Software Engineer, Enterprise
Scale AI · London, UK
CHECKED 15H AGO
Infrastructureonsitemid-level
At a glance
Highlights
- Build core infrastructure powering GenAI products for large enterprises.
- Scale GenAI workloads to production across hybrid and multi-cloud.
- Design scalable APIs and data systems for enterprise AI adoption.
Ideal candidate
Backend builder with 4+ years scaling distributed systems who thrives in fast-paced, collaborative teams and cares about taking GenAI from demo to reliable enterprise impact.
Requirements
- 4+ years developing large-scale backend or infrastructure systems
- Proficiency in Python or TypeScript with high-performance API design
- Familiarity with cloud infrastructure, Kubernetes, Docker and Terraform
- Experience with relational and NoSQL databases and data pipelines
- Hands-on experience deploying and scaling GenAI workloads in production
- Understanding of observability, CI/CD and security best practices
- Ability to ship reliable backend systems in fast-paced environments
- hiring process
- 90-day waiting period before reconsidering candidates
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta