Description:
As an AI/ML Engineer, you’ll turn state-of-the-art models into production-grade systems that power national-scale change. You’ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
You’ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
What You’ll Do
- Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
- Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
- Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
- Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
- Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
You’ll Thrive Here If You…
- Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
- Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
- Can work across data pipelines, APIs, and production deployments with speed and precision.
- Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
- Want your work to matter to see it deployed across industries, governments, and communities.