2,468 Rpa Engineer jobs in Singapore

JOB RESPONSIBILITIES

· Lead the analysis, design, development, testing, training, and deployment of RPA solutions to automate business processes and meet operational goals.

· Provide ongoing support and maintenance for deployed automation solutions, ensuring they remain effective and up to date.

· Stay abreast of the latest trends and advancements in RPA technologies, low-code platforms, and digital tools.

· Identify new opportunities for automation and recommend enhancements to existing processes using modern RPA capabilities.

· Collaborate with stakeholders to understand business needs and translate them into scalable automation solutions.

· Perform other duties and responsibilities as assigned to support the IT and business transformation agenda.

JOB REQUIREMENTS

· Degree or Diploma in Engineering, Information Technology, or a related field.

· 3 years of hands-on experience with UiPath; UiPath certification is highly desirable.

· Familiarity with Microsoft AX Dynamics 2012, Microsoft PowerApps, and Microsoft Power Automate is a strong advantage.

· Ability to work independently while also being a collaborative team player.

· Eagerness to learn and share knowledge, with a proactive approach to problem-solving.

· Interest and adaptability in working with low-code platforms and enterprise systems.

Working Location: Singapore

Syahirah Binte Ahmad Ja'afar (R22105331)
JAC Recruitment Pte. Ltd. (90C3026)

As an Entry-Level RPA & AI Engineer focused on practical automation, you will translate real business challenges into scalable, hybrid AI-RPA solutions. Working alongside experienced AI practitioners, RPA architects, and cross-functional stakeholders, you will:

1. Understand Business Needs

o Partner with stakeholders (Field Service, Sales, Operations) to gather requirements, define goals, and map out where AI-powered decisioning and RPA bots can create the greatest impact—such as automating service ticket routing, parts ordering, or routine report generation.

2. Select & Configure Models and Bots

o Evaluate pre-built AI/ML offerings (NLP, computer vision, predictive analytics) and RPA components.

o Customize settings, prompts, or pipelines to fit specific use cases—e.g., configuring an AI sentiment model to classify customer emails and designing a corresponding RPA workflow to update tickets in the CRM.

3. Prototype & Test Integrated Solutions

o Quickly assemble proof-of-concepts using low-code platforms (e.g., Power Automate AI Builder, UiPath StudioX) or lightweight Python scripts.

o Demonstrate end-to-end automation—such as using an AI model to extract key fields from incoming documents and then triggering an RPA bot to populate those fields into internal systems.

4. Collaborate on Implementation

o Work with software developers and RPA teams to embed AI APIs into automation scripts, ensuring seamless data flows and robust error handling.

o Participate in code reviews and design sessions to align on best practices for modular, maintainable workflows.

5. Validate, Iterate & Improve

o Measure solution impact against KPIs—accuracy of AI classification, bot success rate, time saved, user satisfaction.

o Solicit feedback, refine AI prompts, adjust thresholds, enhance bot logic, and retrain models as needed to drive continuous improvement.

6. Document & Train End Users

o Create step-by-step guides and video demonstrations for internal users to understand both the AI outputs and RPA processes.

o Conduct training sessions and “lunch-and-learn” workshops to foster broader adoption of automation tools.

7. Monitor Production Automations

o Track automated solution performance—bot run logs, AI model drift, exception rates—and collaborate with support teams to remediate issues promptly.

o Generate periodic reports summarizing usage metrics, ROI, and suggested next phases for scaling.

8. Stay Informed & Advise on Strategy

o Keep up with emerging AI frameworks, RPA trends, and best practices.

o Recommend new features or services (e.g., next-gen conversational AI, cognitive document processing, intelligent process mining) that could further enhance Field Service operations.

This role is perfect for someone who’s eager to make an immediate business impact by applying AI and RPA—no deep algorithm-building required—while gaining hands-on experience with real-world deployments. You will develop a broad skill set spanning low-code automation, cloud AI services, and process optimization methodologies.

Requirements:

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

• Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, or scikit-learn is a plus).

• Solid grasp of core AI/ML concepts (algorithms, evaluation metrics, overfitting/underfitting).

• Familiarity with RPA fundamentals—basic understanding of how to design, test, and deploy bots using platforms like Power Automate or UiPath.

• Eagerness to learn new tools and frameworks; prior professional experience is helpful but not strictly required.

• Excellent problem-solving mindset, logical thinking, and a collaborative spirit.

Strongly Desired:

• Hands-on experience (academic or personal projects) with low-code/no-code RPA platforms (e.g., building simple bots to automate desktop tasks or data extraction).

• Data analytics experience—comfort working with datasets (CSV, SQL) to prepare training data or evaluate model performance.

• Exposure to cloud services (Azure, AWS, or GCP), especially AI/ML offerings (Cognitive Services, SageMaker, etc.).

