AI Code Orchestration: Lead the development of integrations using tools such as Antigravity, Claude Code, Cursor and Copilot, directing LLMs (GPT-4, Claude 3.5 Sonnet) for technical execution.
Flow Development: Design and maintain complex automations in n8n, connecting multiple APIs to streamline business processes.
Architecture and Maintainability: Implement serverless services (AWS Lambda, Google Cloud Functions) and establish code standards and semantic documentation to enable future autonomous maintenance by AI agents.
Business Collaboration: Act as a consultant to Operations teams (Support, Implementation, and Customer Success), participating in technical discoveries to validate integration hypotheses.
Technical Leadership: Serve as a technical reference for the team, promoting best practices and an AI-first mindset in daily work.

AI Skills: Proven, hands-on experience with AI agents and command-line interfaces (CLIs) for coding and system manipulation.
Technical Stack: Strong command of TypeScript and Node.js.
Integration Tools: Practical experience with n8n or other iPaaS tools, and proficiency with REST and GraphQL APIs.
Cloud and Logical Design: Knowledge of serverless environments (AWS or Google Cloud) and the ability to translate business requirements into specifications for AI.
Differentials: Experience with Python (data-focused) or Go (high-performance).
Infrastructure and Data Ecosystem: Experience with Infrastructure as Code (SST or AWS CDK) and data tools (BigQuery, Firestore).
Testing and Community: Practice with automated testing and active participation in AI communities or open-source projects.

Mid-level Integration Analyst

Key skills