Ai Engineer Jobs in Sydney, USA

Who is Plenti?  Plenti is a fintech lender, providing faster, fairer loans by leveraging its smart technology. Plenti is a dynamic and innovative business that is growing strongly. By continuing to deliver better customer experiences, Plenti is taking market share from incumbent players in the personal lending, renewable energy, and automotive finance markets. We are a fast moving and ambitious business that seeks to recruit smart and capable people, who can take ownership of their role to help the business thrive. With over 250 people based in Australia, Plenti is of a size where everyone can make a difference in their role and help us realise our very big ambitions as a team, as we go about building Australia’s best lender. Plenti is a founder led business that launched in 2014, listed on the ASX since 2020 with annual revenue of over $250 million and a loan portfolio of over $3 billion. About the role: We’re looking for an AI Engineer to join our newly formed, specialised AI team and help drive the next phase of innovation across our business. In this role, you’ll design, build, and deploy AI-driven solutions that enhance operational efficiency and support sales performance. Working closely with Engineering, SRE, and business stakeholders, you’ll translate real business problems into scalable, production-ready AI solutions. This is a hands-on role where your work will directly contribute to embedding AI capabilities across core platforms and delivering measurable outcomes. Key responsibilities: Deliver end-to-end AI solutions that improve operational and sales efficiency, integrating them across core systems Develop agentic workflows and autonomous components using Python, Langflow, and modern AI tooling Own the full solution lifecycle, from requirements gathering and stakeholder engagement through to design, testing, and deployment Embed AI-driven components into existing applications to enhance functionality and user experience Manage and optimise AI infrastructure, including specialised Kubernetes nodes and model orchestration environments, in partnership with SRE and Platform teams Apply best practices across testing, documentation, and monitoring to ensure reliable, high-performing solutions Stay up to date with emerging AI trends and tools to continuously improve internal capabilities About you:  A degree in Computer Science, Software Engineering, or a related field 2+ years’ experience in Python development, with a strong track record of building and delivering production-ready applications Hands-on experience developing and deploying AI solutions (e.g. LLM orchestration, RAG, or AI agents) Strong understanding of modern AI tooling and orchestration frameworks, including agentic systems and RAG techniques Experience working with cloud infrastructure (preferably AWS), with exposure to Terraform and Kubernetes Familiarity with Docker and Kubernetes for deploying and scaling workloads Strong problem-solving skills, with the ability to translate business needs into practical, maintainable technical solutions Working knowledge of machine learning principles (desirable), particularly in implementation and integration A collaborative mindset, with the ability to work cross-functionally with engineering, product, and business teams

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed.   At MYOB, we believe what’s good for one business is good for all business—and for all of us. Whether you support them, work for them, or dream of building your own, when businesses run smoothly, everybody feels it. Owners, employees, customers, suppliers—even families. That’s why we’re here: to give every person in business the tools they need to focus on what really matters and do Big Things—whatever big looks like for them.   And for you? Joining MYOB means being part of that impact. It means using your skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support. Because while we’re the business of software, we’re really in the business of people. And that makes MYOB Everyone’s Business. Be at the Forefront of AI Innovation at MYOB Are you a forward-thinking Machine Learning Engineer prepared to develop powerful AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology.   Be part of our Data & AI Team to develop and broaden applications with MYOB’s product ecosystem and data to compose AI-powered experiences for SMEs and Enterprises, enhancing efficiency and confidence.   The Role As a foundational member of the AI team, you’ll shape the technical vision and build systems that directly impact our customers' success. This is a unique opportunity to: - Design and implement machine learning systems from the ground up, with a focus on large language models (LLMs) and foundation models tailored to small business needs. - Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces. - Optimise AI systems for scalability, safety, and reliability on AWS infrastructure. - Work in a dynamic, zero-to-one environment, bringing ideas from concept to production.   What You’ll Do - Build from Scratch: Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges. - Deploy at Scale: Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock. - End-to-End Ownership: Lead projects from ideation to production, implementing MLOps guidelines for robust and efficient solutions. - Collaborate and Innovate: Work with product managers, engineers, and collaborators to align technical solutions with customer and business goals.   What You’ll Bring - Technical Expertise: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama). - Cloud-Native Experience: Solid understanding of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures. - MLOps Skills: Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes). - Customer Focus: Passion for solving real-world challenges for small businesses through innovative AI applications. - Innovation: Excels in uncertain settings, showcasing ingenuity and perseverance to construct influential systems from scratch. - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed.   At MYOB, we believe what’s good for one business is good for all business—and for all of us. Whether you support them, work for them, or dream of building your own, when businesses run smoothly, everybody feels it. Owners, employees, customers, suppliers—even families. That’s why we’re here: to give every person in business the tools they need to focus on what really matters and do Big Things—whatever big looks like for them.   And for you? Joining MYOB means being part of that impact. It means using your skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support. Because while we’re the business of software, we’re really in the business of people. And that makes MYOB Everyone’s Business. About the Team Our Tech team are true heroes. They’ve taken our legacy success and transformed it into an extraordinary SaaS platform to support SME and Enterprise businesses in ways they never knew they needed. By joining the Tech team, you’ll be an integral part of building our all-in-one business management platform.     Be at the Forefront of AI Innovation at MYOB  Are you a visionary engineer ready to build cutting-edge AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology. We’re looking for a Machine Learning Engineer to design, build, and scale AI-driven applications for our SaaS business management platform.    At MYOB, we don’t just deliver software—we empower businesses to succeed. As a Machine Learning Engineer, you’ll:  Build innovative AI systems that make a real-world difference for small businesses, collaborate with a passionate team committed to pushing the boundaries of AI while enjoying a culture of curiosity, authenticity, and collaboration, where every idea is valued.      The Role  As a foundational member of the AI team, you’ll shape the technical vision, lead a small team of engineers,  and togther build systems that directly impact our customers' success. This is a unique opportunity to:  - Design and implement machine learning systems from the ground up, with a focus on large language models (LLMs) and foundation models tailored to small business needs.  - Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces.  - Optimise AI systems for scalability, safety, and reliability - Work in a dynamic environment, bringing ideas from concept to production.      What You’ll Do  - Build from Scratch: Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges.  - Deploy at Scale: Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock.  - End-to-End Ownership: Lead projects from ideation to production, implementing MLOps best practices for robust and efficient solutions.  - Collaborate and Innovate: Partner with product managers, engineers, and stakeholders to align technical solutions with customer and business goals.      What You’ll Bring  - Technical Expertise: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama).   - Thought leadership and experience mentoring, coaching, or leading others - Cloud-Native Experience: Strong knowledge of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures.  - MLOps Skills: Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes).  - Customer Focus: Passion for solving real-world challenges for small businesses through innovative AI applications.  - Innovation: Thrives in ambiguous environments, bringing creativity and resilience to build impactful systems from the ground up.  - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.  - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.      Ready to Build the Future?  If you’re passionate about AI and want to be part of a team that’s shaping the future of business technology, we’d love to hear from you!

