Remote Qa Coder For Ai Code-Generation (Latam)

Outlier

Ciudad de Mendoza

Remoto

ARS 184.482.000 - 276.723.000

Tempo integral

Há 3 dias

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Benefícios oferecidos por esta vaga

Remote work

USD payment

Learning platforms access

English classes

Referral program

Resumo da vaga

Darwoft is seeking a Senior/Staff Software Engineer to join an AI-native transaction platform project. You will work remotely across LATAM, shaping architectural decisions, ensuring reliability, and accelerating delivery with AI coding agents.

This role emphasizes building production software in a fast-growing environment with strong engineering standards. The ideal candidate will own complex systems, navigate large codebases, and collaborate with product leadership to translate business

Qualificações

Experience building and operating production software systems.
Strong fundamentals in architecture, system design, debugging, testing, and maintainability.
Experience with large or complex existing codebases.

Responsabilidades

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 observability.
Leverage AI coding agents (Claude Code, Codex, Copilot) throughout the lifecycle.
Build and evolve backend services, data models, and workflows.
Strengthen automated testing and production readiness.
Improve development workflows and tooling.

Conhecimentos

Production software

Architecture design

Large codebases

Backend / full-stack

Web apps & SaaS

APIs & distributed systems

Cloud & CI/CD

Ferramentas

Claude Code

OpenAI Codex

Cursor

GitHub Copilot

Descrição da vaga

Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) · LATAM

Location: Anywhere in LATAM
Job Type: 100% Remote
Engagement: Full-time Contractor
Payment: USD
Project: AI-Native LegalTech / M&A SaaS Platform
Seniority: Senior / Staff
English Level: B2 / C1

Get to Know Darwoft

At Darwoft, we build digital products with heart. We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the globe.

Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards. We work with international teams solving complex product and technology challenges where our engineers can have a direct impact on the product.

If you're looking for a place where your technical judgment matters and where you can contribute beyond simply executing tickets, welcome to Darwoft.

About the Opportunity

We're partnering with an innovative software company building a modern transaction platform for organizations managing complex M&A processes.

The platform brings together document workflows, collaboration, approvals, diligence, transaction management, and AI-powered capabilities within a single SaaS product.

What makes this opportunity particularly different is the way the engineering team builds software.

The product has been developed using an AI-native engineering approach , with tools such as Claude Code, OpenAI Codex, and other AI coding agents deeply integrated into the development workflow.

We're looking for a highly experienced Senior / Staff Software Engineer who can combine strong software engineering fundamentals with this new way of building software.

This is not a traditional AI/ML Engineer role .

You won't be training machine learning models or working primarily on Data Science. Instead, you'll be engineering production software, navigating a large existing codebase, making architectural decisions, improving reliability, and using AI coding agents to dramatically increase development velocity.

The ideal person is a builder first : highly technical, pragmatic, product-oriented, low-ego, and comfortable taking ownership of complex systems.

What You'll Be Doing

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.

What You Bring

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.
Ability to reason through technical trade-offs and make pragmatic architectural decisions.
Strong ownership and ability to work independently in an evolving product environment.
Product mindset: you understand not only how to build something, but also why it should be built.

AI-Native Engineering Experience

Hands-on experience using AI development tools is especially important for this position.

We're particularly interested in engineers who actively use tools such as:

Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf
Other AI coding agents or agentic development tools

More importantly, we're looking for someone who uses AI beyond code completion.

You should be comfortable using AI to:

Understand unfamiliar codebases.
Investigate architecture and dependencies.
Design implementations.
Generate and refactor production code.
Debug complex issues.
Create and improve automated tests.
Review code and identify potential issues.
Automate repetitive engineering tasks.
Accelerate delivery while maintaining engineering quality.

We're looking for someone who sees AI as a core engineering tool , while still bringing the technical judgment required to make strong software and architectural decisions.

Nice to Have

Experience working in early-stage or high-growth product companies .
Previous experience as a Staff Engineer, Principal Engineer, Tech Lead, Founding Engineer, or similar high-ownership role .
Experience building AI-powered SaaS products.
Experience integrating LLMs or AI APIs into production applications.
Experience with document-heavy or workflow-intensive platforms.
Experience designing authorization systems, permissions, RBAC, and auditability.
Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.
Experience improving engineering productivity through developer tooling and automation.

What Success Looks Like

Success in this role goes beyond writing more code.

You'll help the team ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform .

The goal is to combine strong engineering judgment with AI-native development practices to dramatically increase what a small engineering team can build.

What Darwoft Offers