Platform Engineer

You’ll be one of Engram’s first software engineers, joining a team of machine learning researchers and performance engineers in building our personalization and continual learning API, which powers models and agents that learn from user context.

This role will focus on architecting and implementing the data infrastructure underpinning our service. This includes:

• Designing a secure data storage architecture for raw user context and per-user model weights
• Developing performant systems for ingesting and preprocessing data on a regular basis for continual training
• Building data observability for quality control and reproducibility
• Reliable integrations with customer APIs and other data sources

You'll be a major architect of this system, working alongside our researchers and performance engineers within Engram and in deep collaboration with our customers (AI-native application-layer companies like Notion and Harvey). The architecture will be shaped by the constraints and requirements of our R&D work. There are no walls between product, research, and engineering here; delivering on our mission requires a multidisciplinary approach.