• Knowledge of version control systems (Git) and basic CI/CD concepts (e.g., pipelines for deploying Python scripts or RPA packages).

As an Entry-Level RPA & AI Engineer focused on practical automation, you will translate real business challenges into scalable, hybrid AI-RPA solutions. Working alongside experienced AI practitioners, RPA architects, and cross-functional stakeholders, you will:

1. Understand Business Needs

o Partner with stakeholders (Field Service, Sales, Operations) to gather requirements, define goals, and map out where AI-powered decisioning and RPA bots can create the greatest impact—such as automating service ticket routing, parts ordering, or routine report generation.

2. Select & Configure Models and Bots

o Evaluate pre-built AI/ML offerings (NLP, computer vision, predictive analytics) and RPA components.

o Customize settings, prompts, or pipelines to fit specific use cases—e.g., configuring an AI sentiment model to classify customer emails and designing a corresponding RPA workflow to update tickets in the CRM.

3. Prototype & Test Integrated Solutions

o Quickly assemble proof-of-concepts using low-code platforms (e.g., Power Automate AI Builder, UiPath StudioX) or lightweight Python scripts.

o Demonstrate end-to-end automation—such as using an AI model to extract key fields from incoming documents and then triggering an RPA bot to populate those fields into internal systems.

4. Collaborate on Implementation

o Work with software developers and RPA teams to embed AI APIs into automation scripts, ensuring seamless data flows and robust error handling.

o Participate in code reviews and design sessions to align on best practices for modular, maintainable workflows.

5. Validate, Iterate & Improve

o Measure solution impact against KPIs—accuracy of AI classification, bot success rate, time saved, user satisfaction.

o Solicit feedback, refine AI prompts, adjust thresholds, enhance bot logic, and retrain models as needed to drive continuous improvement.

6. Document & Train End Users

o Create step-by-step guides and video demonstrations for internal users to understand both the AI outputs and RPA processes.

o Conduct training sessions and “lunch-and-learn” workshops to foster broader adoption of automation tools.

7. Monitor Production Automations

o Track automated solution performance—bot run logs, AI model drift, exception rates—and collaborate with support teams to remediate issues promptly.

o Generate periodic reports summarizing usage metrics, ROI, and suggested next phases for scaling.

8. Stay Informed & Advise on Strategy

o Keep up with emerging AI frameworks, RPA trends, and best practices.

o Recommend new features or services (e.g., next-gen conversational AI, cognitive document processing, intelligent process mining) that could further enhance Field Service operations.

This role is perfect for someone who’s eager to make an immediate business impact by applying AI and RPA—no deep algorithm-building required—while gaining hands-on experience with real-world deployments. You will develop a broad skill set spanning low-code automation, cloud AI services, and process optimization methodologies.

Requirements:

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

• Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, or scikit-learn is a plus).

• Solid grasp of core AI/ML concepts (algorithms, evaluation metrics, overfitting/underfitting).

• Familiarity with RPA fundamentals—basic understanding of how to design, test, and deploy bots using platforms like Power Automate or UiPath.

• Eagerness to learn new tools and frameworks; prior professional experience is helpful but not strictly required.

• Excellent problem-solving mindset, logical thinking, and a collaborative spirit.

Strongly Desired:

• Hands-on experience (academic or personal projects) with low-code/no-code RPA platforms (e.g., building simple bots to automate desktop tasks or data extraction).

• Data analytics experience—comfort working with datasets (CSV, SQL) to prepare training data or evaluate model performance.

• Exposure to cloud services (Azure, AWS, or GCP), especially AI/ML offerings (Cognitive Services, SageMaker, etc.).

• Knowledge of version control systems (Git) and basic CI/CD concepts (e.g., pipelines for deploying Python scripts or RPA packages).

As an Entry-Level RPA & AI Engineer focused on practical automation, you will translate real business challenges into scalable, hybrid AI-RPA solutions. Working alongside experienced AI practitioners, RPA architects, and cross-functional stakeholders, you will:

1. Understand Business Needs

o artner with stakeholders (Field Service, Sales, Operations) to gather requirements, define goals, and map out where AI-powered decisioning and RPA bots can create the greatest impact—such as automating service ticket routing, parts ordering, or routine report generation.

2. S lect & Configure Models and Bots

o Evaluate pre-built AI/ML offerings (NLP, computer vision, predictive analytics) and RPA components.

o Customize settings, prompts, or pipelines to fit specific use cases—e.g., configuring an AI sentiment model to classify customer emails and designing a corresponding RPA workflow to update tickets in the CRM.

3. P ototype & Test Integrated Solutions

o Quickly assemble proof-of-concepts using low-code platforms (e.g., Power Automate AI Builder, UiPath StudioX) or lightweight Python scripts.

o Demonstrate end-to-end automation—such as using an AI model to extract key fields from incoming documents and then triggering an RPA bot to populate those fields into internal systems.

