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Dryft

Founding Full-Stack Engineer

Reposted One Month Ago
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
As a Founding Full-Stack Engineer, you'll create scalable intelligence systems utilizing algorithms and mathematical optimization for industrial applications.
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DRYFT

Dryft builds intelligent systems that automate complex human decisions in manufacturing operations

We’re a small, talent-dense team with modest roots and a love for the physical world - cars, machines, planes. Our team includes graduates from Stanford, Berkeley, CDTM, TUM, winners of Stanford TreeHacks, recipients of Fulbright & Haniel scholarships, and builders of everything from robots and race cars to software with millions of downloads.

We’re backed by the founders and leaders behind Amazon, Facebook, Stripe, Applied Intuition, & others; General Catalyst & Neo, and board members of global industrial companies.

Today, we’re already saving customers millions. But this is only the beginning. ERPs ran the physical world for half a century. Dryft is powering the next.

THE ROLE

As Founding Fullstack Engineer, you’ll be the brain behind Dryft’s decision intelligence. You’ll build scalable systems that combine agent-based reasoning with mathematical optimization and simulation on top of large-scale industrial data.

YOU
  • Like building scalable, interpretable, data-driven agents from all perspectives - algorithms, architecture and infrastructure.

  • Have a strong product sense and enjoy working directly with customers daily

  • Have shipped production code end-to-end, are strong in backend & infra and comfortable shipping basic frontend features.

  • Have built data-intensive, multi-tenant production systems with Redis, Postgres, and orchestration frameworks. Clickhouse experience is a plus.

  • Are ready to work onsite in SF (we support relocation & visa)

TECH STACK
  • FE (TypeScript): React, Chakra UI v3, TanStack Router, TanStack Query, Vite

  • BE (Python): FastAPI with Pydantic v2, SQLModel, Postgres with pgvector, dagster

  • AI: Pydantic AI, Langfuse

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