Top AI Jobs in Sydney

Lead and develop a high-performing engineering team for AI product delivery, managing software methodology and fostering growth within the team.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

The Senior CSR Engineer will lead project teams, design infrastructure solutions, mentor colleagues, and coordinate with stakeholders to deliver successful outcomes.

The engineer will develop AI infrastructure using AWS Bedrock and NodeJS, collaborate on AI use cases, and mentor others.

The Senior Solution Architect will oversee technical strategy and delivery for IoT projects, engage with clients, and lead teams in solution development for digital transformation and analytics.

The Research Engineer develops models and prototypes using AI, ML, and optimization to solve supply chain problems and quantify business value.

As an AI Engineer, you will develop AI agents, tools for agents, full-stack applications, and improve AI's performance while collaborating on open-source SDKs and agent frameworks.

Develop AI agents, integrate solutions with existing systems, and maintain evaluation platforms while collaborating with teams and debugging systems.

As a Principal Engineer, you will lead the development of scalable search systems, improve architecture, mentor teams, and define technology strategy.

Lead AI development projects by delivering innovative software solutions, collaborating with cross-functional teams, and deploying advanced AI models to address complex challenges.

The AI Backend Engineer will develop scalable backend systems, collaborate with frontend teams, and mentor junior engineers while promoting technical excellence.

Build a new brand data platform using generative AI. Own product development from MVP to market fit, collaborating across teams.

The Backend AI Engineer will operationalize AI tools for Compass, collaborating on scalable solutions, enhancing user experiences, and fostering AI fluency across teams.

Welo Data seeks fluent Indonesian speakers for remote tasks in AI training including annotation, evaluation, and prompt creation, offering flexible opportunities.

Welo Data seeks native Nepali speakers to join a flexible talent community, contributing to AI projects involving annotation, evaluation, and data generation, with growth opportunities.

Responsible for developing AI search agents and RAG pipelines, optimizing performance, and monitoring production environments while ensuring accuracy and efficiency.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, ensuring cultural relevance and accuracy, while collaborating with interdisciplinary teams.

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

As an AI Engineer, you will build and maintain AI-driven customer support tools, overseeing the end-to-end operations of conversational AI services and ensuring compliance with data privacy regulations.

The Labelling Systems Engineer will design, verify, and manage labelling systems for medical devices, ensuring compliance with regulatory standards and user needs. Requires collaboration with cross-functional teams and contribution to continuous improvement of labelling processes.

As an AI Engineer, you'll engage with customers to understand their needs, deploy AI models, and create scalable systems to enhance customer workflows.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

Join the AI team of Squiz as a Software Engineer to enhance the Digital Experience Platform, focusing on AI integration and large-scale software development.

Develop, test, and maintain software applications; integrate AI/ML tools, collaborate with teams, and ensure quality standards in a cloud-based environment.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.