[Hiring] Staff Software Engineer @Darwoft

Role Description

We're looking for a highly experienced Senior / Staff Software Engineer who can combine strong software engineering fundamentals with an AI-native engineering approach. 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.

• 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.

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.
• 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.

Requirements

• 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, and other AI coding agents or agentic development tools.
• 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, and accelerate delivery while maintaining engineering quality.
• 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.

Benefits

• Contractor agreement with payment in USD.
• 100% remote work.
• Argentina's public holidays.
• English classes.
• Referral program.
• Access to learning platforms.