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Mid-Level Automation & AI Developer

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Mid-Level Automation & AI Developer

Quanton Asia Sdn Bhd

Mid-Level Automation & AI Developer

Skills

Google Cloud PlatformDockerPythonGitMachine LearningAIAWSGitHubNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

MYR 84,000 – MYR 96,000 / year

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Hybrid

Published on:

4 September 2026

What they need


You’ve spent years in UiPath and Automation Anywhere building bots that actually work in production. If you’ve already started exploring AI agents and LLMs, great — that’s a real bonus. If you haven’t, don’t let that stop you applying. Quanton Asia is hiring a Mid-Level Automation & AI Developer where strong RPA credentials are what counts, and the AI journey is something we’ll take together.

We’re an AI and automation consultancy — certified partners with UiPath, Automation Anywhere, and Microsoft — delivering real digital transformation across Australia and New Zealand. Your RPA depth is the foundation we’re hiring for. Any AI experience you bring is a head start, not a prerequisite. What we need is someone who is proud of their automation craft and genuinely curious about where AI can take it — we’ll back you with the learning, mentorship, and real client problems to grow from there.

What You'll Do

  • Design and build end-to-end RPA solutions using both UiPath and Automation Anywhere — you know both platforms well and can move between them depending on what the client needs
  • Learn to develop AI agents and multi-agent workflows — from prompt engineering and tool calling to orchestration and memory management — with support and structured learning from the team
  • Work towards integrating AI/ML capabilities (LLMs, document understanding, NLP, vision) into automation pipelines as your AI skills develop
  • Write clean, production-grade Python to build agent logic, API integrations, custom tools, and automation scripts
  • Analyse client business processes and translate them into scalable automation and AI-powered solutions
  • Own your delivery — from design through to UAT and production go-live
  • Create technical documentation: PDDs, SDDs, architecture diagrams, and test scripts
  • Collaborate directly with client stakeholders and explain complex AI behaviour in plain language
  • Contribute to pre-sales scoping, PoC builds, and proposals
  • Stay current with the rapidly evolving AI ecosystem and share knowledge internally

What We're Looking For

  • 3–6 years of hands-on RPA development with both UiPath and Automation Anywhere — experience across both platforms is required, not just one
  • Proven delivery of full-cycle automation projects — you've seen a bot or agent go from design to production
  • Strong process analysis mindset — you can map a workflow before you touch a keyboard
  • Solid exception handling, logging, and production-grade development practices
  • Experience integrating with REST APIs, databases, and third-party systems
  • Familiarity with Agile/Scrum delivery
  • Excellent English communication — written and verbal
  • Client-facing or consulting experience is a plus
  • UiPath and Automation Anywhere certification — holding active certifications in both platforms is strongly preferred and signals the depth of expertise we’re looking for
  • Experience with cloud platforms (Azure, GCP, or AWS) in the context of AI/ML deployment is a plus

Nice to Have

  • Python development skills — you write clean, well-structured code, not just scripts
  • Exposure to Power Automate or M365 automation
  • Knowledge of containerisation (Docker) and basic DevOps for agent deployment
  • GitHub/version control discipline in a team environment
  • Experience with Microsoft Copilot Studio, Azure AI Foundry, or Google Agent Development Kit (ADK)
  • Some familiarity with LLM concepts (prompt engineering, tool calling, context windows, agent loops) — even from self-study or experimentation — is a plus
  • Any hands-on exposure to AI agent development — agentic frameworks, tool use, RAG pipelines, or LLM orchestration — is a genuine bonus, but not required

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