Senior AI-Native Engineer: Build AI-Powered SaaS (Remote)

Remote Jobs; Municipio de Rincón de los Sauces; Remote; ARS 215,229,000 - 292,096,000; Full time

Benefits offered by this job

Contractor agreement with payment in

USD payment (contractor)

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is hiring a Senior/Staff Software Engineer (AI‑Native) to join a LATAM remote team building an AI‑native SaaS platform for complex M&A workflows. You’ll own architectural decisions, navigate a large codebase, and drive reliability while leveraging AI coding agents to accelerate delivery.

The role focuses on production software engineering, not ML model training, with an emphasis on pragmatic design, maintainability, and product impact across backend and full‑stack components.

Qualifications

• Experience building and operating production software systems.
• Strong fundamentals: architecture, system design, debugging, testing, maintainability.
• Experience with large or complex existing codebases.
• Backend or full‑stack experience with modern languages/frameworks.
• Experience building modern web applications and SaaS products.
• Understanding of APIs, architecture, integrations, data modeling, distributed systems.
• Experience with relational databases and production data environments.
• Strong automated testing and modern software development practices.
• Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.
• Ability to reason through technical trade-offs and make pragmatic architectural decisions.
• Strong ownership and ability to work independently in evolving product environments.
• Product mindset: understand not only how to build, but why.

Responsibilities

• Navigate, understand, and evolve a large existing production codebase.
• Design and implement new product capabilities across a complex SaaS platform.
• Make pragmatic architectural and system design decisions as the product scales.
• Identify technical debt, risks, reliability issues, and improvement opportunities.
• Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively.
• Leverage AI agents to explore codebases, design implementations, generate/refactor code, debug, write tests, and accelerate delivery.
• Build and evolve backend services, APIs, integrations, data models, and workflows.
• Contribute across the application stack when needed.
• Strengthen automated testing, observability, reliability, and production readiness.
• Improve development workflows, tooling, automation, and engineering practices.
• Troubleshoot complex issues across application, data, and infrastructure layers.
• Balance development speed with quality and long-term maintainability.
• Work with product leadership to translate business problems into technical solutions.
• Help a small team achieve greater development leverage through AI-assisted engineering.

Skills

Production systems

Architecture & design

Codebase navigation

Backend development

Web apps & SaaS

APIs & architecture

Databases

CI/CD & DevOps

AI coding tools

Problem solving

Tools

Claude Code

OpenAI Codex

Cursor

GitHub Copilot

Windsurf

AI tooling

Job description

Darwoft is hiring a Senior/Staff Software Engineer (AI‑Native) to join a LATAM remote team building an AI‑native SaaS platform for complex M&A workflows. You’ll own architectural decisions, navigate a large codebase, and drive reliability while leveraging AI coding agents to accelerate delivery.

The role focuses on production software engineering, not ML model training, with an emphasis on pragmatic design, maintainability, and product impact across backend and full‑stack components.