AI Engineer

at  ReadyTech Group

We are looking for a dedicated AI Developer / Software Engineer to design, develop, and implement AI-driven applications and features within our existing product suite. This role requires a strong background in software engineering coupled with an innovative mindset to apply AI in solving realworld problems.

ABOUT US:

Making a meaningful difference with mission-critical software that empowers communities to thrive.
ReadyTech is more than just a one-trick pony playing in one market with one product, or one customer. We re-imagine, design, develop and deliver technology to solve our customer’s diverse problems – supporting multiple businesses across a variety of markets to be ready for anything.
We’re an ASX-listed company which means we are stable, have a strong track record of sustainable growth and have a significant number of long-term customers. So, what does this mean for you? It means we can offer you an experience that will push you to be your best, provide career-building challenges, and that will offer you numerous growth opportunities that can’t be found in any other company.
It’s an inclusive environment where there is no place for politics, where we get our heads together to solve the problems that really matter to our customers, and where we always stay focused on our north star – the communities we serve, and society at large.
Using your expertise, you will assist with scope requirements, field design documentation, and change request testing. You will also act as an “expert” product resource for customers and will be expected to communicate and prioritise customer requirements to other areas of the business. A focal point of your role involves optimising overall efficiency and performance by identifying opportunities to enhance internal processes.

THE KEY ACCOUNTABILITIES OF THE ROLE:

AI Algorithm Development: Designing, coding, testing, and deploying AI algorithms, models and code. This includes ensuring that the code meet performance standards, is scalable, and optimized for the required applications.
System Integration: Ensure the seamless integration of AI solutions into existing systems and platforms. This includes collaborating with other engineering teams to ensure compatibility, functionality, and performance of AI components within the broader technology ecosystem.

THE KEY RESPONSIBILITIES OF THE ROLE

• Develop and maintain AI-enhanced applications according to requirements.
• Collaborate with AI architects and machine learning engineers to ensure technical feasibility.
• Implement best practices in coding, testing, and deployment of AI-based software.
• Contribute to the creation of user-focused solutions that leverage AI for enhanced
• performance and user experience.
• Stay updated with the latest AI software development tools and methodologies.