
B2B âą Productivity âą SaaS
Virtual Assist is a service that provides expert virtual assistants to help business owners delegate busy tasks such as admin, emails, and social media management. By freeing up time, Virtual Assist enables clients to focus on growing their businesses and making impactful decisions without being overwhelmed by routine responsibilities. Whether for small business owners or financial advisors, the company aims to enhance productivity and streamline operations at a cost-effective rate.
2 days ago

B2B âą Productivity âą SaaS
Virtual Assist is a service that provides expert virtual assistants to help business owners delegate busy tasks such as admin, emails, and social media management. By freeing up time, Virtual Assist enables clients to focus on growing their businesses and making impactful decisions without being overwhelmed by routine responsibilities. Whether for small business owners or financial advisors, the company aims to enhance productivity and streamline operations at a cost-effective rate.
âą Build Complex Workflows: Design and deploy n8n automations (e.g., "When a user signs up, scrape their website, summarize it with an LLM, and update our CRM"). âą Create Dashboards: Use Lovable.dev to spin up user-facing dashboards and admin panels rapidly. âą Develop RAG Systems: Build backends where users can chat with PDF documents or specific datasets. âą Scripting: Write and deploy Python/JS scripts for data scraping, cleaning, or API middleware. âą Communication: Explain your code logic in clear spoken English via Slack/Zoom during US business hours.
âą Fluent English: Excellent spoken and written English is non-negotiable. âą EST Availability: You must be available to work during New York business hours (Night shift in PH). âą Experience: You must have used Cursor IDE or similar AI-assisted tools to speed up development. âą Automation: Expert-level n8n (building comprehensive, multi-step workflows). âą Frontend/Dashboards: Lovable.dev (using it to build clean, functional dashboards and internal tools). âą Backend Logic: Experience connecting complex APIs (REST/GraphQL). âą AI Architecture: Building RAG Models (Retrieval-Augmented Generation) to let AI interact with our data. âą Core Languages: Strong proficiency in Python or JavaScript (Node.js) to write custom script nodes and backend logic.
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