Senior AI-Native Engineer — Remote (LATAM)

Fullstack; Municipio de Rincón de los Sauces; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior/Staff Software Engineer to help build an AI-native transaction platform for M&A SaaS. This fully remote, LATAM-friendly role centers on engineering production systems, navigating a large codebase, and making architectural decisions with AI coding agents.

You will design product capabilities, strengthen reliability, and collaborate with product leadership to translate business problems into technical solutions, using Claude Code, Codex, and other AI tools to

Qualifications

• Production software experience with practical system design and maintenance.
• Strong fundamentals in architecture, debugging, testing, and maintainability.
• Experience working with large or complex existing codebases.
• Proficiency in backend or full-stack development for modern web apps and SaaS.

Responsibilities

• Navigate 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.
• Identify technical debt and reliability issues and improve systems.

Skills

Production systems

Architecture & design

Large codebases

Backend/full-stack

Web apps SaaS

APIs & distributed systems

Relational databases

Testing & DevOps

Cloud & CI/CD

Ownership & independence

Product mindset

Education

Bachelor's degree

Tools

Claude Code

OpenAI Codex

Cursor

GitHub Copilot

Windsurf

Job description

Darwoft is seeking a Senior/Staff Software Engineer to help build an AI-native transaction platform for M&A SaaS. This fully remote, LATAM-friendly role centers on engineering production systems, navigating a large codebase, and making architectural decisions with AI coding agents.

You will design product capabilities, strengthen reliability, and collaborate with product leadership to translate business problems into technical solutions, using Claude Code, Codex, and other AI tools to