Top AI Jobs in Sydney

As a Software Engineer (AI), you'll design and develop an evaluation framework for LLM models, automate their evaluation, and collaborate with other engineers to build an evaluation dashboard. Your role requires coding for performance, reliability, and scalability, focusing on data storage solutions and API management, while ensuring adherence to best practices and security measures.

The Lead Architect – Data & Insights will oversee a team focused on leveraging data and AI to provide value to customers. Responsibilities include developing enterprise data and AI strategies, ensuring alignment with technology goals, mentoring architects, driving innovation in feature development, and collaborating with senior leaders to achieve business outcomes.

The AI Engineer will design and deploy AI systems, develop AI agents and applications, ensure performance and reliability, and integrate with other enterprise systems. Responsibilities also include collaborating with UX engineers and providing technical leadership.

Develop and deploy scalable AI models, optimize machine learning algorithms, collaborate with teams, and improve model performance within cloud environments.

As a Senior Full Stack Software Consultant, you'll design and build custom solutions for diverse clients, utilizing your expertise in full-stack software engineering and AI. You'll lead projects, collaborate with clients, and employ agile practices to deliver technological solutions. The role requires strong communication, problem-solving abilities, and a commitment to continuous learning.

Outlier seeks experienced software engineers proficient in coding and fluent in Simplified Chinese to assist with training AI models. Responsibilities include crafting computer science questions and evaluating AI-generated code. This is a flexible, remote freelance role.

Lead a software engineering team to integrate AI into the Digital Experience Platform (DXP). Collaborate with the AI Product Manager to deliver on product roadmaps, enhance application code, maintain robust documentation, and provide mentorship to junior and senior engineers.

The Principal Engineer will focus on building and scaling conversational search and insights generation features, collaborating with engineering teams, defining search technology strategy, solving systemic technical challenges, designing advanced search systems, and advocating for engineering quality.

As an AI Backend Engineer, you'll develop and maintain backend services and APIs, collaborate with frontend developers, implement database queries, ensure application reliability, write clean code, and mentor junior engineers.

Outlier is seeking experienced software engineers fluent in Traditional Chinese to assist in training AI models by crafting computer science questions and evaluating AI-generated code. This freelance role provides flexible remote hours with no prior AI experience necessary.

This role involves using coding expertise to assist in training AI models by evaluating and ranking AI-generated code and creating relevant computer science questions. No previous AI experience is required.

As a Senior AI/ML Engineer at Nansen, you will develop and monitor AI models to analyze blockchain data, collaborate with cross-functional teams to enhance the platform's analytical capabilities, and mentor junior engineers. Your work will significantly influence decision-making for crypto investors and drive the technology forward.

The Senior Software Engineer will enhance the AI capabilities of a Digital Experience Platform (DXP). Responsibilities include full-stack software development, implementing testing strategies, and working within Agile methodologies, particularly Scrum. Team leadership and experience with cloud technologies are key requirements.

As a Senior AI Product Engineer, you will lead the development of AI products utilizing Large Language Models, collaborating with cross-functional teams to define product roadmaps, optimize LLM integration, and enhance user experience in the crypto ecosystem.

The job involves owning and building large areas within AI data management software, participating in the entire product lifecycle, and quickly learning new technologies as needed. You’ll work on developing tools for managing unstructured data at scale, contributing to open-source solutions, and collaborating with a remote team.

The role involves assessing AI-generated math content, crafting math questions, and evaluating AI responses, requiring expertise in math and Spanish.

As a Software Engineer, you will develop end-to-end data analytics and MLOps solutions using open-source tools, collaborate with a distributed team, debug issues, and maintain cloud-deployed solutions for public and private infrastructures.