4. C llaborate on Implementation

o Work with software developers and RPA teams to embed AI APIs into automation scripts, ensuring seamless data flows and robust error handling.

o Participate in code reviews and design sessions to align on best practices for modular, maintainable workflows.

5. Validate, Iterate & Improve

o Measure solution impact against KPIs—accuracy of AI classification, bot success rate, time saved, user satisfaction.

o S licit feedback, refine AI prompts, adjust thresholds, enhance bot logic, and retrain models as needed to drive continuous improvement.

6. Document & Train End Users

o Create step-by-step guides and video demonstrations for internal users to understand both the AI outputs and RPA processes.

o Conduct training sessions and "lunch-and-learn" workshops to foster broader adoption of automation tools.

7. Monitor Production Automations

o Track automated solution performance—bot run logs, AI model drift, exception rates—and collaborate with support teams to remediate issues promptly.

o Gen rate periodic reports summarizing usage metrics, ROI, and suggested next phases for scaling.

8. Stay Informed & Advise on Strategy

o Keep up with emerging AI frameworks, RPA trends, and best practices.

o Recommend new features or services (e.g., next-gen conversational AI, cognitive document processing, intelligent process mining) that could further enhance Field Service operations.

This role is perfect for someone who's eager to make an immediate business impact by applying AI and RPA—no deep algorithm-building required—while gaining hands-on experience with real-world deployments. You will develop a broad skill set spanning low-code automation, cloud AI services, and process optimization methodologies.

Requirements:

What We're Looking For

• Bache or's degree in Computer Science, Engineering, Mathematics, or a related field.

• S rong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, or scikit-learn is a plus).

• S lid grasp of core AI/ML concepts (algorithms, evaluation metrics, overfitting/underfitting).

• F miliarity with RPA fundamentals—basic understanding of how to design, test, and deploy bots using platforms like Power Automate or UiPath.

• Eag rness to learn new tools and frameworks; prior professional experience is helpful but not strictly required.

• E cellent problem-solving mindset, logical thinking, and a collaborative spirit.

Strongly Desired:

• H nds-on experience (academic or personal projects) with low-code/no-code RPA platforms (e.g., building simple bots to automate desktop tasks or data extraction).

• D ta analytics experience—comfort working with datasets (CSV, SQL) to prepare training data or evaluate model performance.

• Exp sure to cloud services (Azure, AWS, or GCP), especially AI/ML offerings (Cognitive Services, SageMaker, etc.).

• K owledge of version control systems (Git) and basic CI/CD concepts (e.g., pipelines for deploying Python scripts or RPA packages).

Job Responsibilities:

• Develop enterprise-level Java applications used by over 200 banks and financial institutions for authentication, authorization, and single sign-on.
• Build and maintain front-end interfaces with ReactJS, AngularJS, and Google Web Toolkit.
• Analyze business requirements and design software architecture using design patterns to ensure scalability and ease of maintenance.
• Investigate and resolve complex issues that Level 1 and 2 support teams cannot address, offering recommendations to identify root causes.
• Write clean, well-documented code that adheres to industry best practices.

Job Requirements:

• Degree in Computer Science or Engineering with relevant programming experience.
• 5 to 10 years of experience in a similar role.
• Strong analytical and problem-solving skills.
• Excellent communication skills for effective collaboration with developers, QA teams, team leads, and stakeholders.
• Proficiency in Java and at least one or more mainstream programming languages like TypeScript/JavaScript, C/C++, or C#.
• Expertise in Tomcat, Web Services, REST APIs, Docker, and Kubernetes/OpenShift.
• Experience with databases such as MySQL, Oracle, SQL Server, or Redis.
• Knowledge of software architecture, design patterns, and best coding practices.
• Ability to work independently and collaboratively in a team environment.
• Willingness to learn and adapt to new technologies and skills.

Apply Now

Join us and enhance your software engineering skills in a supportive learning environment. You'll gain expertise in software architecture, design patterns, best coding practices, and proper documentation.

As a Software Engineer with a strong attention to detail, you would be passionate about software development and delivering excellence. You should be able to focus on specific requirements while also considering end-to-end project strategies. You would work with all project stakeholders.

Key Responsibilities:

• Experience working in Java/.NET Core with API development and SQL databases.
• Minimum 7+ years of experience as a Frontend/Backend developer with strong object-oriented programming skills.
• Experience with Unit Testing frameworks like nUnit, xUnit, or MsTest, and good knowledge of various test cases including automation.
• Produce quality code adhering to performance, readability, and reusability best practices.
• Optimize applications for maximum speed and scalability.
• Implement Sitecore SXA and Habitat Components, integrating with external systems, including database design, data access, and ORMs, would be a plus.
• Develop scalable, cloud-based solutions with consideration for security and performance.

