About Us Paragon International, Inc. is a U.S.-based manufacturer of commercial concession equipment and food service products. We receive purchase orders from customers such as Amazon, Home Depot, distributors, school systems, and other commercial customers. Orders arrive by email in many different formats, including PDFs, Word documents, Excel spreadsheets, scanned documents, and occasionally photographed purchase orders. We are looking for an experienced AI Automation Engineer to design and build a production-ready system that automates our entire order intake process. This is not a simple chatbot project. We need someone who has successfully built business automation systems that combine AI, OCR, document processing, APIs, and workflow automation. Project Overview The system will monitor one or more Gmail inboxes continuously and automatically process incoming emails and attachments. The workflow should: * Monitor Gmail 24/7 for new incoming emails. * Download all attachments automatically. * Read: * PDF files * Microsoft Word documents * Excel spreadsheets * Scanned PDFs * Image files (JPG, PNG, TIFF, etc.) * Photographs of purchase orders * Use OCR when required. * Use AI to determine whether the email is: * Purchase Order * Quote Request * Cancellation * Return/RMA * Customer Inquiry * Other * Identify the customer automatically. * Extract all order information into a standardized data structure. * Detect duplicate purchase orders. * Automatically print valid purchase orders to our network printer. * Save documents into organized folders. * Rename files using a consistent naming convention. * Move processed emails into Gmail folders/labels. * Generate logs for auditing and troubleshooting. ## Future Phases The initial project focuses on reliable document processing and printing. Additional phases may include: * Sage 100 ERP integration * Automatic sales order creation * Inventory verification * Customer acknowledgment emails * Shipping workflow automation * Dashboard and reporting * AI exception handling * Multi-location printing We are looking for a long-term development partner who can continue improving the system over time. ## Required Skills Please apply only if you have strong experience with most of the following: * OpenAI API / ChatGPT API * Gmail API * OCR technologies (Tesseract, Azure Document Intelligence, Google Vision, AWS Textract, or similar) * Intelligent Document Processing (IDP) * PDF parsing * Workflow automation * Python * REST APIs * Windows automation * Network printing * Error handling and logging * AI document classification Experience with the following is a significant advantage: * n8n * Microsoft Power Automate * Make.com * ERP integrations * Sage 100 * Purchase Order processing * Manufacturing or distribution businesses ## Deliverables The completed solution should: * Run continuously with minimal supervision. * Be reliable enough for production use. * Handle errors gracefully. * Be well documented. * Be easy for our staff to maintain. * Be scalable as our order volume grows. ## To Apply Please include: 1. A description of similar automation projects you have completed. 2. Which automation platform you recommend (Python, n8n, Power Automate, Make, or another solution) and why. 3. Examples of AI document processing or OCR projects you've built. 4. Your experience integrating with ERP systems. 5. Your estimated timeline. 6. Your hourly rate or fixed-price proposal. Please begin your proposal with the phrase: **"I have built AI document automation systems."** This helps us identify applicants who have carefully read the project description. We are looking for a long-term partner, not just someone to complete a single project. If this project is successful, additional work will include ERP integration, warehouse automation, customer service automation, purchasing automation, and AI-driven business process improvements.

I am building an AI automation system for roofing companies and need an experienced developer to help build the first version. The system will help roofing companies: - Capture and qualify leads automatically - Follow up with missed calls/texts - Schedule appointments - Use AI chat/voice automation - Track leads in a simple dashboard/CRM I already have the business model and sales strategy. I need a developer who can help turn the idea into a working product. Requirements: - Experience with AI automation - Experience with APIs (OpenAI, Twilio, etc.) - Experience building web applications - Ability to create clean, scalable systems - Good communication Preferred skills: - React/Next.js - Node.js - Python - Database experience - AI agent development I am looking for someone who could potentially become a long-term development partner as this grows. Please include: 1. Examples of AI systems you have built 2. Your preferred tech stack 3. How you would approach building this system 4. Your estimated timeline

We are looking for an experienced AI consultant to help configure, optimize, and teach us how to use the Hermes Personal Assistant platform. This is a consulting engagement for an experienced professional who has hands on experience with AI agents, LLM infrastructure, and system integrations. Hermes Agent experience is highly preferred. If you have built similar autonomous AI agent systems, we would also like to hear from you.

We are seeking a skilled computer vision and AR engineer to develop a prototype for our project. The ideal candidate will have experience in building prototypes and a strong understanding of computer vision and AR technologies. You will be responsible for designing and implementing the prototype, ensuring it meets our project requirements. If you have a passion for innovation and a keen eye for detail, we would love to hear from you.

