Founding AI Infra Lead — Backend & Distributed Systems

Generative Group

San Francisco (CA)

On-site

USD 180,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Equity

Job summary

Generative Group in San Francisco is seeking a Founding AI Infrastructure Engineer to build the shared infrastructure powering its AI agents. This is one of the first three hires, in-person, full-time, with a base around $200K and 4% equity.

You will own the backend and distributed systems, design the coordination layer for cross-department workflows, and set engineering standards as the company grows. You’ll work directly with the founder and early engineers to turn initial customer workflows

Qualifications

  • Extensive backend or distributed systems experience with production systems ownership.
  • Ability to balance performance, reliability, and cost in AI infrastructure.
  • Proven track record delivering from ambiguous brief to final product.
  • Excited to join a small, fast-moving team and influence what gets built.

Responsibilities

  • Design and build core backend and distributed systems powering AI agents.
  • Create shared context and coordination layer for cross-department workflows.
  • Make infrastructure decisions on execution, integrations, reliability, and compute efficiency.
  • Collaborate with founder and early team to ship customer workflows.
  • Set engineering standards and help scale the infrastructure team.

Skills

Backend development
Distributed systems
Production systems ownership
Performance & reliability
AI infrastructure interest

Job description

Generative Group in San Francisco is seeking a Founding AI Infrastructure Engineer to build the shared infrastructure powering its AI agents. This is one of the first three hires, in-person, full-time, with a base around $200K and 4% equity.

You will own the backend and distributed systems, design the coordination layer for cross-department workflows, and set engineering standards as the company grows. You’ll work directly with the founder and early engineers to turn initial customer workflows

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