RPA Consultants (Power Automate) – Indonesia

Location: Indonesia

• 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.

• 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 LangChain, LangGraph and LangSmith 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 an added advantage.
• Ability to translate business requirements into RPA and agentic automation solutions.
• Experience in Intelligent Document Processing (IDP) using UiPath Document Understanding or similar solutions is an advantage.
• Knowledge and experience in integrating applications using REST APIs, web services, and working with databases (RDBMS / NoSQL/MongoDB).
• Exposure to GenAI / LLM concepts, including prompt engineering, structured outputs, or AI-assisted workflows is a strong advantage.
• Experience working with Agile and/or Waterfall methodologies.
• Prior experience with other automation tools (Power Automate, Blue Prism, Automation Anywhere, etc.) is a plus.
• UiPath Automation Developer Professional (ADP) certification (or ability to obtain within 3 months).
• Ability to work well within a multi-disciplinary team structure, but also independently.
• Strong analytical and problem-solving skills across both rule-based and AI-driven scenarios.
• Meet agreed deadlines, with demonstrable Productivity.
• Strong interpersonal, verbal and written communication skills.
• Ability to work in culturally diverse and inclusive environments.
• Flexibility in scheduling with willingness to work extra non-standard hours if required.
• Initiate, proactive and willingness to self-learn existing and new technology.
• Willing and able to travel 50% or more (domestic, regional and international).