Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Java Gen AI Engineer based in Australia.
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This role offers an opportunity to combine strong Java engineering expertise with hands-on Generative AI development.
n You will design and implement practical, production-ready AI solutions aligned with business and executive priorities.
n The position focuses on agentic workflows, AI application integration, and performance engineering in an evolving technology landscape.
n You will collaborate with stakeholders and distributed engineering teams to accelerate AI adoption and expand internal capabilities.
n The role also provides exposure to cloud platforms, enterprise-scale AI initiatives, data pipelines, and AI-enabled user experiences.
n Success requires a hands-on mindset, technical curiosity, and the ability to turn emerging AI concepts into reliable solutions.
n You will have the autonomy to make a meaningful impact while helping shape how AI capabilities are developed and scaled.
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Accountabilities
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Design and implement AI-driven solutions that address business and executive priorities while integrating effectively with existing applications and systems.
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Translate Generative AI concepts, emerging technologies, and agentic approaches into practical, scalable, production-ready implementations.
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Develop AI engineering solutions involving LLMs, AI tools, applied AI systems, and intelligent workflows.
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Contribute to agentic workflows and performance engineering frameworks that improve the scalability and effectiveness of AI applications.
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Collaborate with internal stakeholders and distributed or offshore engineering teams to deliver AI initiatives and resolve technical challenges.
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Help identify gaps in AI expertise and contribute to knowledge sharing, technical enablement, and the development of scalable internal capabilities.
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Support AI-enabled web and UI implementations using tools such as Open WebUI or comparable frameworks where appropriate.
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Integrate AI services with cloud environments and existing enterprise applications, leveraging platforms such as AWS, Azure, or GCP.
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Contribute to enterprise-scale AI projects and data pipelines while applying appropriate security and engineering practices.
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Stay current with developments across Generative AI, agentic systems, AI frameworks, and related technologies, identifying opportunities to improve existing solutions.
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Requirements
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At least 1 year of hands-on experience in AI engineering, including LLMs, AI tools, or applied AI systems, combined with solid Java engineering capabilities.
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Demonstrated experience building and deploying real-world AI solutions rather than focusing solely on theoretical concepts.
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Strong understanding of modern AI trends, tools, frameworks, and practical Generative AI engineering techniques.
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Experience designing interoperable solutions that integrate AI capabilities with existing applications and enterprise systems.
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Familiarity with cloud platforms such as AWS, Azure, or GCP and experience integrating cloud-based AI services.
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Understanding of enterprise-scale AI projects, data pipelines, and security best practices for AI applications.
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Experience with AI-enabled web interfaces or UI frameworks, such as Open WebUI or similar technologies, is an advantage.
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Experience working with distributed or offshore teams and collaborating effectively across different time zones is preferred.
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Strong communication skills, with the ability to explain technical concepts clearly and collaborate effectively with technical and non-technical stakeholders.
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A proactive, self-driven approach with the ability to work independently, manage priorities, and operate with urgency in a fast-changing environment.
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Genuine enthusiasm for technology and AI, with a continuous-learning mindset and a strong focus on practical execution.
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Benefits
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Flexible contract engagement with openness to candidates across global locations.
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Opportunity to work on practical Generative AI and agentic technology initiatives.
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Exposure to enterprise-scale AI adoption, cloud platforms, data pipelines, and AI application development.
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Opportunity to collaborate with distributed engineering teams and internal technology stakeholders.
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High-impact environment where your work can directly contribute to scaling AI capabilities.
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Flexibility and autonomy to operate effectively across time zones and evolving project requirements.
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Opportunity to deepen expertise in emerging AI technologies and modern AI engineering practices.
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📌 Java Gen Ai Engineer (New South Wales)
🏢 Jobgether
📍 New South Wales