Description
ABOUT US
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.
Please visit our website and LinkedIn Life Page for more information on our amazing people and brands.
View our awesome video on our LinkedIn Life Page https://www.linkedin.com/company/moose-toys/life/6c69e3e6-a410-4d96-82e8-829e6caf38d6/?viewAsMember=true
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.
Moose Happy Kids Foundation paid volunteer drives.
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
Technology Stack
AI & Agents: Relevance AI, Anthropic Claude, Claude Code
Languages: Python, JavaScript, TypeScript
Data & Analytics: Snowflake, SQL, Pandas
Frontend: React, Vite, Tailwind CSS, HTML
Cloud & Infrastructure: Azure, AWS, Oracle Cloud, Microsoft 365
Collaboration: Linear, Figma, Slack
ABOUT YOU
Essential
5+ years’ experience in software engineering, including 2+ years building applied AI or LLM-powered systems in production
Strong programming skills in Python and JavaScript/TypeScript, with experience using AI-assisted coding tools
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
Desirable
Experience with Relevance AI or similar no-code/low-code AI orchestration platforms
Familiarity with enterprise data platforms such as Snowflake or Oracle/JDE
Experience with MCP servers, tool-use patterns, or computer/browser-based agents
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
[email protected], quoting the job title.
We move quickly at Moose, so please APPLY TODAY
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