Artificial Intelligence Engineer

Position Description

As an AI Enablement Engineer , you will own the end-to-end design, deployment, and continuous improvement of AI-powered systems that transform how Pluang operates — from automating manual workflows to building intelligent tools that help our teams make faster, better-informed decisions. You will be the technical engine behind Pluang's enterprise AI strategy, turning business problems into production-grade AI solutions across marketing, operations, customer experience, and beyond.

You will work at the intersection of engineering and business , leading Pluang's AI Champions Network and serving as the primary driver of organisation-wide AI adoption. You will collaborate closely with product, data, marketing, and operations teams to identify high-leverage automation opportunities, build reusable AI infrastructure, and ensure that deployed tools deliver measurable, lasting impact.

What You Will Be Doing

AI Tool Development & Deployment

• Own the full lifecycle of AI tooling — from scoping and prototyping through to production deployment and iteration — across business functions including operations, marketing, and customer experience
• Design and deploy LLM-powered agents, automation workflows, and intelligent internal tools that eliminate manual processes and improve decision-making speed
• Build and maintain prompt libraries, evaluation frameworks, and internal documentation that enable business teams to use AI tools reliably and at scale
• Design orchestration pipelines that coordinate multiple AI components to solve complex, cross-functional problems end-to-end
• Build quality assurance mechanisms to evaluate LLM outputs for accuracy, consistency, and hallucination, and drive continuous improvement based on findings

AI Infrastructure & Systems

• Continuously evolve Pluang's internal AI infrastructure — including RAG frameworks, vector databases, and agent runtimes — providing structured feedback on performance, reliability, and fitness for purpose to guide adoption and improvement decisions
• Improve document processing, chunking strategies, embedding pipelines, and retrieval mechanisms to ground agent responses accurately in Pluang's internal knowledge base
• Develop and maintain integrations between AI systems and existing internal tools and workflows (e.g. compliance review, customer insights, operational reporting)
• Stay current on emerging AI tools, models, and frameworks, and make proactive recommendations on what to adopt, build, or retire

Enablement & Organisational Impact

• Lead internal AI training sessions and drive onboarding of new AI Champions across departments, equipping non-technical teams with the knowledge and confidence to use AI tools effectively
• Partner with business stakeholders to translate operational pain points into clearly scoped AI use cases, and own delivery from first prototype through to measurable business outcome
• Define and track impact metrics for deployed AI tools, communicating results to leadership and using data to inform prioritisation
• Champion a culture of AI-first thinking across the organisation, surfacing opportunities proactively rather than waiting to be asked

What You Need to Be Successful

Required

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field
• 3+ years of professional experience in software engineering, AI/ML engineering, or a related technical role with demonstrated end-to-end project ownership
• Comfortable working with scripting or programming languages (e.g. Python, JavaScript, or similar) to build integrations, automate workflows, and connect AI tools to business systems
• Production experience with LLM APIs (e.g. OpenAI, Anthropic, or open-source equivalents) and practical prompt engineering
• Hands-on experience with