Source description
About the role
Typically requires 6–8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
You bring strong software engineering experience building and operating scalable backend systems, with deep expertise in Python development
You have experience building AI-powered product experiences or backend systems that support AI and ML workflows, ideally including AI agents, prompt orchestration, or evaluation tooling
You are comfortable working with schema-validated LLM interactions, prompt structures, context management, and production safeguards for reliable AI behaviour
You have experience with cloud infrastructure on GCP and understand how to design systems with strong observability, resilience, and operational clarity
You independently solve complex technical problems, exercise sound judgment, and contribute effectively within cross-functional teams
You have experience using experimentation, instrumentation, monitoring, and feedback loops to improve system quality and product outcomes over time
You collaborate effectively across disciplines, communicate clearly with technical and non-technical partners, and demonstrate ownership from insight through delivery
You use AI thoughtfully in your own work to improve efficiency, quality, and learning, while applying responsible, inclusive, and human-centred practices in how AI is developed and deployed
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