About

About the Role We are building an AI-powered research and content automation system for the fitness, wellness, and brand-marketing space. The goal is to create a bot that can: Automatically research competitors Understand brand, creator, podcast, and cultural trends Analyze content across IG / websites / podcasts Judge whether each piece of information fits our content direction And finally generate social-media scripts (IG/TikTok) in our established storytelling style We are looking for an engineer who is skilled in automation (n8n/Zapier), scraping APIs, LLM pipeline design, vector databases, and AI-agent frameworks. This is a hybrid role combining: technical automation + AI agent design + content intelligence What You Will Build You will develop of a multi-channel AI research system with three input streams: 1. Instagram Competitor Research Automation Build a pipeline that can: Pull competitor posts via instgram Extract post caption + engagement metrics (optional) Detect high-engagement content and prioritize analysis(optional) Convert posts into structured insights for our content engine 2. Competitor Website & Blog Crawler Build automation for: Crawling competitor websites/blogs (respecting all legal/robots.txt rules) Extracting article text Summarizing content using LLMs Identifying patterns, frameworks, marketing angles Storing the cleaned insights into a vector database 3. Podcast / Founder Interview Intelligence Develop a podcast analysis pipeline: Pull YouTube podcast audio Convert to transcript Segment transcript into thematic blocks Identify brand philosophy, marketing insights, cultural trends Rate content relevance based on our style and audience Core Output: AI Script Generator All data from the three channels will feed into a central "Content Intelligence Layer". You will build a system where the AI: Understands our content style Learns our voice through examples Judges whether new information fits our content channel Automatically generates IG/TikTok short-form scripts Ensures alignment with our content tone (simple, direct, concrete, brand-focused) Responsibilities Architect and build the full multi-channel research automation system Setup workflows using n8n (preferred) or equivalent (Zapier, Make, LangChain Agents) Integrate APIs (Instagram Graph API, YouTube, RSS, etc.) Build or integrate speech-to-text pipelines (Whisper or similar) Create structured LLM prompts and JSON output formats Build and manage a vector database to store research outputs Implement relevance scoring and auto-filtering logic Develop a final script-generation agent using OpenAI or similar models Document workflows and create a scalable system that can run weekly/daily automatically Required Skills Strong experience with n8n or similar workflow automation tools Experience building LLM automation using OpenAI / LangChain / Agents Knowledge of scraping (legal, API-first preferred) Experience with vector databases (Pinecone, Supabase Pgvector, Qdrant, etc.) Ability to design complex pipelines (multi-step research → analysis → scoring → generation) Solid understanding of prompt engineering & structured LLM outputs Ability to translate unstructured media (blogs, IG posts, podcasts) into structured insight Strong problem-solving and ability to build autonomous systems