AI Engineer

Additional office locations

Sydney

Job ID

23354

Date

01-Sep-2026

Permanent - Full time, Mid-level

Job category

Technology - Engineering

• Background in full-stack development using technologies such as C#, JavaScript, TypeScript, Python or Java, with a willingness to further develop your technical capability.

• Exposure to generative AI tools and frameworks such as OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI or similar technologies through work, personal projects, study or experimentation.

• Experience applying AI engineering concepts through professional work, self-directed projects, community involvement or learning programmes, with an interest in expanding your practical capability.

• Understanding of full-stack development concepts, including APIs, databases, web applications, authentication, testing and deployment processes.

• Familiarity with Python, PowerShell, React, Node.js, SQL, GitHub, Azure DevOps, CI/CD pipelines and cloud-hosted services.

• Experience or interest in developing AI-enabled applications using large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI evaluation techniques and related technologies

• Interest in cloud platforms, ideally Azure and/or AWS, and a desire to learn how applications, AI services and reusable technology platforms are designed, secured, monitored and operated within enterprise environments.

• Background in full-stack development using technologies such as C#, JavaScript, TypeScript, Python or Java, with a willingness to further develop your technical capability.

• Exposure to generative AI tools and frameworks such as OpenAI, Anthropic Claude, Amazon Bedrock, Google Vertex AI or similar technologies through work, personal projects, study or experimentation.

• Experience applying AI engineering concepts through professional work, self-directed projects, community involvement or learning programmes, with an interest in expanding your practical capability.

• Understanding of full-stack development concepts, including APIs, databases, web applications, authentication, testing and deployment processes.

• Familiarity with Python, PowerShell, React, Node.js, SQL, GitHub, Azure DevOps, CI/CD pipelines and cloud-hosted services.

• Experience or interest in developing AI-enabled applications using large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI evaluation techniques and related technologies

• Interest in cloud platforms, ideally Azure and/or AWS, and a desire to learn how applications, AI services and reusable technology platforms are designed, secured, monitored and operated within enterprise environments.