About this role
## Platform Engineer — Engram ### About Engram Engram builds AI systems that learn from your context. Instead of treating users as strangers, Engram trains models to form **compact memories (“engrams”)** that capture knowledge and history—improving performance at inference time. ### About the Role You’ll be one of Engram’s first software engineers, partnering with ML researchers and performance engineers to build the **data infrastructure** behind Engram’s **personalization and continual learning API**. **You’ll focus on:** - Designing a **secure data storage architecture** for raw user context and per-user model weights - Building **performant ingestion and preprocessing** systems for regular continual training - Creating **data observability** for quality control and reproducibility - Implementing **reliable integrations** with customer APIs and other data sources This is a **founding hire** role: you’ll help set engineering standards (code review, testing, on-call, and security posture) and influence engineering culture as the team scales. ### What You Bring - **5+ years** of software engineering experience building and scaling systems in high-stakes environments - Experience building **APIs and infrastructure** other developers consume (SDKs, multi-tenant platforms, developer tooling) - Proven ability to take a product or open-source project from **0 → 1** - **Product-driven** mindset and comfort working across the stack - Experience in a rigorous engineering culture where **security and reliability** are top priorities **Bonus (nice to have):** - Background working with ML teams and familiarity with modern ML training/serving stacks - Prior early-stage experience ### Location & Work Style - **San Francisco (in-person)** ### Compensation - Competitive cash compensation and startup equity Engram is an **equal opportunity employer** and welcomes applicants regardless of race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, or veteran status.
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