Senior AI Engineer at Reapit ANZ

Milton, Queensland, Australia -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

TypeScript, JavaScript, DotNet, Python, AWS, Lambda, ECS/EKS, S3, CloudFormation, MySQL, LangChain, TensorFlow, PyTorch, OpenAI, Anthropic, MLOps

Industry

Software Development

Description

Reapit – Who are we? Reapit is the original, end-to-end business technology provider for estate agencies of all sizes. We’ve been helping sales and lettings agents to build relationships and grow their businesses for more than 25 years. Our technology connects property professionals in Europe, the Middle East, Australia, and New Zealand with buyers, sellers, tenants and landlords to power the relationships that change lives. In Australia, Reapit stands as the preferred technology choice among the nation's leading estate agents and agencies. Tailored to the unique demands of the Australian property market, Reapit provides successful leaders with unparalleled tools across sales, property management, client relations, and data analytics, reinforcing their position at the pinnacle of real estate excellence. What you’ll be doing Reporting to the Global Head of Data you’ll be involved in the following; Agentic Platform Development Design and build scalable AI agent architecture to support autonomous task execution and workflow automation Develop self-learning systems that adapt and improve performance based on customer transaction patterns and user interactions Implement robust patterns and practices for multi-agent and AI augmented RPA workflows Ensure security with customer data isolation and regulatory compliance AI Powered Automation & Insights Create intelligent systems for customer data analysis, market trend identification, and anomaly detection Build automated workflows for lead qualification, maintenance management and many other agency tasks Platform Engineering and Integration Architect and maintain production-ready AI services using TypeScript/JavaScript, .NET, and/or Python on AWS infrastructure & services Integrate AI capabilities with existing Reapit systems and third-party APIs while ensuring data consistency, performance and cost efficiency. Implement monitoring, logging, and observability solutions for AI model performance and agent behaviour tracking Technical Leadership and Innovation Evaluate and integrate cutting-edge AI platforms, frameworks, and tooling to maintain competitive advantage Collaborate with product and engineering teams to translate business requirements into technical AI solutions Mentor wider engineers and establish best practices for AI development, testing, and deployment Who we're looking for At Reapit, we prioritise hiring individuals who share our values and possess the right attitudes and behaviours for success. Whilst some of the listed requirements may be important, don’t worry if you don’t meet all of them, we’d still like to hear from you. 5+ years of software engineering experience with strong proficiency in TypeScript/JavaScript, .NET, and/or Python 3+ years of hands-on experience building and deploying AI/ML systems for enterprise-grade solutions, preferably in a SaaS or platform environment. Deep expertise with major AI platforms and frameworks (OpenAI, Anthropic, LangChain, TensorFlow, PyTorch) Proven experience with AWS services including Lambda, ECS/EKS, S3, CloudFormation Strong database skills with MySQL and experience with data pipeline development Experience building autonomous agents, multi-agent systems, or intelligent workflow automation, as well as traditional RPA Solid understanding of software architecture patterns, API design, and system integration principles Bachelor's degree in computer science, AI/ML, or related technical field Relevant AWS Certification in core or speciality paths Knowledge of natural language processing, computer vision, or recommendation systems Familiarity with MLOps practices, evaluation, and A/B testing frameworks Experience with microservices architecture and event-driven systems Understanding of data privacy regulations and security best practices for AI systems Contributions to open-source projects in relevant domains What your impact and success looks like We expect your success and impact in the early stages of your career with us to look something like this: Within 1 month: You’ll be discovering how to, and actively integrate AI functionality into simple features in our products Participating with the wider team, determining AI strategy and tooling Within 3 months: You will feel comfortable with the basics of the domain and Reapit’s products & services. You will be able to demonstrate an understanding of the core areas of the technology stack. You will be independently contributing new ideas to product and processes. You will be contributing more advanced agentic features to Reapit products, and helping hone AI strategy from initial feature feedback Within 6 months: You will be able to work independently due to your continually growing understanding of our products and solutions. Your contributions will be helping to shape the backlog and future direction of the wider products, where AI exists at its core You’ll be an advocate for the AI strategy throughout the business, guiding the wider teams adoption Don't tick all the boxes? Neither do we We care about our industry and want it to become a more inclusive and diverse place to work. So, we’re driven by hiring not only by experience and relevance for the role but by sharing our values and the right attitudes and behaviours for success. We are committed to Equal Employment Opportunity through attracting and retaining a complementary team of employees and building an inclusive environment for all. We feel we have an empowering environment where everyone is supported and respected, and we want you to feel this too. We welcome new ideas, thinking and approaches, whilst listening to all our employees. “We are a 2025 Circle Back Initiative Employer – we commit to respond to every applicant.”

Responsibilities

The role involves designing and building scalable AI agent architecture for autonomous task execution and developing self-learning systems that adapt based on customer transaction patterns. Responsibilities also include architecting and maintaining production-ready AI services using modern tech stacks on AWS infrastructure.