.

• Understanding of modern frontend technologies such as React and Next.js.

• Experience using AI-assisted software development tools while maintaining software quality, security, and maintainability standards.

Preferred Experience

• Experience with workflow automation platforms such as n8n, Flowise, or similar technologies.

• Experience with AI observability, monitoring, and evaluation tools.

• Experience working within environments requiring strict security, governance, privacy, or regulatory compliance standards.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

• Supervise testing and commissioning of electrical equipment on-site and manage the review and submission of site acceptance test reports.
• Review and interpret Single Line Diagrams and Electrical Schematic Drawings.
• Support electrical equipment installation inspections to ensure compliance with standards.
• Participate in site activities and meetings with clients and contractors.

Requirements:

• Diploma in Electrical Engineering.
• At least 3 years’ local experience in LV/MV electrical equipment installation, testing, commissioning, or maintenance within the built environment sector.
• Possess initiative and able to work in a fast-paced environment.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Job Description

Corebuild Solutions Pte. Ltd. is seeking a Mechanical Engineer (M&E Project Engineer) to support the planning, coordination and execution of renovation, fit-out and building services projects.

The successful candidate will be responsible for managing mechanical and electrical (M&E) works, coordinating project activities and ensuring successful project delivery in accordance with project requirements, quality standards and safety regulations.

Key Responsibilities

• Plan and coordinate M&E works for renovation and fit-out projects.
• Review technical drawings, shop drawings and project specifications.
• Coordinate with clients, consultants, subcontractors, suppliers and authorities.
• Supervise site activities and monitor project progress.
• Coordinate electrical, ACMV, plumbing, sanitary and CCTV infrastructure works.
• Prepare project documentation, technical submissions and progress reports.
• Attend project meetings and provide technical support to project teams.
• Monitor project schedules, quality standards and compliance requirements.
• Support testing, commissioning and handover of completed projects.
• Assist in procurement, cost control and project planning activities.

Requirements

• Degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering or related engineering discipline.
• Minimum 1 year of relevant experience in construction, renovation, M&E or building services projects preferred.
• Knowledge of ACMV, electrical, plumbing and building services systems will be advantageous.
• Ability to interpret engineering drawings and technical specifications.
• Good communication and coordination skills.
• Proficient in Microsoft Office applications.
• Knowledge of AutoCAD will be an advantage.