Our Why Datacom works with organisations and communities across Australia and New Zealand to make a difference in peoples lives and help organisations use the power of tech to innovate and grow. About the Role (your why) As an AI Developer at Datacom, you will be responsible for creating and enhancing powerful AI-driven tools that empower our business and customers. This role involves developing scalable solutions that leverage cutting-edge AI technologies, with a strong focus on improving efficiency, automation, and overall business operations.

You will work closely with cross-functional teams to identify opportunities for AI integration, build intuitive user-facing tools, and drive the adoption of AI capabilities throughout the business. Additionally, you'll be a key advocate for AI solutions, helping internal teams and customers understand, embrace, and implement AI-powered processes that deliver significant value. Your work will be instrumental in transforming business practices, supporting customer success, and leading the charge in innovative AI adoption.

What you'll do: Design, build, and deploy scalable AI solutions that improve operational efficiency and automation for internal teams and customers. Collaborate with cross-functional teams to identify opportunities where AI can deliver measurable business value. Develop intuitive, user-facing tools and APIs that make AI capabilities accessible and easy to use.

Stay across the latest AI trends, models, and tools, and bring innovative ideas into solution design. Advocate for the adoption of AI across Datacom by presenting solutions, conducting workshops, and producing clear documentation. Support the end-to-end AI project lifecycle, from ideation and prototyping through to production deployment and monitoring.

Contribute to establishing best practices, frameworks, and reusable components for AI development at Datacom. Work closely with customers to understand their needs and tailor AI solutions that solve real-world business challenges. Help shape Datacoms AI strategy by participating in internal communities of practice and external thought leadership initiatives.

Ensure solutions meet security, ethical, and compliance standards for responsible AI use. What youll bring Python expertise: Strong skills in building LLM applications, integrating APIs, and deploying machine learning models. Frontend development with React: Ability to create intuitive, interactive UIs that showcase AI-driven capabilities.

Applied AI knowledge: Hands-on experience working with foundational models, vector databases, retrieval-augmented generation (RAG), basic fine-tuning, and prompt chaining techniques. Experience: Proven track record of delivering AI-powered features and systems - not just experimenting, but building solutions that are used in production. Strong understanding of the engineering challenges involved in deploying AI at scale, including managing latency, handling token limits, and monitoring model perf.