About the Opportunity
A chance to join a well-positioned AI infrastructure company at an inflection point who are moving from research into production deployments with real customers. You'll own the bridge between R&D and platform, turning cutting-edge ML research into production-ready services and building the infrastructure that underpins it all.
What You'll Do
- You'll own the integrations, deployment pipelines, and infrastructure that take ML research outputs and turn them into production-ready services
- You'll have the opportunity to contribute to and improve internal production pipelines, writing production-level code that directly enables customer projects
- You'll get the chance to participate in the development and testing of an AI platform that distributes workloads across high-performance GPGPU and multicore CPU hardware
- You'll have the opportunity to mentor junior engineers through code reviews and knowledge sharing, helping shape engineering culture as the team scales
What We're Looking For
- 7+ years of Python development experience on Linux and distributed systems
- Strong understanding of containerisation, CI/CD, and Kubernetes
- Proven track record of operating systems in production with ownership of subsystems
- Systems thinker with a strong eye for code quality and testability
- Degree in Software Engineering or a related field, or equivalent experience
Bonus
- Experience with SaaS products and AI development workflows
- Familiarity with cloud platforms — AWS, Azure, or GCP
- Exposure to ML frameworks such as PyTorch or TensorFlow
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