Senior Full-Stack Engineer (Must: Python & React)

Santex is a global Certified B technology company as well as one of North America's fastest-growing companies, according to the Inc. 5000. It’s present in 18 countries and over 100 cities, and headquartered in Argentina with offices in the United States, Mexico, and Peru.

Its two service lines — AI Tech Consulting and AI-Optimized Engineering — help organizations comprehensively adopt technology, expand their capabilities, and improve business outcomes at scale.

The same approach defines its culture: Santex has 80.4% employee engagement (global average: 21%), 8% annual turnover (tech sector: 20–25%), 9,369 training hours invested in 2025 — more than double the global average —, and a 26.5% year-over-year reduction in carbon footprint, achieving carbon neutrality through offsetting.

Santex. A company with purpose and judgment. Yes, it's possible.

We are an Equal Opportunity Employer and are committed to fostering an inclusive and diverse workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. All qualified applicants will receive consideration for employment without regard to any of these factors. We strongly encourage candidates from all backgrounds to apply.

The Capability Map portion of EP 2.0 initiative is focused on building the canonical enterprise representation of platform capabilities and enabling AI-powered knowledge discovery across the organization. The platform is evolving from a generated catalog into a live, AI-enriched capability map that supports chatbot experiences, roadmap insights, gap analysis, and graph-oriented knowledge outputs.
The product currently includes React-driven capability and domain experiences, asynchronous API-fed content refresh patterns, capability normalization and tree-building logic, filtering across nested hierarchies, implementation scoring, maturity visualization, and chatbot integration backed by the Enterprise Knowledge Base API.
We are looking for engineers who are comfortable working across frontend product engineering, Python-based data processing, hierarchical data modeling, and AI integration. The ideal candidate can translate complex business capability structures into intuitive, trustworthy, and visualization-friendly user experiences while applying strong engineering discipline to AI-assisted solutions.

Responsibilities:

• Build and extend React experiences for capability map exploration, search, filtering, scoring, and discovery.
• Maintain Python scripts that ingest, normalize, and transform capability taxonomy data from APIs.
• Improve data-shaping and tree-building logic that powers hierarchical UI experiences and map navigation.
• Integrate evolving Knowledge Base and AI services into catalog workflows and discovery experiences.
• Validate AI-assisted code, UI generation, and data transformations with rigorous engineering standards.
• Work within a micro-frontends module architecture in a monorepo environment and integrate with Orchestrator APIs.
• Contribute to experimentation, testing, build reliability, deployment automation, and engineering best practices.

Qualifications:

• Strong React 19 engineering experience with modern component patterns and asynchronous UI flows.
• Passionate about Web Vitals, Real User monitoring, experimentation.
• Experience building complex interactive UIs such as graph editors, workflow builders, diagramming tools, low-code tools, or canvas-heavy applications, hierarchical data structures, taxonomies.
• Strong frontend state management skills, including React Context + reducer patterns and interaction history such as undo/redo.
• Strong Python experience in data processing, scripting, automation, and API integration.
• Experience building data-heavy applications with advanced search, filtering, and discovery capabilities.
• Experience integrating REST APIs, STOMP/Websocket and backend-driven content sources.
• Practical testing experience with Vitest, Playwright, or equivalent testing frameworks.
• Experimented with Generative UI and MCPs
• Strong communication skills and ability to collaborate across business and technical stakeholder groups.
• Comfort working in evolving environments where AI capabilities and requirements continue to expand.