Artificial Intelligence Engineer

About Karista

Karista is dedicated to improving the lives of one million Australians by revolutionizing access to home care, NDIS, aged care, and therapy services. We empower individuals with personalized support and equip service providers with intelligent, data-driven solutions.

Role Overview

Join our passionate team in Cremorne, Melbourne, as an AI/ML Engineer developing AI solutions that directly enhance outcomes for vulnerable individuals navigating complex care systems. This full-time onsite opportunity involves designing, building, and deploying AI systems that make a meaningful difference.

Technology Environment

• Backend development primarily in Python
• Utilization of major cloud AI and machine learning platforms such as AWS, Google Cloud Platform, or Microsoft Azure
• Expertise in large language model integration, prompt engineering, retrieval-based methods, and model evaluation
• Working with relational databases, preferably PostgreSQL, and designing/integrating APIs
• Bonus skills include infrastructure-as-code, continuous integration and deployment workflows, and containerization using Docker

Key Responsibilities

• Design, develop, and deploy AI and ML features aligned with the company's product roadmap
• Establish and assess model pipelines, including retrieval-augmented techniques
• Create automation tools to improve efficiency and reduce manual workload
• Implement safety mechanisms, evaluation frameworks, and continuous monitoring to ensure AI output reliability and auditability
• Collaborate with backend engineers for seamless integration of AI services into the overall architecture
• Lead experimentation efforts by testing new models, prompting methods, and architectural approaches while clearly documenting findings
• Ensure all AI-driven solutions comply with data protection guidelines and healthcare regulatory standards

Candidate Profile

• Minimum of 2 years’ experience in building and deploying AI/ML systems in production environments, including LLM-based applications
• Strong programming skills across data pipelines, APIs, and application-level coding
• Hands-on experience with at least one major cloud AI platform
• Practical knowledge of modern LLM integration strategies such as prompting, tool utilization, retrieval techniques, evaluation, and safeguards
• Understanding of relational database systems and AI interaction with structured business data
• Ability to work effectively amid ambiguity, balancing rapid experimentation with production stability
• Commitment to responsible AI use within regulated and sensitive domains like healthcare

Preferred Qualifications

• Experience with multi-agent systems or orchestration frameworks
• Background in healthcare or other highly regulated, privacy-focused sectors
• Familiarity with tools for model evaluation, system observability, and safety

Success Metrics

• Consistent and reliable delivery of AI features meeting defined accuracy and quality benchmarks
• Well-documented, evaluated, and iteratively improved models and pipelines
• Trustworthy, safe, and transparent AI outputs appreciated by both technical and non-technical stakeholders
• Clean, stable, and maintainable integration within the wider platform ecosystem
• Gradual assumption of greater responsibility over the AI/ML development roadmap

Work Environment

At Karista, you will craft impactful AI technologies that bring tangible benefits to people's access to care. You will have the autonomy to innovate, quickly deliver results, and witness your contributions reflected in real-world outcomes within weeks rather than years.