Total 12,913 job vacancies in Singapore

Job Summary

We are seeking motivated Application Engineers to develop and deliver application solutions across ABI, SLT, and ATE platforms for our customers, primarily in Asia and the USA. You will work closely with cross-functional teams to define technical requirements, drive project execution, and ensure successful deployment and sustainment of solutions.

Key Responsibilities

• Develop and implement application solutions for ABI, SLT, and ATE platforms 
• Gather and define customer technical requirements, including scoping and quotation support 
• Collaborate with the Engineering and Production Centers to ensure timely and high-quality delivery 
• Manage application board design, development, assembly, and validation 
• Develop, debug, and validate test programs in accordance with customer specifications 
• Lead solution release, customer acceptance, and production roll-out activities 
• Provide sustaining engineering support to ensure long-term performance and reliability 
• Coordinate cross-functional teams and stakeholders to drive successful project delivery

Requirements

• Bachelor’s Degree in Electronics Engineering or a related discipline 
• Minimum 5 years of relevant experience in application engineering, test development, or related field 
• Good understanding of analog and digital electronics, metrology, and semiconductor test processes 
• Experience in project management, including resource planning, budgeting, and reporting 
• Strong communication and interpersonal skills; able to operate effectively in an international environment 
• Fluent in English (spoken and written) 
• Prior experience in Semiconductor industry, ATE, ABI, or SLT environments would be an advantage

Optional:

• Exposure to customer-facing or field application roles 
• Experience working in global or matrix organizations 
• Willingness to travel for customer support and deployment
  

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1765450 Pinky Lim (Lim Lee Phing)

About InterOpera

InterOpera is pioneering intelligence infrastructure to eliminate key enterprise pain points, driving cost efficiency, profitability, and scalable growth. Through our real-time decision-making capabilities, we empower clients to identify challenges, generate actionable insights, implement solutions, and track outcomes to ensure sustained success. Our solutions span sales optimization, risk management, and energy efficiency, helping businesses harness data-driven strategies and seamless automation to enhance operational resilience and long-term value creation.

We're looking for a Senior Software Engineer, AI-Native Enterprise Platform who is passionate about building production-grade AI systems, thrives in a fast-paced startup environment, and wants to shape the future of enterprise decision-making through agentic AI, RAG, and modern software engineering. We’d love to hear from you.

Responsibilities

AI-Native Product Engineering

• Architect and ship production-grade multi-step AI agents with planning, memory, and tool usage capabilities to automate enterprise workflows

• Design, build, and operate Retrieval-Augmented Generation (RAG) pipelines over proprietary enterprise datasets

• Evaluate, deploy, and optimize small/specialized LLMs (sLLMs), including self-hosted deployments for cost efficiency, latency optimization, and data residency requirements

• Develop evaluation frameworks to measure AI performance, including faithfulness, hallucination rates, latency, and instruction-following accuracy

• Integrate frontier AI models such as OpenAI, Anthropic Claude, and Google models while helping define long-term AI architecture strategies

Design & Development

• Build and maintain high-performance backend services using Python and Golang or Java

• Develop modern, responsive enterprise applications using React.js and Next.js

• Own features end-to-end, from architecture and implementation through deployment and production support

• Design scalable distributed systems that are secure, observable, and performant

• Drive cloud deployments using AWS, GCP, or Azure with strong CI/CD, Infrastructure as Code (IaC), monitoring, and operational excellence

Quality & Best Practices

• Write clean, maintainable, and well-tested code with strong focus on performance, scalability, and reliability

• Establish engineering best practices around testing, deployment, observability, and documentation

• Continuously evaluate emerging technologies and AI advancements to improve product capabilities

• Proactively identify opportunities to improve system performance, engineering productivity, and platform resilience
  

Requirements

• 1 year of professional software engineering experience building and operating enterprise-scale software systems

• Proven production experience developing AI agent systems involving multi-step reasoning, planning, memory, and tool usage

• Strong hands-on experience with Python and either Golang or Java

• Production experience with Retrieval-Augmented Generation (RAG), including vector databases, embedding pipelines, hybrid search, and retrieval optimization

• Solid frontend development experience using React.js, Next.js, or equivalent frameworks

• Strong understanding of distributed systems architecture and software scalability

• Hands-on experience building and deploying agentic AI systems using frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent orchestration frameworks

• Experience working with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, or similar technologies

• Experience deploying, fine-tuning, or optimizing open-source LLMs is highly preferred

• Knowledge of AI evaluation methodologies, prompt testing, model benchmarking, and hallucination measurement is a strong advantage

Work Environment

• High-Intensity Environment: Fast-paced startup with demanding workload and potential weekend work when needed

• Flexible Hours: flexibility is required for project deadlines and global team collaboration

• Regional Collaboration: Work closely with colleagues, clients, and partners across Asia
  
  

What We’re Looking For

• Results-Oriented: Technical decision-making ability considering business impact

• Initiative: Self-starter with strong decision-making and execution capabilities

• Adaptability: Flexibility to handle changing priorities and requirements

• Growth Mindset: Commitment to continuous learning and improvement

• Collaboration: Effective communication with diverse, multicultural team members

What We Offer

• Competitive salary commensurate with experience, plus performance-based bonus

• Meaningful equity participation with ownership in the company's future growth

• Direct ownership of an AI-Native enterprise platform powering critical business decisions

• Opportunity to work alongside a senior, ambitious, and high-performing engineering team

• Learning budget for conferences, courses, certifications, books, and professional development

• Modern technology stack and the freedom to make impactful architectural decisions

• Significant visibility and measurable impact on products used by enterprise clients across the region

Join a Semi-Conductor Company as a Test Operator supporting performance testing and troubleshooting of server systems and rack-mounted products.

Responsibilities

• Set up, test, and troubleshoot server systems and rack-mounted products to ensure operational functionality
• Execute and document testing procedures and results accurately according to work instructions
• Support packing, labeling, and shipping activities to facilitate smooth production flow
• Assist in BIOS, burn-in, pressure testing, and other technical testing activities as needed
• Follow established testing processes, safety standards, and operational procedures to maintain product quality
• Maintain cleanliness and organization of the work area by applying good housekeeping and 5S standards
• Work effectively in shift schedules as required by operational needs

Required competencies and certifications

• Physically fit and healthy to perform job duties safely
• At least 1-2 years of experience in manufacturing, testing, or production environments
• Basic computer and technical knowledge to operate testing equipment and record results

Preferred competencies and qualifications

• Technical school, vocational school, or high school diploma and above
• Technical background or prior experience in server testing

Other Information

• Site Location: East of Singapore
• Includes shift work

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

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

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

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

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.

Deals with clients,designers, consultants and contractors, supervies and implements projects fromstart to the completion and handover.

- Perform preventive andcurative Electrical and instrument maintenance.

- Project planning &coordination including preparation of drawing and explain to team.

- Procurement andscheduling of electrical works.

- Settle issues onsystems after handover during the defects and liabilities period.

Supervisesduring the construction stage from start to the completion and handover of theproject.

-Minimum Degree in Engineering or similar field its equivalent.

-Good interpersonal skills and pro-active in problem solving.

-Proficient in Microsoft office - Word, Excel & Powerpoint.

Knowledgein other design related software such as Autocad and Autocad 3Dmax.

-Can work under pressure and team player.

-Able to work long hours due to project urgency if needed.

- Qualityfocused and ability to meet deadlines in fast-paced project environment.

-Ad-hoc duties