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Lead AI Engineer

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TheDriveGroup
Sydney NSW
Full Time

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Posted 6 months ago
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Posted 6d ago
  • Established scale-up with robust AI roadmap
  • Technical leadership position building AI agents
  • Competitive salary with flexible hybrid working model
I’m supporting an established scale-up that is investing heavily in intelligent automation and next-generation AI products. This is a rare opportunity to join a newly formed team as a Lead AI Engineer, working on greenfield initiatives and shaping both the technical direction and long-term AI strategy.

You’ll be stepping into a high-impact role where you’ll build sophisticated AI systems, guide engineering decisions, and collaborate closely with product and platform teams. If you enjoy solving complex problems, designing production-ready ML solutions, and influencing architecture in an early-stage environment, this one will resonate.

What You’ll Do
  • Architect and develop AI systems that solve real business problems, from workflow automation to advanced agent-based intelligence.
  • Build and refine AI/ML models using both traditional ML techniques and modern LLM-based approaches.
  • Develop autonomous agents using tools such as Google ADK, LangGraph, or similar frameworks.
  • Lead technical design and decision-making across the AI engineering domain, acting as the senior technical voice on the team.
  • Deploy and productionise AI models, including monitoring, optimisation, and reliability engineering.
  • Collaborate closely with data and platform engineers to ensure robust pipelines, scalable architectures, and dependable data foundations.
  • Work hands-on across the core backend stack, primarily using Python and C# or related backend technologies.
  • Contribute to the team’s engineering culture, ensuring best practices around testing, documentation, and performance.
What You’ll Bring
  • 7+ years’ experience delivering AI/ML systems in a production environment.
  • Strong track record in a Tech Lead-style role (architecture, design, mentoring), without needing to manage people formally.
  • Deep proficiency in Python and modern ML/LLM frameworks (e.g., PyTorch, TensorFlow, spaCy, scikit-learn).
  • Experience building LLM-driven systems and autonomous agents.
  • Strong understanding of MLOps, including CI/CD, orchestration, monitoring, and model lifecycle management.
  • Experience working with and Google ADK (or similar agent/LLM toolkits).
  • Solid grounding in traditional ML methods as well as cutting-edge generative approaches.
  • Background in backend engineering, ideally with C# or a similar strongly typed language.
  • Degree in Computer Science, AI, Statistics, or related field; postgraduate qualifications welcome but not essential.
We are looking to have this role filled ASAP and will move quick.