AI Engineer
The Data Science & AI team develops, builds, and delivers production-grade AI products to provide solutions to business problems. Key responsibilities include architecting scalable software, building agentic workflows, and managing the ops and pipelines used to deploy them. We push the envelope in what is possible and work on new and novel implementations of AI engineering.
Areas of focus for the team include leveraging LLMs to assist our content creation stakeholders, architecting enterprise-grade semantic search engines, and building agentic workflows that transform raw data into actionable business operations.
Day to day you will:
- Architect, maintain and deploy scalable and robust production-grade AI applications and microservices.
- Champion utilising non-deterministic flows to drive measurable business outcomes.
- Design advanced retrieval architectures (RAG) and optimise LLM orchestration for latency and cost.
- Build robust APIs to integrate AI agents with internal databases and third-party tools.
- Evaluate agent's performance using evaluations and tests to iterate on prompts, agent tools and agents orchestration to improve output quality and reliability.
- Manage the observability and logging of deployed agents to proactively identify and resolve edge cases.
- Champion engineering best practices and stay ahead of the rapidly evolving GenAI landscape.
Qualifications
What you’ll bring:
- Strong programming skills in Python with a recent focus on building scalable production grade AI applications.
- Proven experience with orchestration frameworks (ADK preferred) and implementing RAG architectures with Vector Databases.
- Understanding of software design, service architecture, and best practices for scalable systems.
- A proven track record of prior production-grade projects utilising prompt engineering & system design with considerations for latency and user experience.
- Bonus
- Master's degree in Computer Science or AI.
- Deep understanding of foundational models and fine-tuning techniques.
- Knowledge of evaluation frameworks (e.g., RAGAS, TruLens) or "LLM-as-a-judge" patterns.
- Familiarity with Google Cloud Platform (Vertex AI) and containerisation (Docker/Kubernetes).
Additional Information
How we work
At Nine, our flexible work options vary by role and team. Depending on the position, this may include flexible hours, hybrid work, or part-time arrangements. We welcome discussing your flexibility needs during the hiring process - just ask the Talent Acquisition team.
Our employee benefits include:
- 18 weeks paid parental leave with no distinction between primary and secondary carers.
- Access to 'Employee Exclusives' program - a way of getting closer to our incredible brands, offering unique experiences, behind-the-scenes access, and awesome perks.
- Digital newspaper subscription to our mastheads.
- Annual gift voucher for Stan subscription.
More info at Nine Careers.
Our Commitment to Diversity and Inclusion:
We're committed to a safe, respectful and inclusive Nine. From day one, you'll be encouraged to bring your whole self to work and will be supported to perform at your best.
We encourage applications from Aboriginal and Torres Strait Islander people, people with disabilities, and of all ages, genders, nationalities, backgrounds and cultures as we recognise the importance and value of diverse perspectives. Should you require any adjustments to the recruitment process, please advise us when you apply.
Work rights: Please note to apply for this role you must already have the right to lawfully work and live in Australia.