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Founding Fullstack Software Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Code Four
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 100000 - 250000 USD Yearly USD 100000.00 250000.00 YEAR
Job Description & How to Apply Below

Founding Fullstack Software Engineer at Code Four (P25)

Modernizing the police workflow.

San Francisco, CA, US Full-time US citizen/visa only 3+ years Google Cloud GraphQL Node.js Python Type Script Firebase Docker Next.js

Code Four is an AI‑first public‑safety startup that transforms hours of vision footage (think bodycams, security cameras, LPRs) into context in seconds, giving municipal, county, stateand federal agencies back thousands of administrative hours.

About the role

Skills: Next.js, Type Script, GCP, Distributed Systems, Realtime Video/Audio, GraphQL/REST

We’re looking for a fullstack
engineer to own massive slices of our product surface: from low‑latency video ingest to the interfaces officers use to review evidence and approve auto‑generated reports. You’ll work shoulder‑to‑shoulder with the founders, ship fast, and help define the engineering culture and architecture that powers mission‑critical workflows for law enforcement.

What You’ll Own

  • Event‑driven backend: Architect our Next.js / Type Script / GCP stack. Design schemas, queues, and webhook ingestion from BWC vendors, RMS/CAD, and DEMS to drive real‑time, personalized officer workflows.
  • ML integration surface: Productionize CV / VLM / ASR endpoints from our ML team and expose them through resilient APIs with strict latency/error budgets.
  • Evidence UX: Build intuitive dashboards that let officers review, redact, and approve reports with minimal clicks—while preserving full auditability.
  • Security & compliance: Enforce end‑to‑end encryption, audit logging, role‑based access, and CJIS controls across services.
  • System design & technical strategy: Decide how we scale to dozens of agencies, each with unique policies and templates, without sacrificing speed.

Technology

We've built multi‑modal machine‑learning pipelines — CV, VLMs, and automatic speech recognition models built inPyTorch andTensor

Flow — that detect objects, track scenes, caption footage and transcribe audio with sub‑second latency.

We’re building a multimodal system that can contextualize any law‑enforcement data source in real time.

San Francisco, CA, US / Remote (US) Full-time $100K - $250K 0.25% - 1.00% 3+ years

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