Techtronic Industries (TTI) is a global organisation, a world-class leader in quality consumer and professional products marketed to the home improvement and construction industries. The TTI brands like MILWAUKEE, RYOBI, AEG, VAX and many others are recognised worldwide for their deep heritage, superior quality, outstanding performance and compelling innovation.
Through an ongoing company-wide commitment to cordless technology, innovation and strong customer partnerships, TTI consistently delivers exciting new products that enhance customer satisfaction and productivity. We are committed to ensuring our people have a great experience at TTI, so in addition to an exciting and challenging role we also provide:
Lifestyle: Hybrid working model to support flexibility.
Personal Development: Access to LinkedIn Learning and professional development programs.
Health & Wellbeing: Paid Parental Leave and Employee Assistance Program.
Discounts & Perks: Generous discounts on company products, laptop provided, novated leasing options.
Social: Recognition programs and social events to celebrate our team’s achievements
About The Role
TTI is currently seeking an AI Platform Engineer to design and deploy AI systems that support interoperable agents across various model vendors.
In this role, you will also be responsible for building secure AI pipelines, architecting agent orchestration layers that abstract vendor complexities, and integrating RAG and data solutions.
Reporting directly to the Enterprise Data Solution Architect your key responsibilities will include:
Architecture & Design - Define enterprise AI reference architecture, multi-agent workflows, and routing policies.
Platform Build & Integration - Implement agent frameworks, vendor SDKs, API gateways, and vector databases.
Monitoring, Evals & Governance - Implement LLMOps observability, evaluation harnesses, and guardrail services.
Deployment & Operations- Create CI/CD pipelines, containerize services, and enforce security best practices.
Security, Risk & Compliance - Apply secure-by-design principles and meet privacy requirements.
Collaboration & Stakeholder Management - Work closely with cross-functional teams and deliver documentation.
Mentorship & Standards - Promote templates, reusability, and enforce code review practices.
About YOU
You will have excellent communication, problem-solving, and stakeholder engagement abilities in order to drive innovation and support the organisation’s values of safety, commitment, integrity, respect, collaboration, accountability, and effective communication.
Education & Experience
Bachelor’s or master’s degree in computer science or related field and 8+ years in software/ML engineering, with 1+ years building LLM-driven applications.
Technical Skills
Agent frameworks (LangChain, Semantic Kernel, AutoGen), Integrations like MCP and A2A, model providers (Azure OpenAI, Bedrock, Anthropic etc), RAG & vector databases, LLMOps observability, DevOps & cloud (Docker, Kubernetes), APIs & integration, security & compliance, programming (Python, TypeScript).
4+ years in software engineering with 1+ years in AI/ML development
Proficiency with Microsoft Azure (Azure AI Services, Azure OpenAI)
Strong Python , Java and C#/.NET programming skills
Hands-on experience building and consuming RESTful APIs
Practical experience with LLMs, generative AI, and prompt engineering
Knowledge of AI frameworks (LangChain, Semantic Kernel, or similar)
Familiarity with responsible AI practices
If you fit the above attributes and are excited at the prospect of joining a successful global organisation, then APPLY NOW