Senior AI Engineer

Job Description

At Moose Toys we exist to make kids superhappy. Recognised as one of the most innovative companies in the industry, we work seriously hard but fun remains at the heart of everything we do. Playful with a Purpose, we live by our values which is why our team members consistently vote us a Great Place To Work. We've won awards for our Diversity and Inclusion, and we host inspiring Health & Wellbeing thought leader events live in our magical Moose Melbourne office. We invest heavily in all our learning and development and have a passionate and genuine commitment to our Net Zero sustainability targets.

Our Culture & the Moose Magic

At Moose we are Playful with a Purpose. We work hard at Moose but Fun is at the heart of everything we do. Along with a competitive salary and generous performance-based bonuses, some of our other benefits include:

• We're a certified Great Place to Work
• Flexible hybrid working, Monday & Wednesday WFH and flexi time policy
• Daily breakfast bar, fresh fruit and our own veggie garden
• Regular social events and celebrations
• Onsite fully serviced gym, circuit training & 1:1 PT
• Yoga classes, Massages, Skin Checks and Flu Vax throughout the year
• Bring Your Pet to Work program.
• 2 x Wellbeing Days per year
• School Holiday programs to support our working parents.
• Amazing guest speakers and thought leaders that present live in our amazing offices.
• On-site EV charging stations
• Discounted private health insurance
• Free Employee Assistance Program

About the Role

The Senior AI Engineer is a high-impact, hands on role and serves as the technical backbone of the Moose AI Lab. You will own the architecture and technical direction of AI agent systems, lead by example through hands on development, and mentor a growing team of AI engineers. This role focuses on designing and delivering production-ready, multi-agent workflows that automate core business operations, working closely with the Director, AI Program as the team's technical escalation point.

Key Responsibilities

• Define the architecture, design patterns, and engineering standards for AI agent systems
• Lead the design and delivery of complex, multi-agent workflows that automate end-to-end business processes
• Implement advanced agent orchestration and context-management strategies to improve reliability and performance
• Build and maintain production-grade tools, integrations, and data connectors across enterprise systems
• Establish evaluation, testing, and observability frameworks to ensure quality and system reliability
• Deliver full-stack solutions, including APIs, dashboards, and internal tools
• Mentor engineers through code reviews, technical guidance, and best-practice standards
• Contribute to the AI Lab roadmap, providing strategic and technical input to leadership
• AI & Agents: Relevance AI, Anthropic Claude, Claude Code
• Data & Analytics: Snowflake, SQL, Pandas
• Frontend: React, Vite, Tailwind CSS, HTML

About You

• 5+ years' experience in software engineering, including 2+ years building applied AI or LLM-powered systems in production
• Deep practical knowledge of LLMs, prompt engineering, RAG architectures, and fine-tuning techniques
• Proven experience designing and delivering complex or multi agent AI systems at scale
• Solid understanding of software architecture, system design, and scalable engineering patterns
• Demonstrated ability to lead technical initiatives end to end, from design through delivery
• Experience mentoring engineers and raising overall team capability
• Excellent communication skills, able to engage and influence non technical stakeholders
• Experience with Relevance AI or similar no code/low code AI orchestration platforms
• Familiarity with enterprise data platforms such as Snowflake or Oracle/JDE
• Hands on experience with LLM evaluation, observability, and performance monitoring
• Exposure to agent orchestration frameworks (CrewAI, AutoGen, LangGraph)
• Background in consumer products, retail, or fast-moving commercial environments
• Startup or scale up experience, with the ability to operate across multiple domains
• Open-source contributions or published work related to AI agents or LLM tooling

All Welcome

Just like our wide range and variety of brands, Moose embraces diversity and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment, regardless of race, colour, religion, sex, sexual orientation, gender identity, age, national origin or on the basis of disability or any other legally protected status. If you require any assistance to be included in our process, please contact , quoting the job title.