Senior AI-Native Engineer — Remote (LATAM)

Anyone Ai Inc.

Buenos Aires

Remote

ARS 184,482,000 - 292,096,000

Full time

2 days ago
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Benefits offered by this job

Contractor payment in USD
Remote work (100%)
Argentine holidays
English classes
Referral program
Learning platforms

Job summary

Darwoft seeks a Senior/Staff Software Engineer to drive AI-native development for an AI-Native LegalTech / M&A SaaS platform. You will work remotely across LATAM, tackle large codebases, design scalable systems, and lead architectural decisions while leveraging Claude Code, Codex, and other AI coding agents to accelerate delivery.

You’ll balance speed with reliability, own critical software delivery, and collaborate with product leadership to translate business problems into robust technical

Qualifications

  • Production-grade software engineering with strong fundamentals.
  • Experience with large codebases and backend/SAAS.
  • Familiarity with APIs, data modeling, and distributed systems.

Responsibilities

  • Navigate and evolve a large production codebase.
  • Design and implement new product capabilities across the SaaS platform.
  • Make pragmatic architectural decisions as the product scales.
  • Identify technical debt and reliability issues for improvement.
  • Use Claude Code, Codex, Cursor, or Copilot extensively throughout design and development.
  • Improve automated testing, observability, and deployment workflows.

Skills

Production software
Architecture
Large codebases
Backend development
APIs
Data modeling
Distributed systems
Databases
CI/CD
Ownership
Product mindset

Tools

Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf

Job description

Darwoft seeks a Senior/Staff Software Engineer to drive AI-native development for an AI-Native LegalTech / M&A SaaS platform. You will work remotely across LATAM, tackle large codebases, design scalable systems, and lead architectural decisions while leveraging Claude Code, Codex, and other AI coding agents to accelerate delivery.

You’ll balance speed with reliability, own critical software delivery, and collaborate with product leadership to translate business problems into robust technical

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