Fullstack Developer
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Senior Fullstack Engineer (React/TypeScript/AI-Assisted Development) · LATAM
- Location: Anywhere in LATAM
- Work Model: 100% Remote
- Engagement: Full-time Contractor
- Project: FinTech · Customer Experience Operations Platform
- English Level: Advanced
- Seniority: Senior
Commitment & Focus
This role requires full‑time dedication, with clear priority given to Darwoft projects during the established working hours. It is not compatible with other full‑time professional engagements.
Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities, availability, or working hours required for this role.
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 world. Our remote‑first culture is built on trust, continuous learning, collaboration, and strong engineering standards.
We're passionate about technology, but even more about the people behind it. If you're looking for an environment where your ideas matter, experimentation is encouraged, and your impact is tangible, welcome to Darwoft.
About the Role
We're looking for a Senior Fullstack Engineer with a strong frontend focus to join a high‑impact international FinTech project building an internal Customer Experience Operations Platform.
The platform provides the tools customer experience agents and supervisors rely on every day to manage queues, assignments, conversations, agent availability, dashboards, metrics, and operational workflows.
You'll primarily design and ship agent‑facing experiences using React and TypeScript, working within a modern, modular frontend architecture while collaborating closely with the backend services and APIs that power the platform.
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 Doing
- Design, 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.