Senior AI Engineer

2 days ago


Adelaide, South Australia Fivecast Full time $180,000 - $250,000 per year

Our AI Engineer will work on the product development team to scope, design, document, develop, integrate and test software with a specific focus on evaluating and integrating the in-house and 3rd party AI capability into a large web-based application.

Responsibilities

  • Designing, implementing and testing software components in Java
  • Using data storage technologies and designing data storage models e.g. Postgres, Elastic
  • Coaching juniors and managing small teams (1-5 people) to ensure quality and timely delivery of software components
  • Deploying and managing applications in a cloud environment e.g. AWS
  • Using web front-end technologies e.g. HTML, CSS
  • Using software frameworks e.g. React, Angular and Spring
  • Evaluating, integrating, testing and deploying advanced AI models
  • Collaborating with data scientists to define model requirements, APIs, develop and integrate AI capability into the software products
  • Working with Data Science and DevOps to ensure the AI capability is scalable and robust in the production environment

Requirements

  • Australian citizenship - due to eligibility for NV1 defence clearance requirement for the role
  • 10-15+ years experience in relevant software engineering / technology development, with at least 5 years of experience in AI and machine learning development in a commercial setting.
  • Bachelor's Degree in systems or software engineering/ computer science or related discipline
  • Strong understanding of machine learning algorithms, neural networks and the latest generative AI (LLMs).
  • Deep technical knowledge of significant parts of our tech stack, including Java. Hands on experience working on large/complex software projects using that tech stack
  • Highly organised, problem solver with the ability to get things done
  • Excellent, collaborative team player and able to meet deadlines
  • Strong communication and technical documentation skills
  • Experience with key technology areas including software engineering, data storage, web technologies

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