Senior/Staff Software Engineer for AI Infrastructure

Roc Search San Francisco Bay Area
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AI Summary

High-ownership engineering role building core product and infrastructure systems for a Series A AI startup. Responsibilities include real-time distributed systems, LLM-powered workflows, and AI reliability infrastructure. Ideal background includes experience building and shipping production software, applied AI systems, and next-gen developer tooling.

Key Highlights
High-ownership engineering role
Building core product and infrastructure systems
Real-time distributed systems, LLM-powered workflows, and AI reliability infrastructure
Key Responsibilities
Building core product and infrastructure systems
Real-time distributed systems
LLM-powered workflows
AI reliability infrastructure
Product development across backend + frontend systems
Scalable APIs and internal platform tooling
Technical Skills Required
TypeScript React Python Cloud infrastructure Distributed systems Modern AI/LLM tooling
Benefits & Perks
Competitive compensation
Meaningful equity
Hybrid work arrangement
Open to visa sponsorship
Nice to Have
Applied AI systems
Next-gen developer tooling

Job Description


Senior / Staff Software Engineer

San Francisco, CA (Hybrid)

$180K–$250K Base + Equity


We’re partnered with a Series A AI startup building infrastructure for enterprise customer interaction and communication workflows. Their platform combines real-time AI systems, orchestration layers, and adaptive conversational technology to help large organizations automate and scale high-touch interactions.

The company has already established strong early enterprise traction and is now expanding the engineering team after a recent funding round led by well-known investors in the AI and infrastructure space.


The Role

This is a high-ownership engineering role working directly alongside the founders and early team to build core product and infrastructure systems from the ground up.

Engineers here work across:

  • Real-time distributed systems
  • LLM-powered workflows and orchestration
  • AI reliability, latency, and evaluation infrastructure
  • Product development across backend + frontend systems
  • Scalable APIs and internal platform tooling
  • Tech Stack

    • TypeScript / React
    • Python
    • Cloud infrastructure + distributed systems
    • Modern AI / LLM tooling


    Ideal Background

    • Experience building and shipping production software
    • Strong product ownership mindset
    • Enjoys startup environments and moving quickly
    • Interested in applied AI systems and next-gen developer tooling
    • Full-stack, backend, or infrastructure backgrounds all relevant


    Additional Notes

    • Hybrid in San Francisco
    • Competitive compensation + meaningful equity
    • Open to visa sponsorship for the right candidate and situation


    • They are open to sponsoring candidates

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