Senior AI-Native Software Engineer — Remote (LATAM)

Kake

Ciudad de Mendoza

Remote

ARS 181,747,000 - 272,620,000

Full time

11 days ago

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Benefits offered by this job

Contractor payment in USD
Remote work
Argentina's public holidays
English classes
Referral program
Learning platforms

Job summary

Darwoft is seeking a Senior/Staff Software Engineer (AI-Native) for LATAM, fully remote. You will work on an AI-native platform for M&A SaaS, leveraging Claude Code, Codex, and other AI agents to accelerate delivery while maintaining strong software fundamentals.

The role focuses on production software engineering, navigating a large codebase, architectural decisions, reliability, and building scalable backend services in a fast-growing product environment.

Qualifications

  • Production software experience in live systems.
  • Strong fundamentals: architecture, design, debugging, testing, maintainability.
  • Experience with large or complex existing codebases.

Responsibilities

  • Navigate and evolve a large production codebase.
  • Design and implement new capabilities across a SaaS platform.
  • Make pragmatic architectural decisions as the product scales.
  • Identify technical debt, risks, and reliability issues; propose improvements.
  • Leverage Claude Code, Codex, Cursor, Copilot, or similar AI agents throughout the lifecycle.
  • Build and evolve backend services, APIs, data models, and workflows.
  • Strengthen automated testing, observability, and production readiness.

Skills

Production software
Architecture design
Large codebases
Backend / Full-stack
Web apps, SaaS
APIs
Distributed systems
Cloud CI/CD
Automated testing

Tools

Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf

Job description

Darwoft is seeking a Senior/Staff Software Engineer (AI-Native) for LATAM, fully remote. You will work on an AI-native platform for M&A SaaS, leveraging Claude Code, Codex, and other AI agents to accelerate delivery while maintaining strong software fundamentals.

The role focuses on production software engineering, navigating a large codebase, architectural decisions, reliability, and building scalable backend services in a fast-growing product environment.

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