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RPA UiPath Developer

Job in Singapore, Singapore
Listing for: Abeam-Consulting-
Full Time position
Listed on 2026-09-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 90000 SGD Yearly SGD 60000.00 90000.00 YEAR
Job Description & How to Apply Below

About Us

ABeam Consulting is a global professional services company that specializes in delivering business transformation and technology solutions to clients across a wide range of industries. With a global presence and over 9000 employees worldwide we aim to be the transformation partner of choice for all of our clients.

About the Team

The Agentic Intelligence (AI) team is leading the way in providing top of the line RPA solutions to our clients. In recognition of our efforts in pushing automation solutions, UiPath has also recognized Abeam Consulting Singapore as a Diamond partner. Apart from this, the team is constantly expanding its capabilities in order to provide a wider suite of AI solutions to our clients and aid them on their transformation journey.

Responsibilities:
  • Serve in different capacities including Business Process Analyst, RPA developer, Agentic AI developer, Support Engineer across multiple and concurrent assignments.
  • Collaborate with customers to identify, assess 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.
Requirements:
  • Degree in in Computer Science or related discipline.
  • Minimum 1–2 years of hands‑on experience in UiPath or other RPA platforms, with exposure to AI-driven automation preferred.
  • Familiarity with agent orchestration and LLM frameworks such as Lang Chain, Lang Graph and Lang Smith for building, managing and evaluating agentic workflows is an added advantage.
  • Strong understanding of automation lifecycle and software development practices.
  • Understanding or exposure to Agentic AI concepts, including:
    • Goal-oriented execution
    • Multi-step reasoning and planning
    • Tool usage and orchestration
    • Human-in-the-loop design
  • Prior experience or exposure to software development and system integration, including building APIs, services, or applications (e.g., .NET, C#, Python, web applications) to support automation and agent orchestration is…
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