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GigaGiga

Software Engineer I / II

Build backend systems powering AI agents for customer experience, including data pipelines, agent infrastructure, log visualization, and dynamic knowledge features. Requires 1-3 years experience, curiosity, quick iteration, and shipping focus in a startup environment.

About the job

What You'll Work On

  • Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
  • Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
  • Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
  • Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions

As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.

You Might Be a Fit If

  • 1-3 years of professional software engineering experience
  • Curious and ask good questions—you want to understand why things work, not just how
  • Can take feedback well and iterate quickly
  • Prefer shipping over perfection but still care about quality
  • Want to grow at a startup where you'll have real responsibility early

Perks & Benefits

  • Catered lunch daily
  • Dinner stipend
  • $150/month wellness benefit (gym, fitness classes, mental health)
  • 401(k) plan
  • Paid parental leave (12 weeks maternal, 6 weeks paternal)
  • Commuter benefits
  • Medical, dental, and vision coverage

Skills

Python, JavaScript, Slack Api, Data Pipelines, AI Infrastructure, Log Visualization, Natural Language Processing, Kubernetes, React, Postgres

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