Full Stack Engineer (RPA & AI Integration)

Weare seeking a Software Engineer to design, develop, and support automation andAI-driven solutions across Robotic Process Automation (RPA), Large LanguageModels (LLMs), and SG Government Technology Stack (SGTS) platform.

Thisrole requires strong technical capability in RPA development, AI/LLMintegration, and no/low-code tool configuration. The successful candidate willcontribute to end-to-end workflow automation initiatives that modernise legacyprocesses, enhance service delivery, and drive operational efficiency throughthe integration of automation, AI, and Government digital technologies.

WHAT WE OFFER

Thisrole offers the opportunity to work at the intersection of automation, AI, andGovernment digital platforms. You will contribute to high-impact initiativesthat enhance operational efficiency and accelerate digital transformationacross the organisation.

Key Responsibilities

RPA Development and Automation Engineering

. Developand enhance automation workflows using RPA tools such as UiPath and PowerAutomate, ensuring robustness, scalability, and maintainability.

. Designreusable automation components and implement structured exception handling,logging, and monitoring mechanisms in accordance with enterprise standards.

. Collaboratewith stakeholders to translate business requirements into automated workflows,ensuring alignment with operational objectives and governance standards.

AI and LLM Integration

. IntegrateAI and LLMs such as OpenAI, Llama and other enterprise AI platforms intoworkflows to enable intelligent automation use cases including documentprocessing, summarisation, classification, reconciliation, and decisionsupport.

. Developand implement AI agents that work seamlessly with automation workflows toenhance efficiency and reduce manual intervention.
Key Responsibilities

RPA Development and Automation Engineering

. Develop and enhance automation workflows using RPA tools such as UiPath and Power Automate, ensuring robustness, scalability, and maintainability.

. Design reusable automation components and implement structured exception handling, logging, and monitoring mechanisms in accordance with enterprise standards.

. Collaborate with stakeholders to translate business requirements into automated workflows, ensuring alignment with operational objectives and governance standards.

AI and LLM Integration

. Integrate AI and LLMs such as OpenAI, Llama and other enterprise AI platforms into workflows to enable intelligent automation use cases including document processing, summarisation, classification, reconciliation, and decision support.

. Develop and implement AI agents that work seamlessly with automation workflows to enhance efficiency and reduce manual intervention.

. Evaluate lightweight Small Language Model (SLM) or on-premise deployment options and integration where possible (Llama v3.3), ensuring alignment with security and compliance requirements.

. Ensure AI implementations adhere to organisational AI governance, data protection, and secure deployment standards.

Central Platforms and Low-Code Tool Enablement

. Onboard, configure, script, and integrate centrally provisioned Government tools and platforms for processes, including but not limited to SGTS products such as OPUS, GatherSG, GovWallet, FormSG, LetterSG, Plumber, Postman, etc.

. Leverage available documentation and onboarding guidance to configure and integrate these tools into end-to-end digital workflows.

. Ensure interoperability between RPA solutions, AI components, and central platforms to deliver seamless and reliable user experiences.

UX Collaboration and Interface Enablement

. Support the development of Customer Journey Maps and service blueprints in collaboration with the Designer.

. Translate user needs and business requirements into intuitive UI concepts on information portals, portlets, dashboards and management reports.

Operations and Day 2 Support

. Provide operational support and enhancements for deployed automation and AI solutions.

. Troubleshoot workflow failures, integration issues, and AI response inconsistencies across RPA, LLMs, and central platforms.

. Implement continuous improvement practices to enhance system resilience, performance, and user adoption.

. Support lifecycle management activities including upgrades, patching coordination, and documentation updates.

. Maintain technical documentation, solution architecture diagrams, and operational runbooks to support maintainability and knowledge transfer.

Technical Expertise

. Experience with UiPath and/or Power Automate development

. Familiarity with API integrations and system-to-system orchestration

. Working knowledge of AI/LLMs and prompt engineering fundamentals

. Understanding of automation lifecycle management and DevOps principles

Professional Experience

. At least 2 years of software engineering or automation development experience

. Experience delivering end-to-end automation solutions in enterprise or Government environments

. Exposure to AI-enabled automation and use cases

Skills and Competencies

. Strong analytical and troubleshooting skills

. Ability to work independently while collaborating across multidisciplinary teams

. Good documentation and communication skills

. Structured and methodical approach to workflow design

Preferred Qualifications

. UiPath Certified RPA Associate or Advanced RPA Developer certification

. Microsoft Power Platform Developer or Power Automate certification

. Experience integrating LLMs via Azure OpenAI, AWS Bedrock, or equivalent enterprise AI platforms

. Exposure to Government or secure on-premise deployment environments

. Familiarity with AI governance, data protection, or secure SDLC practices in regulated environments

. Basic knowledge of containerisation or lightweight model hosting (e.g., Docker-based SLM deployment)