AI Fullstack Developer

Ascendix Technologies, founded in 1996, is a global software service company specializing in AI and PropTech. The company focuses on automating processes using AI solutions, customer-facing applications, and tailored back-office software. It is based in Dallas, Texas, with teams across Europe.

• 4+ years of commercial experience with JavaScript/TypeScript
• 3+ years of commercial experience with Node.js on the backend
• Experience building and maintaining REST/JSON APIs
• Solid understanding of authentication/authorization, error handling, and logging
• 2+ years of commercial experience with a modern front-end framework; Vue.js preferred (React experience acceptable with readiness to work in Vue)
• Experience building SPA dashboards, forms, data grids, and filters
• Experience working as a true full-stack developer owning both backend and frontend features end-to-end
• Strong knowledge of SQL and experience integrating applications with analytical/OLAP stores (Snowflake, Redshift, BigQuery, or similar)
• Experience integrating with external APIs and third-party services
• Good understanding of asynchronous programming, promises, and event-driven architectures
• Practical experience with Git and common branching/code review workflows (PRs, code reviews)
• Experience with unit/integration testing for backend and/or frontend
• Ability to collaborate with architects and data engineers (understanding of data models, ETL outputs, contracts)
• Experience with AI / LLM integrations (OpenAI, Claude, etc.) from Node.js

Nice to have:

• SQL
• REST
• Git
• AI

Languages:

• English (basic)

• Work as a full-stack engineer, owning features from API to UI
• Develop and maintain Node.js backend services for data ingestion, processing, and application logic
• Implement Vue.js frontend components and pages (forms, tables, filters, dashboards)
• Collaborate with solution architects and data engineers to consume and expose data from Snowflake and other data sources
• Align on data models and contracts between the application and the data warehouse
• Integrate with Chrome extension-based data capture flows, external data providers, and internal APIs
• Write clean, testable, maintainable code in both backend and frontend
• Participate in code reviews, refactoring, and technical design discussions
• Contribute to architecture and technical decisions for the MVP and further phases
• Collaborate with PM/BA and client stakeholders to clarify requirements and propose implementation options
• Help improve DevOps and delivery practices (logging, monitoring, basic CI/CD improvements)
• Continuously learn and adopt best practices around data-intensive systems and AI-assisted development