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Platform Engineer

Engram· Member of Technical Staff
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San FranciscoFull-timePosted 4mo ago

About the role

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.

Responsibilities

  • 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 researchers and performance engineers within Engram and in deep collaboration with customers
  • Help build the engineering team and influence engineering culture as Engram scales

Qualifications

  • 5+ years of software engineering experience, building and scaling systems in a high-stakes environment
  • Experience building APIs or infrastructure that other developers consume: SDKs, multi-tenant platforms, developer tooling
  • You’ve taken a successful product or open-source project from zero to one
  • You’re product-driven and enjoy working across the stack
  • You’ve worked somewhere with a rigorous engineering culture, where security and reliability are top priorities

Skills

Required:Security-conscious data architectureData ingestion and preprocessingData observabilityAPI/infrastructure development
Nice to have:Collaboration with ML teams

Benefits

  • Competitive cash compensation and startup equity
  • In-person role based in San Francisco
  • Equal opportunity employer welcoming applicants from diverse backgrounds
Last updated Aug 4, 2026. Interested? Apply on the company site.

About Engram

AI has learned the world. Now it should learn yours.

Today’s AI models don’t understand what you do. Not really. Everything models know comes from their training – and they’re trained mostly on the public internet.

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