Description
Summary We're looking for an experienced full-stack engineer to build Sourcr, an AI-powered platform that discovers warm consulting opportunities from a user's own LinkedIn and X feeds via a browser extension. Scope Build a Chrome extension (Manifest V3) that passively reads public posts already visible in a user's authenticated LinkedIn/X feed. Develop a backend to score opportunities against user profiles using AI. Generate personalized email pitches and DMs (copy only, never send automatically). Build a Company Scan feature that analyzes a company's website and careers page, returning a fit score, reasoning, and outreach suggestions. Implement saved opportunities, user feedback (like/dislike), and secure APIs. Tech Stack Open to your recommendations, but experience with TypeScript, React/Next.js, Node.js, Browser Extensions, PostgreSQL, OpenAI/Anthropic APIs, Vector Databases, Docker, and AWS is preferred. Requirements Proven experience building Chrome extensions. Experience shipping AI/LLM-powered applications. Strong full-stack architecture skills. Clean, scalable code and good communication. Important This product must not scrape platforms, automate scrolling, access DMs/private content, or perform actions on behalf of users. Protecting users' LinkedIn and X accounts is a strict requirement. When Applying Please include: Relevant browser extension projects. AI products you've built. Your preferred tech stack. A brief overview of how you'd approach this architecture. This is an MVP with the potential for long-term collaboration across multiple AI products. Doc Link: https://docs.google.com/document/d/1dqAiwfAOCuyTItT-mYVHHFnx0cVbTiDwepmeN2QxKE4/edit?usp=sharing