Staff Software Engineer (AI-Native/ClaudeCode)

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.