Senior Ai-Native Engineer — Remote Latam

Senior/Staff Software Engineer (AI-Native/Claude Code/Codex)
· LATAM
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Location:
Anywhere in LATAM
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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