Join to apply for the Software Engineer/Senior Software Engineer role at PSA Singapore

Continue with Google Continue with Google

Join to apply for the Software Engineer/Senior Software Engineer role at PSA Singapore

We’re looking for Software Engineers to join our Agile Product Delivery teams in Singapore. In this role,
you’ll work as part of balanced product teams to build, deliver and maintain the next generation of solutions
that deliver class-leading capabilities for the world's largest fully-automated container port in Tuas, as well
as innovative cargo solutions for the supply chain ecosystem. We are looking for people passionate about technology
and applying the best software engineering practices to solve complex business problems, adopting principles of
User-centred Design, Extreme Programming and Lean Product Management. No matter your current level of experience,
you will also have opportunities to develop and hone your technical skills and expertise.

Your role will encompass the below :

•Hands-on development of clean, efficient and testable code, usually in a pair programming
environment and using agile best practices such as Test Driven Development (TDD) and
continuous integration/continuous delivery (CI/CD)
•Demonstrate empathy to understand business needs to ensure the most important user stories
are delivered first
•Embrace a culture of feedback by giving and soliciting feedback from other designers,
managers, stakeholders and your cross-functional team to continually raise the bar on quality

Requirements

•Diploma or Degree in Computer Science or related fields
•A strong interest in software engineering using agile methodologies
•A growth mindset to learn new skills and appreciate business domain
•Strong communication and interpersonal skills
•Excellent analytical and problem-solving skills

What is highly valued and will be an advantage

Only shortlisted candidates will be notified.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Truck Transportation

Referrals increase your chances of interviewing at PSA Singapore by 2x

Get notified about new Senior Software Engineer jobs in Singapore, Singapore .

South East Community Development Council, Singapore 1 week ago

Changi, East Region, Singapore 9 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

As a Software Engineer with a strong attention to detail, you would be passionate about software development and delivering excellence. You should be able to focus on specific requirements while also considering end-to-end project strategies. You would work with all project stakeholders.

Key Responsibilities:

• Experience working in Java/.NET Core with API development and SQL databases.
• Minimum 7+ years of experience as a Frontend/Backend developer with strong object-oriented programming skills.
• Experience with Unit Testing frameworks like nUnit, xUnit, or MsTest, and good knowledge of various test cases including automation.
• Produce quality code adhering to performance, readability, and reusability best practices.
• Optimize applications for maximum speed and scalability.
• Implement Sitecore SXA and Habitat Components, integrating with external systems, including database design, data access, and ORMs, would be a plus.
• Develop scalable, cloud-based solutions with consideration for security and performance.

Software Engineer/Senior Software Engineer

Join to apply for the Software Engineer/Senior Software Engineer role at PSA Singapore

Continue with Google Continue with Google

Software Engineer/Senior Software Engineer

Join to apply for the Software Engineer/Senior Software Engineer role at PSA Singapore

We’re looking for Software Engineers to join our Agile Product Delivery teams in Singapore. In this role,
you’ll work as part of balanced product teams to build, deliver and maintain the next generation of solutions
that deliver class-leading capabilities for the world's largest fully-automated container port in Tuas, as well
as innovative cargo solutions for the supply chain ecosystem. We are looking for people passionate about technology
and applying the best software engineering practices to solve complex business problems, adopting principles of
User-centred Design, Extreme Programming and Lean Product Management. No matter your current level of experience,
you will also have opportunities to develop and hone your technical skills and expertise.

Your role will encompass the below :

•Hands-on development of clean, efficient and testable code, usually in a pair programming
environment and using agile best practices such as Test Driven Development (TDD) and
continuous integration/continuous delivery (CI/CD)
•Demonstrate empathy to understand business needs to ensure the most important user stories
are delivered first
•Embrace a culture of feedback by giving and soliciting feedback from other designers,
managers, stakeholders and your cross-functional team to continually raise the bar on quality

Requirements

•Diploma or Degree in Computer Science or related fields
•A strong interest in software engineering using agile methodologies
•A growth mindset to learn new skills and appreciate business domain
•Strong communication and interpersonal skills
•Excellent analytical and problem-solving skills
What is highly valued and will be an advantage

Only shortlisted candidates will be notified.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Truck Transportation

Referrals increase your chances of interviewing at PSA Singapore by 2x

Get notified about new Senior Software Engineer jobs in Singapore, Singapore .

Project Intern, Digital Innovations & Solutions (Full Stack Developer)

Web Frontend Engineer(Work Location: Remote in Taiwan)

Back-end Software Engineer (On-site 202506)

South East Community Development Council, Singapore 1 week ago

Changi, East Region, Singapore 9 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.