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Darwoft, a remote-first LATAM software company, seeks a Senior/Staff Software Engineer to shape an AI-native SaaS platform. You will work on a large, complex codebase, make architectural decisions, and leverage AI coding agents to accelerate delivery while maintaining quality.
This role focuses on production software engineering rather than ML model training, with strong emphasis on API design, reliability, and scalable systems in a distributed environment.
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.
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.
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:
More importantly, we're looking for someone who uses AI beyond code completion.
You should be comfortable using AI to:
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.
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.
Explore this and other opportunities at: