AI Engineer

Employment Type:

Contract

Location:

Perth

Industry:

Digital Resources - Data Science

Contact Name:

Hazel Khoo

Contact Email:

hazel@techresources.com.au

Contact Phone:

0473 495 715

Date Published:

08-Dec-2025
AI Engineer

Location:
Perth 

Key Responsibilities

AI Platform Engineering & Development
  • Design, build, and maintain reusable AI components, APIs, microservices, and orchestration frameworks.
  • Support the delivery of ML and GenAI architectures, including retrieval pipelines and agent-based workflows.
  • Develop platform capabilities for model deployment, automation, monitoring, evaluation, and end-to-end lifecycle management (MLOps & LLMOps).
Enterprise Solution Integration
  • Integrate AI services into business workflows, ensuring alignment with enterprise architecture, security standards, and data governance requirements.
  • Partner with cross-functional teams to deliver scalable, production-ready AI solutions.
  • Contribute to rapid prototyping and experimentation to validate feasibility and operational value.
Collaboration & Communication
  • Investigate emerging AI/ML and GenAI technologies and assess applicability within the organisation.
  • Document platform patterns, best practices, engineering standards, and operational procedures.
  • Actively participate in knowledge sharing, capability uplift, and continuous improvement initiatives.
Qualifications & Experience
  • Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline.
  • 2+ years' experience designing, developing, and delivering AI/ML systems, including cloud-native solutions.
Required Skills
Software Engineering & Programming
  • Strong proficiency in Python (essential).
  • Familiarity with TypeScript/JavaScript, C#, or Go is advantageous.
ML/AI Frameworks
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or LangChain.
GenAI & RAG
  • Exposure to embedding models, vector databases, retrieval pipelines, and agent-based orchestration.
Cloud & DevOps
  • Working knowledge of AWS or Azure, containerization (Docker), orchestration (Kubernetes), and IaC tools such as Terraform.
  • Familiarity with CI/CD pipelines and monitoring/observability tools.
Data & Platform Engineering
  • Experience or understanding of tools such as Snowflake, Kafka, AWS S3, REST APIs, microservices architecture, or knowledge-graph integrations.
Version Control & Agile Delivery
  • Proficient with Git and GitHub workflows (pull requests, branching).
  • Experience contributing to Agile delivery using tools like Jira.
Desirable Skills
  • Experience in industrial automation, heavy industry, or operational technology environments.
  • Exposure to OpenAI integrations, SageMaker, or Databricks.
  • Understanding of AI governance, security, and responsible AI practices.
 
For more information on the role, the client or the project please click ‘APPLY NOW’ or contact Hazel Khoo on hazel@techresources.com.au or 0473 495 715.

Reference:     

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