We are developing a Drone OS that must deliver reliable Detect-and-Avoid (DAA) and BVLOS capability while staying inside the strict power and thermal limits of an NVIDIA Jetson Orin companion computer. We need a perception engineer who knows how to keep computer-vision and AI inference efficient, cool, and reliable in real flight conditions. Responsibilities: Develop and optimize perception pipelines (object detection, tracking, depth, optical flow, etc.) that run efficiently on Jetson Orin Profile and reduce power consumption and thermal load while maintaining required detection performance Integrate perception outputs with the flight controller (PX4/ArduPilot) and higher-level autonomy stack Work closely with our AI full-stack developer and flight test engineer to close the loop between software and real-world flight behavior Implement robust fallbacks and monitoring so the system remains safe when thermal or power limits are approached Support the overall goal of certification-ready BVLOS and DAA performance Requirements: Strong experience with NVIDIA Jetson platforms (Orin Nano / NX / AGX preferred) Hands-on experience optimizing deep learning models for edge devices (TensorRT, quantization, pruning, etc.) Proficiency in Python and C++ for real-time perception pipelines Understanding of power and thermal management on Jetson (nvpmodel, jetson_clocks, power modes, monitoring tools) Experience with ROS 2 or similar robotics middleware is a strong plus Ability to balance accuracy vs. latency vs. power Nice to have: Previous work on drone perception, DAA, or collision avoidance Experience with multi-camera or sensor-fusion perception stacks Familiarity with PX4 / ArduPilot integration U.S.-based preferred Engagement: Part-time to full-time, ongoing project. We will start with a paid technical trial focused on optimizing a perception model for power/thermal constraints. Please include: Examples of Jetson optimization work you have done Tools and techniques you typically use for power/thermal management Your availability and hourly rate

We're Bizz Vital Clinic LLC, and we have an internal tool that lets our team upload financial documents (invoices, balance sheets, bank statements, reports) and ask questions about them. It's built on Python + FastAPI with OpenAI, LangChain, and ChromaDB, and it's already running. The problem is the PDF parsing. The text extraction isn't reliable, especially with tables and numbers. Rows get dropped, columns get scrambled, and some figures come out wrong. Since the parsed text feeds into our chunking and embeddings, bad parsing means bad answers, and with financial data, we can't have the numbers off. We don't need a rebuild. The rest of the app works fine. We just need someone to look at the parsing part, figure out what's going wrong, and fix it so extraction (including tables and numbers) is accurate. Stack: Python, FastAPI, OpenAI API, LangChain, ChromaDB, Docker What we need: - Review the current PDF parsing code - Find out why extraction is inaccurate - Fix it (open to switching libraries if needed: pdfplumber, PyMuPDF, Camelot, Unstructured, etc.) - Make sure tables and numbers come through correctly - Confirm the fix improves answer accuracy without breaking the existing pipeline It's a focused bug fix, but the codebase is fairly large, so you'll need to be comfortable working in existing code. When applying, please share: - A similar PDF parsing/data extraction problem you've handled before - A quick note on how you'd approach diagnosing this

Need an experienced Ai Automations tutor for 1-on-1 coaching to build automations and AI workflows.

## Project Overview I am seeking an experienced Senior AI Systems Architect / Full-Stack Engineer to evaluate and potentially lead the technical architecture of a new enterprise software platform currently under development. At this stage, I am not looking for someone to simply write code. I am looking for an experienced technical professional capable of evaluating architecture, recommending technologies, and helping define the engineering roadmap for Version 1. The project involves the integration of artificial intelligence, enterprise software architecture, workflow automation, secure data management, API integrations, and cloud-based application design. Because the project contains proprietary intellectual property, detailed information will not be disclosed during the initial interview process. Candidates selected to move forward will be asked to execute a Non-Disclosure Agreement before reviewing project documentation. ## Initial Objectives • Review the existing project at a high level. • Evaluate technical feasibility. • Recommend the most appropriate technology stack. • Design the production architecture. • Develop an implementation roadmap. • If mutually agreed, continue as the lead software architect for Version 1. ## Required Experience Applicants should have significant experience with: • Enterprise software architecture • Artificial Intelligence integration • API development and integration • Full-stack application development • Cloud architecture and deployment • Database design • Authentication and application security Excellent communication skills are important. I am looking for someone who enjoys solving complex architectural challenges and who is interested in building something from the ground up. ## Please Include 1. A brief summary of your architecture experience. 2. Examples of enterprise software systems you have helped design. 3. AI-related experience. 4. Your preferred technology stack. 5. Why this opportunity interests you. The initial engagement is intended as an architectural evaluation. A longer-term relationship may develop if there is a strong mutual fit.

We are seeking a skilled computer vision and AR engineer to develop a prototype for our project. The ideal candidate will have experience in building prototypes and a strong understanding of computer vision and AR technologies. You will be responsible for designing and implementing the prototype, ensuring it meets our project requirements. If you have a passion for innovation and a keen eye for detail, we would love to hear from you.

Python Developer Needed – Claude API, PDF Processing & AI Automation I’m looking for an experienced Python developer to help me complete and troubleshoot an AI document-processing workflow. I have approximately 20,000 pages of OCR’d medical records that need to be processed using the Claude (Anthropic) API. The goal is to identify specific mental health evidence while ensuring every extracted finding includes the exact PDF filename and page number so it can be verified and used in court. Current Status * Claude API account is already set up and paid for. * PDFs are already OCR’d and page numbered. * I have an existing Python script that uploads documents and processes them, but it needs improvement. What I Need * Debug and improve the existing Python code. * Ensure page numbers and source filenames are always included. * Improve reliability and error handling. * Optimize processing of a large document set. * Help generate a final organized evidence list. Required Skills * Python * Claude (Anthropic) API or other LLM APIs * API integration * PDF/document processing * OCR workflows * Prompt engineering * Debugging and automation Experience working with legal, medical, or other large document collections is a plus. This is an urgent project, and I’m looking for someone who can start immediately. When applying, please include: * Similar projects you’ve completed * Your experience with Python and AI APIs * Your hourly rate * Your availability over the next couple of days I’m in Las Vegas