AI/ML Engineer

Responsibilities • Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks • Develop multi-agent workflows and coordinate agent collaboration for complex tasks. • Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents. • Contribute to the development and testing of robust, scalable agentic architectures and infrastructure. • Collaborate with senior engineers and data scientists in feature development, experiments, and integration of research findings. • Participate in code reviews, testing, and documentation to ensure quality and reliability. Required Skills & Experience • Undergraduate’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field. • 5-8 years of experience in AI/ML engineering or software development • Solid Python programming skills, experience with AWS cloud environment, Github pipeline, CI/CD concept and IT domain knowledge • Hands-on experience with agentic frameworks. • Experience with vector databases, data pipelines, and retrieval systems. • Strong problem-solving skills and eagerness to learn new AI techniques and frameworks. Preferred Qualifications • Hands-on experience across multiple technology stacks including Java Spring framework, React, Rust, and Go • Contributions to open-source AI/ML projects or agentic frameworks. • Experience in building autonomous agents, RAG systems, or multi-agent workflows. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.