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 idóneo 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 newtform.A key aspect of this opportunity is the way the team approaches software development.We're looking for engineers with an agentic development mindset: people who actively use AI coding assistants, LLM agents, automation, and AI-assisted engineering workflows to prototype faster, solve problems, generate and validate code, improve testing, accelerate debugging, and increase overall engineering productivity.This is not simply about using AI autocomplete.
We're looking for engineers who are comfortable incorporating tools such as Cursor, Claude Code, GitHub Copilot, coding agents, custom scripts, or AI-assisted specifications into their day-to-day development process while maintaining strong engineering judgment and ownership.You'll work closely with Product, CX stakeholders, designers, and backend engineers to turn operational requirements into reliable, intuitive, and scalable user experiences.What You'll Be DoingDesign, develop, and maintain React / TypeScript features across CX domain modules, including operations tooling, agent presence, inbox workflows, queues, assignments, and internal applications.Build and evolve reusable UI components, forms, tables, filters, dashboards, and complex operational workflows.Work with technologies and patterns including Tailwind CSS, Tremor, Radix/shadcn, and Storybook.Apply AI-assisted and agentic software engineering practices to accelerate prototyping, implementation, testing, refactoring, documentation, and debugging.Experiment with AI coding agents and automated workflows to improve engineering productivity and development quality.Build data-driven interfaces using TanStack Query, React Router, react-hook-form, and Zod.Integrate frontend applications with BFF and backend APIs.Work within a micro-frontend architecture using Rspack and Module Federation, respecting domain boundaries and monorepo conventions.Collaborate on API design and integration with FastAPI backend services, including OpenAPI contracts and BFF endpoints.Ensure end-to-end correctness across workflows involving queues, agents, assignments, conversations,



and operational metrics.Contribute to authorization-aware UX aligned with gateway permissions and domain-level capability models.Troubleshoot issues across the frontend BFF backend stack using both traditional debugging techniques and AI-assisted workflows.Ensure the reliability, accessibility, and performance of agent-critical workflows running in production.Participate in code reviews, architecture discussions, technical decision-making, and engineering best practices around type safety, linting, testing, and maintainability.What You Bring8+ years of software engineering experience, with a strong frontend-oriented background.Strong production experience with React and TypeScript.Hands-on experience actively using AI development tools and agentic workflows such as Cursor, Claude Code, GitHub Copilot, coding agents, AI-assisted specifications, or similar tooling.Ability to use AI as part of the engineering workflow while maintaining ownership over architecture, code quality, testing, and technical decisions.Experience building complex product interfaces involving forms, tables, filters, dashboards, and multi-step workflows.Strong understanding of modern frontend development practices and component-driven architectures.Experience with modern bundlers such as Webpack, Rspack, or Vite.Experience with Tailwind CSS or similar modern styling frameworks.Experience consuming REST APIs and working with OpenAPI-based services.Ability to debug and troubleshoot issues across frontend and backend boundaries.Experience with modern state management and server‐state patterns such as TanStack Query, React Context, and hooks.Strong debugging, problem‐solving, and technical decision‐making skills.Ability to collaborate effectively with Product, Engineering, and operational stakeholders.Advanced English proficiency, both spoken and written.Nice to HaveExperience designing or integrating AI‐agent workflows, AI‐powered interfaces, or automated support operations.Exptecture, 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
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
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