Staff Machine Learning Engineer - Integrations & Solutions Group in Australia Fair, Queensland at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Machine Learning Engineer - Integrations & Solutions Group in Australia.

Join an innovative engineering environment shaping the future of AI-powered design experiences at global scale. In this role, you will help build and evolve advanced AI integration systems that connect cutting-edge large language models with creative workflows and design tools used by millions of users worldwide. You will contribute to the architecture, evaluation frameworks, observability systems, and intelligent orchestration layers powering next-generation AI interactions. Working across highly collaborative teams, you’ll influence technical strategy, integration standards, and scalable AI infrastructure while partnering with leading AI ecosystem providers. This opportunity is ideal for engineers who thrive in fast-moving environments, enjoy solving ambiguous technical challenges, and want to drive meaningful innovation at the intersection of machine learning, APIs, and intelligent automation. The role offers strong flexibility, high ownership, and the chance to shape the future of AI-driven product experiences.

• Design and evolve AI-ready APIs, tools, and integration patterns enabling large language models and AI assistants to interact seamlessly with design capabilities.
• Define technical standards for tool descriptions, payload structures, intent-based interfaces, and agent-to-agent communication frameworks.
• Build and enhance evaluation systems that measure tool-use accuracy, reliability, and quality across AI platforms and production environments.
• Contribute to the development of intelligent orchestration layers and scalable agent architectures supporting complex AI-driven workflows.
• Develop observability and monitoring systems to track AI assistant interactions, identify failure patterns, and drive continuous system improvements.
• Collaborate across engineering, API, workflow, and AI integration teams to solve cross-functional technical challenges.
• Influence integration strategies with external AI ecosystem partners and contribute to long-term architectural decisions.
• Drive innovation by proactively identifying emerging opportunities and adapting systems to the rapidly evolving AI landscape.

• Proven experience shipping production-grade LLM-powered systems with measurable business or technical impact.
• Strong expertise in designing, evaluating, and optimizing AI integrations, agent systems, or machine learning infrastructure.
• Hands-on experience building evaluation pipelines, benchmarking frameworks, and performance metrics for AI systems at scale.
• Deep understanding of API design, tool orchestration, observability practices, and scalable distributed architectures.
• Proficiency in Python and familiarity with machine learning frameworks and AI development ecosystems.
• Experience working with TypeScript, Node.js, and cloud infrastructure environments such as AWS, Cloudflare Workers, or equivalent platforms.
• Strong strategic thinking skills with the ability to translate external AI ecosystem developments into actionable technical direction.
• Excellent collaboration and communication skills with experience influencing cross-functional and partner-facing initiatives.
• Ability to thrive in ambiguous, fast-paced environments while maintaining high technical standards and execution quality.
• Passion for innovation, experimentation, and building scalable AI-powered user experiences.

• Flexible and remote-friendly work environment across Australia.
• Access to collaborative office spaces and hybrid work options.
• Equity package participation aligned with company success.
• Inclusive parental leave policy supporting all parents and caregivers.
• Annual wellbeing and lifestyle allowance to support personal growth, workspace setup, and social connection.
• Flexible leave programs promoting wellbeing, community impact, and work-life balance.
• Opportunity to work on globally impactful AI and machine learning initiatives.
• Access to a highly collaborative, innovative, and multicultural engineering culture.
• Career development opportunities within a fast-growing technology ecosystem.
• Fully virtual interview process with support for accessibility and reasonable adjustments.