Senior AI-Native Software Engineer (Remote LATAM)

Digitailor

Santa Fe Capital

Remote

ARS 184,482,000 - 276,723,000

Full time

3 days ago
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Benefits offered by this job

Contractor USD
Remote work
Public holidays (Argentina)
English classes
Referral program
Learning platforms

Job summary

Darwoft is seeking a Senior/Staff Software Engineer to join our AI-native engineering team remotely from LATAM. The role focuses on production software systems and architectural decisions, leveraging Claude Code, Codex, and other AI coding agents to accelerate delivery.

You will navigate a large codebase, design capabilities for a modern transaction platform, and collaborate with cross-functional teams to improve reliability and scalability.

Qualifications

  • Experience building and operating production software systems.
  • Strong fundamentals in architecture, design, debugging, testing, maintainability.
  • Experience with large or complex codebases.
  • Experience designing modern web apps and SaaS products.

Responsibilities

  • Navigate and evolve a large production codebase.
  • Design and implement new product capabilities across a SaaS platform.
  • Make pragmatic architectural decisions as the product scales.
  • Leverage AI coding agents throughout the lifecycle.
  • Build backend services, APIs, data models, and workflows.
  • Improve testing, observability, and production readiness.
  • Collaborate with product leadership to translate problems into solutions.

Skills

Production software
Architecture & design
Large codebases
Backend / Full-stack
APIs & microservices

Tools

Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf
AI coding agents

Job description

Darwoft is seeking a Senior/Staff Software Engineer to join our AI-native engineering team remotely from LATAM. The role focuses on production software systems and architectural decisions, leveraging Claude Code, Codex, and other AI coding agents to accelerate delivery.

You will navigate a large codebase, design capabilities for a modern transaction platform, and collaborate with cross-functional teams to improve reliability and scalability.

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