Senior AI-Native Software Engineer (Remote LATAM)

Gbs Group

Municipio de Rincón de los Sauces

Remote

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

Full time

2 days ago
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Benefits offered by this job

USD payment
100% remote
Argentina holidays
English classes
Referral program
Learning platforms

Job summary

Darwoft is hiring a Senior/Staff Software Engineer for an AI-native platform in LATAM. You will work on a modern transaction platform with AI tooling, navigate a large codebase, and influence architecture and delivery with an emphasis on reliability and velocity.

The role emphasizes production software, not ML training, and requires strong backend/full-stack skills, with hands-on use of AI agents to accelerate development while maintaining quality.

Qualifications

  • Proven experience building and operating production software systems.
  • Strong fundamentals in architecture, system design, debugging, testing, and maintainability.
  • Experience with large or complex existing codebases and SaaS products.

Responsibilities

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

Skills

production software systems
architecture
system design
large codebase experience
backend or full-stack
APIs
cloud environments
CI/CD
observability
ownership
product mindset

Tools

Claude Code
OpenAI Codex
Cursor
Copilot
Windsurf

Job description

Darwoft is hiring a Senior/Staff Software Engineer for an AI-native platform in LATAM. You will work on a modern transaction platform with AI tooling, navigate a large codebase, and influence architecture and delivery with an emphasis on reliability and velocity.

The role emphasizes production software, not ML training, and requires strong backend/full-stack skills, with hands-on use of AI agents to accelerate development while maintaining quality.

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