About the Role

We’re seeking an experienced AI Engineer / Developer to help build and operate a large-scale enterprise AI platform that supports traditional ML, GenAI, LLM-based applications, orchestration frameworks, and end-to-end MLOps and LLM Ops processes.

You’ll work closely with data scientists, architects, and product teams to deliver reliable, integrated and production-ready AI solutions. This role is both strategic and hands-on, contributing to reusable AI components, scalable architectures, and uplift of platform capabilities across the organisation.

You Should Have

• A bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
• Minimum 2+ years of experience designing, developing, and delivering AI/ML systems, including cloud-native solutions
• Strong proficiency in Python, with familiarity in TypeScript/JavaScript, C#, or Go beneficial
• Practical experience with ML/AI frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain
• Exposure to GenAI and RAG techniques including embedding models, vector stores, retrieval chains, and agentic orchestration
• Working knowledge of cloud platforms (AWS or Azure), containerisation (Docker), Kubernetes, Terraform, CI/CD pipelines, and monitoring tools
• Familiarity with Snowflake, Kafka, S3, REST APIs, microservices architecture, and knowledge graph integration
• Experience with Git and GitHub (including pull requests) and contributing to Agile delivery using Jira
• Strong alignment with organisational values and engineering best practice

Desirable Skills

• Experience in industrial automation, heavy industry, or operational technology environments
• Experience with OpenAI integrations, SageMaker, or Databricks
• Knowledge of AI governance, security, and ethical AI deployment

Soft Skills

• Strong analytical and problem-solving skills
• Clear, effective communication
• Ability to collaborate and contribute proactively within team environments

Key Responsibilities

• Develop and maintain reusable AI components, APIs, microservices, and orchestration frameworks
• Support the implementation of ML and GenAI architectures including retrieval pipelines and agentic workflows
• Build platform capabilities for model deployment, automation, monitoring, evaluation, and lifecycle management
• Integrate AI services into enterprise workflows, ensuring strong alignment with architecture, security, and data governance
• Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions
• Contribute to prototyping and experimentation to validate feasibility and business value
• Document platform patterns, best practices, and operational procedures
• Participate in knowledge sharing, capability uplift, and continuous improvement initiatives

The Benefits

• Opportunity to shape platform foundations for AI/ML and GenAI across the organisation
• Work in a collaborative environment that values innovation, technical excellence, and continuous improvement
• High-impact role influencing AI-driven initiatives at scale

If this sounds like you, we’d love to hear from you. Apply now or contact Kent Sin at (08) 6146 4464 or [email protected].