RPA & Agentic AI Developer (UiPath)

ABeam Consulting

Singapore

On-site

SGD 78,000 - 123,000

Full time

3 days ago

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Job summary

ABeam Consulting Singapore is seeking a skilled RPA/Agentic AI professional to deliver automation and AI-powered workflows for diverse clients. You will collaborate with customers to identify automation use cases, design agentic workflows, and translate business requirements into scalable automation solutions.

Join our global team to develop, test, deploy and document RPA solutions, while maintaining operations across onsite and remote engagements.

Qualifications

Degree in Computer Science or related discipline.
Minimum 1–2 years hands-on UiPath or other RPA experience.
Exposure to Agentic AI concepts and REST APIs is a plus.

Responsibilities

Collaborate with customers to identify and define agentic automation use cases within existing IT and business operations, including process optimization, redesign and reengineering.
Analyze business processes and design goal-driven agentic workflows, incorporating AI agents, RPA bots, and system integrations.
Gather business requirements and translate them into automation workflows, agent instructions, context design, and orchestration logic.
Design, develop, test, deploy and document RPA solutions and agentic AI workflows.
Create, develop and/or review key documentation including BRD, PDD, SDD, and agent design artefacts (e.g., agent goals, context, tools, human-in-the-loop interactions).
Deliver automation and Agentic AI solutions in both onsite and remote client engagements to drive successful adoption.
Apply best practices in RPA and Agentic Automation, ensuring solutions are efficient, reusable, scalable, maintainable and easy to understand.
Understand business processes from workflow diagrams and conceptualize them into automated and agentic solutions.
Develop and integrate supporting components such as APIs, scripts, and application services to enable automation and agent orchestration.
Create and document test procedures, scenarios and cases for both deterministic workflows and AI-driven outputs (pre-UAT and UAT).
Perform end-to-end testing across environments, including AI output validation and prompt evaluation.
Monitor and maintain RPA processes and AI agents, including performance tracking, accuracy, and reliability.
Provide L1–L3 support for existing automations and AI solutions, including prompt tuning, agent optimization, and incident resolution.
Analyse and determine root causes of incidents across both system logic and AI behavior, and provide timely solutions within SLA.
Accountable for assigned tasks including fixes, enhancements, and delivery of support.
Adhere to guidelines for Incident, Problem and Change Management.