Senior AI-Native Engineer — Remote (LATAM)

Remote Jobs; Ciudad de Mendoza; Remote; ARS 240,196,000 - 360,293,000; Full time

Benefits offered by this job

100% remote work

English classes

Learning platforms

Referral program

Job summary

Darwoft seeks a Senior/Staff Software Engineer to join an AI-native, Claude-driven development culture. You will work on a modern transaction platform, navigate a large codebase, and drive architectural decisions with a strong emphasis on reliability and velocity.

You will own production software systems end-to-end, collaborating across teams and time zones while contributing to AI-assisted engineering practices.

Qualifications

• Strong production software experience and ownership of live systems.
• Excellent fundamentals in architecture, system design, debugging and testing.
• Experience with APIs, distributed systems, and data modeling.
• Familiar with cloud environments, CI/CD, and production operations.
• Ability to reason about trade-offs and make pragmatic decisions.

Responsibilities

• Navigate and evolve a large production codebase.
• Design and implement new capabilities across a complex SaaS platform.
• Build AI-assisted features and integrate Claude Codex/GPT tools.
• Improve development workflows, tooling, and automation.
• Work with product leadership to translate business problems into technical solutions.
• Ship features with reliability, testing, and observability in mind.
• Collaborate with remote teams across time zones.

Skills

Production software systems

Architecture

System design

Debugging

Testing

Maintainability

APIs

Distributed systems

Cloud environments

CI/CD

Ownership

Independent work

Product mindset

Tools

Claude Code

OpenAI Codex

AI coding agents

Job description

Darwoft seeks a Senior/Staff Software Engineer to join an AI-native, Claude-driven development culture. You will work on a modern transaction platform, navigate a large codebase, and drive architectural decisions with a strong emphasis on reliability and velocity.

You will own production software systems end-to-end, collaborating across teams and time zones while contributing to AI-assisted engineering practices.