Founding Full-Stack Engineer
Dex
San Francisco, CA0–5 yrs26m agovia LinkedIn
Posted 14 Nov 2026, 00:42 ET
This job at a glance
- Who can apply
- New grads and up to 5 years
- Must know
- OperationsData structures & algorithmsProduct managementPostgreSQLRedisNetworking
- Work
- On-site in San Francisco
- Pay
- Not stated by the employer.
- Skill demand
- Data structures & algorithms36%Product management19%Operations17%PostgreSQL5%of 58 similar entry-level jobs posted in the US this week
- Listed
- Nov 14, 2026 · still open
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About the Role
This role is with one of Dex's trusted partner companies. The company builds AI agents that automate strategic decisions in manufacturing operations, sitting on top of existing ERPs to handle procurement, inventory, and daily operational calls. They are backed by leading VCs and prominent founders and are growing rapidly.
Key Responsibilities
- Design and implement the core algorithms and architecture for AI agents making strategic operational decisions.
- Build and own end-to-end features, from backend infrastructure to customer-facing interfaces, without product manager abstraction.
- Develop scalable, interpretable, data-driven agents across the full stack: algorithms, architecture, and infrastructure.
- Work directly with manufacturing customers to understand their needs and deploy solutions that save them millions.
- Lay the foundational systems and infrastructure that will support a rapidly growing engineering team.
Requirements & Tech Stack
- Shipped production code end-to-end.
- Strong background in backend and infrastructure.
- Comfortable building frontend features.
- Experience building data-intensive, multi-tenant production systems using Postgres, Redis, and an orchestration framework.
- Strong product sense.
- Eager to engage directly with customers daily.
- Willingness to work onsite in San Francisco on a demanding schedule.
- Relocation and visa support are available.
Qualifications
- You are within roughly five years of graduating university.
- Ready to take on foundational engineering challenges.