Design, build, and maintain data pipelines that power AI research and experimentation workflows
Develop backend services and APIs that give researchers clean, reliable access to data at scale
Work directly with researchers and AI builders to understand their data needs and translate them into robust engineering solutions
Improve data infrastructure reliability, observability, and performance
Debug and resolve data quality issues, identifying root causes and sharing learnings broadly
Contribute to internal tooling and paved roads that make it easier for the team to work with data consistently

Strong Python expertise with experience building production-grade data pipelines or backend services
Experience with data engineering patterns, including batch processing, streaming, data quality, and pipeline orchestration
Experience working with Kubernetes or similar container orchestration environments
Solid software engineering fundamentals, including clean APIs, testing, and observability
Experience supporting or working closely with research, data science, or ML teams
Strong debugging and problem-solving skills
Ability to manage multiple workstreams and communicate clearly with both technical and non-technical stakeholders
Collaborative mindset with a genuine focus on enabling others to move faster
Familiarity with PyTorch or other ML frameworks is nice to have

Equity packages
we want our success to be yours too
Inclusive parental leave policy that supports all parents & carers
An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Python Backend Engineer – AI Platform Enablement

Key skills