Founding Full-Stack Engineer
Dryft
| Company | Dryft |
| Category | Engineering |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 7 Aug 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
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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