AIC Software Engineer

Key Responsibilities

• Collaborating closely with the other developers, product owners, and testers in your team to deliver excellent software products in an agile environment;
• Develop and test products to a high standard to ensure they are fit for purpose;
• Support testers through the development of supporting infrastructure to enable automated testing;
• Drive development of features, from technical design to launch.;
• Identify obstacles and potential for delivery, business and process improvements and work through them;

Minimum Requirements

• Bachelor s degree in Computer Science / Information Technology / Electronics (or equivalent) with 4-8 years experience developing complex Application Software.
• Experience developing backend applications using Python, Node.js
• Experience building RESTful APIs using Falcon, Express or similar frameworks
• Knowledge of AWS/Azure/Google cloud.
• Experienced with standard Agile software practices
• Experience building and running containerised applications using Docker
• Collaborative team player with good communication skills
• Experience with Design patterns
• Strong analytical skills with ability to solve tough Technical problems
• Comfortable working in greenfield projects with higher levels of ambiguity

• Experience with Tensorflow or other ML frameworks.
• Experience with IEC 62304; developing software for medical devices
• Experience with SQL and Database design.

What we re about

Were problem solvers, redefining what s possible in medical imaging through AI Technology. Our mission is to raise the standard of healthcare for millions of patients every day.

Yes, we re a technology company and yes, we re leveraging the latest AI technologies, but people are at the heart of everything we do.

Annalise.ai was formed in early 2019, powered by Harrison.ai . Since then, we ve scaled rapidly and we re focused on creating AI solutions that help radiologists diagnose medical images.

Our first product, the worlds most comprehensive AI clinical decision-support solution for chest x-rays, is already in made available to 1 in 4 radiologists in Australia and rolling out to hundreds more, globally. This solution is capable of detecting 124 findings and was recently featured in a peer-reviewed publication, Lancet Digital Health journal.

And we re just getting started.

Help us shape the future of AI in medical imaging. And most importantly, help us make a real difference in people s lives.

What s next?

If you re inspired by what were up to, please apply now and well be in touch soon.