Senior AI Engineer
Full-Time | Permanent
We’re working with a well-established insurance company that’s embracing Generative AI and LLMs to transform how they operate—and they’re building a seriously talented team to do it.
They’re looking for a Senior AI Engineer who’s hands-on, creative, and excited to take ownership of real-world GenAI solutions. You won’t just be tweaking models—you’ll be designing and delivering production-grade systems from scratch, with the autonomy to experiment, lead, and build.
Our client has an office in Sydney but are open to candidates in all parts of Australia.
Why You’ll Love This Role – the Benefits
- 12.5% performance bonus – real recognition for the impact you make
- $600 annual wellbeing allowance – spend it on your gym, sports, or whatever keeps you sharp.
- Birthday leave – take the day off on us.
- Volunteer leave – paid day to give back to causes you care about.
- CEO Sleepout participation – be part of meaningful social impact.
- Ongoing L&D – funded learning opportunities and internal mobility
- Creative freedom – you’ll have the license to innovate, challenge ideas, and own your solutions
- No rigid boxes – grow your role, shape the team, and explore new tools and approaches
- Supportive, agile culture – work alongside forward-thinking engineers and product leaders.
What You’ll Do
- Design, develop, and deploy machine learning and GenAI systems for key business use cases.
- Apply and fine-tune LLMs (OpenAI, Claude, Cohere, LLaMA, etc.), build prompt pipelines and embedding-based search.
- Develop retrieval-augmented generation (RAG) systems and deploy models into production.
- Collaborate with product, engineering, and data teams to deliver outcomes—not just models.
- Build scalable AI systems with a focus on maintainability, performance, and responsible use.
What You’ll Bring
- 4–6+ years in ML or software engineering, with 2+ years in GenAI / LLMs.
- Strong Python skills and ML ecosystem experience.
- Background in RAG, prompt engineering, vector search, or model fine-tuning.
- Experience with MLOps / LLMOps and cloud tools (especially AWS – Bedrock, SageMaker).
- A builder’s mindset—creative, curious, and comfortable getting hands dirty.
If you’re looking for more than just another AI role—and want to join a team where your ideas, input, and ownership actually matter—this is it.
Apply now or reach out to [email protected] for a confidential chat.
