Revic

Software Engineer – Applied AI

Revic

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $100,000 - $125,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Distributed Systems

About the role

  • Collect, collate and make useful data from 50+ data sources such as CRM, public data, communication streams
  • Design data pipelines that can do this across TBs of data, reliably
  • Design AI systems that can reason and act on messy data
  • Build applications and data consumption mechanisms that elevate a seller’s life and maximizes revenue instead of building the #45768 sales tech tool.
  • Balance accuracy, latency, and cost across thousands of concurrent agent runs

Requirements

  • 4+ years shipping production systems that scaled (not just survived)
  • You're obsessed with building the simplest possible solution for really complex problems
  • You measure progress in deployed features, not perfect plans
  • You've killed your darlings when simpler solutions emerged
  • You question everything, including your own assumptions
  • You can explain complex systems to a five-year-old
  • You're energized by problems everyone else thinks are impossible
  • You've unified data from 10+ disparate sources into something coherent
  • You've built systems that made decisions autonomously
  • You understand why "prompt engineering" isn't engineering
  • You've debugged distributed systems at 3am (and enjoyed it)
Benefits
  • Competitive base + meaningful equity (we're not another 0.001% shop)
  • Premium health, dental, vision - we take care of our people
  • Offsite - We trade slack for sunshine, every quarter we meet in-person
  • Work directly with customers, solving real problems.
  • Ship daily, learn instantly.
  • Your commits in production before your coffee gets cold
  • Uncapped growth — the kind that comes from building, not waiting

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data pipelinesAI systemsdata consumption mechanismsdistributed systemsdata unificationproduction systemsdebuggingprompt engineering
Soft skills
problem-solvingsimplicity in solutionsmeasuring progresscritical thinkingcommunicationadaptabilitycreativitycuriosity