Australia Applied AI Solution Engineer

About the role Applied AI solution engineers are expected to work in small teams of Tomoro and client engineers to design, build and deploy AI applications, such as agents built around Large Language Models. As your experience and expertise in the role grows, this may extend to leading these teams, owning solutions end-to-end and advising clients in this space. The typical applications we build use existing closed or open-source foundational models, potentially with some fine tuning. We generally do not need to train our own foundational models from scratch. We do not expect every successful candidate to have experience in all of these areas. We encourage you to apply if the role excites you and you believe you can demonstrate a combination of the following capabilities. AI Solution Development Building AI-powered solutions, particularly those involving large language models with our client partners. You’ll be hands-on and will own design and build of such solutions. Client Consultation and Communication Regularly interacting with clients to understand their business challenges, goals, and requirements, and effectively communicating how AI solutions can address their needs. Technical Leadership Providing technical guidance and leadership within the team, including mentoring junior engineers and contributing to team skill development. Cross-Functional Collaboration Working collaboratively with other teams within the company, including non-technical teams, to ensure an integrated approach to AI solution development and implementation. Continuous Learning and Adaptation Staying updated with the latest developments in AI, machine learning, and related technologies to continually enhance the quality of solutions offered. Client Relationships Building robust, trusted relationships with senior business and technical clients. We aren’t a company of body-shop engineers – we constructively challenge our clients to help them become AI leaders in their field. Quality Assurance and Testing Ensuring the reliability, effectiveness, and safety of AI solutions through rigorous testing and quality assurance practices. Ethical Consideration and Compliance Upholding and actively contributing to ethical standards in AI development, including considerations for data privacy, bias minimization, and regulatory compliance. Helping to expand our knowledge on this subject and driving ethical ways to implement AI. Client Training and Support Assisting clients in understanding and effectively using AI solutions, and providing ongoing support and maintenance as needed.