Senior AI-Native Full-Stack Engineer - Remote LATAM

Motorolasolutions

Neuquén

Remote

ARS 184,482,000 - 276,723,000

Full time

3 days ago

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Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft, a LATAM-based digital product company, seeks a Senior/Staff Software Engineer to drive AI-native development for a modern transaction platform. You will navigate a large codebase, design scalable backend services, and leverage AI coding agents to accelerate delivery.

This remote, contractor role emphasizes ownership, pragmatic architecture, and product-minded engineering in a fast-paced environment.

Qualifications

Strong professional experience building and operating production software systems.
Excellent software engineering fundamentals, including architecture, system design, debugging, testing, and maintainability.
Experience working with large or complex existing codebases.
Strong backend or full-stack engineering experience using modern programming languages and frameworks.
Experience building modern web applications and SaaS products.
Strong understanding of APIs, application architecture, integrations, data modeling, and distributed systems.
Experience with relational databases and production data environments.
Strong understanding of automated testing and modern software development practices.
Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.

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 continues to scale.
Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.
Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively throughout the software development lifecycle.
Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.
Build and evolve backend services, APIs, integrations, data models, and application workflows.
Contribute across the application stack when needed.
Strengthen automated testing, maintainability, 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 software quality and long-term maintainability.
Work closely with product leadership to translate business problems into effective technical solutions.
Help a small engineering team achieve significantly greater development leverage through AI-assisted engineering.