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed.   At MYOB, we believe what’s good for one business is good for all business—and for all of us. Whether you support them, work for them, or dream of building your own, when businesses run smoothly, everybody feels it. Owners, employees, customers, suppliers—even families. That’s why we’re here: to give every person in business the tools they need to focus on what really matters and do Big Things—whatever big looks like for them.   And for you? Joining MYOB means being part of that impact. It means using your skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support. Because while we’re the business of software, we’re really in the business of people. And that makes MYOB Everyone’s Business. About the Team Our Tech team are true heroes. They’ve taken our legacy success and transformed it into an extraordinary SaaS platform to support SME and Enterprise businesses in ways they never knew they needed. By joining the Tech team, you’ll be an integral part of building our all-in-one business management platform.     Be at the Forefront of AI Innovation at MYOB  Are you a visionary engineer ready to build cutting-edge AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology. We’re looking for a Machine Learning Engineer to design, build, and scale AI-driven applications for our SaaS business management platform.    At MYOB, we don’t just deliver software—we empower businesses to succeed. As a Machine Learning Engineer, you’ll:  Build innovative AI systems that make a real-world difference for small businesses, collaborate with a passionate team committed to pushing the boundaries of AI while enjoying a culture of curiosity, authenticity, and collaboration, where every idea is valued.      The Role  As a foundational member of the AI team, you’ll shape the technical vision, lead a small team of engineers,  and togther build systems that directly impact our customers' success. This is a unique opportunity to:  - Design and implement machine learning systems from the ground up, with a focus on large language models (LLMs) and foundation models tailored to small business needs.  - Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces.  - Optimise AI systems for scalability, safety, and reliability - Work in a dynamic environment, bringing ideas from concept to production.      What You’ll Do  - Build from Scratch: Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges.  - Deploy at Scale: Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock.  - End-to-End Ownership: Lead projects from ideation to production, implementing MLOps best practices for robust and efficient solutions.  - Collaborate and Innovate: Partner with product managers, engineers, and stakeholders to align technical solutions with customer and business goals.      What You’ll Bring  - Technical Expertise: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama).   - Thought leadership and experience mentoring, coaching, or leading others - Cloud-Native Experience: Strong knowledge of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures.  - MLOps Skills: Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes).  - Customer Focus: Passion for solving real-world challenges for small businesses through innovative AI applications.  - Innovation: Thrives in ambiguous environments, bringing creativity and resilience to build impactful systems from the ground up.  - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.  - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.      Ready to Build the Future?  If you’re passionate about AI and want to be part of a team that’s shaping the future of business technology, we’d love to hear from you!