We need a developer to build a simple AI chatbot MVP using Next.js and the OpenAI API. The chatbot should allow a business owner to enter FAQ or support content, then let users ask questions through a chat interface. The AI should answer based only on the provided content.

### Job Description: AI Chatbot Developer We are excited to announce an opening for an experienced and innovative developer to join our dynamic team in the pursuit of creating an advanced AI Chatbot. This chatbot will be designed to perform essential business functions, including but not limited to lead generation, quoting, and providing exceptional customer support. Our ideal candidate will possess a robust background in AI technologies, particularly in the realm of chatbot development, and will be equipped with outstanding problem-solving skills that enable them to tackle complex challenges with creativity and efficiency. As a key member of our development team, you will collaborate closely with various departments to gain a comprehensive understanding of our specific operational needs and requirements. Your ability to translate these needs into a functional and user-friendly chatbot solution will be critical to enhancing our overall operational efficiency. We are looking for someone who is not just technically proficient but also possesses a keen sense of business acumen to ensure that the chatbot aligns with our strategic goals. In this role, you will be responsible for various aspects of the chatbot development lifecycle, including but not limited to: - Designing and developing the conversation flow and user interface of the chatbot, ensuring it is intuitive and engaging for users. - Implementing natural language processing (NLP) capabilities to enable the chatbot to understand and respond to user inquiries accurately. - Integrating the chatbot with existing systems and databases to facilitate seamless access to information necessary for lead generation, quoting, and customer support functions. - Conducting rigorous testing and quality assurance to ensure the chatbot performs reliably and meets user expectations. - Analyzing user interactions and feedback to continuously improve the chatbot's performance and expand its capabilities over time. - Staying current with the latest advancements in AI technologies and chatbot development to incorporate best practices and innovative solutions. You will also play a crucial role in training team members on how to utilize the chatbot effectively and will be expected to provide ongoing support and maintenance to ensure the chatbot remains up-to-date and functional. If you have a passion for artificial intelligence, a deep understanding of customer engagement strategies, and a desire to make a significant impact within our organization, we would love to hear from you! Join us in revolutionizing the way we interact with our customers and streamline our business processes through cutting-edge technology. This is a fantastic opportunity for someone looking to advance their career in a fast-paced, forward-thinking environment. Apply today and be part of our exciting journey towards enhancing our customer experience through AI!

We are hiring an AI Engineer for a remote opportunity with our Airlines project. The ideal candidate should have hands-on experience building GenAI solutions, including RAG pipelines, vector embeddings, prompt engineering, MCP server development, and integrating multiple LLM providers. Experience working with AWS Neptune (Graph DB), OpenSearch (Vector Store), Redis, REST APIs, and SSE-based streaming services is required. Exposure to LangChain, MCPSharp, or ModelContextProtocol.SDK is a plus. If interested, please share your updated resume along with your total years of experience, years of GenAI experience, RAG experience, MCP/Agentic AI experience, current location, work authorization, and availability to start.

I’m looking for a senior AI app developer who can help me build an AI-powered MVP while also guiding me through the technical decisions. This is not just a coding task. I want someone who can think through the product, recommend the right architecture, explain tradeoffs, and build the first working version. The ideal person should be comfortable with OpenAI/LLM integrations, full-stack development, database design, authentication, deployment, and startup-style MVP execution. I’d like to work with someone who can act almost like a technical partner: build the product, teach me what is being done, and help me understand how to maintain or scale it later.

Type: Hourly, ongoing (part-time to full-time, room to grow) Stack you'll work in: Notion, Slack, HubSpot, Google Workspace/Gmail, Claude + other LLM APIs, Zapier/Make/n8n About us We're a fast-moving sports and fan-engagement startup. We're small, we ship quickly, and we want AI woven into how the whole company operates, not as a side experiment, but as the default way we work. You'd be the person who makes that real. What you'll do Map our current workflows across sales, marketing, ops, and content, then find the highest-leverage places to automate. Build automations and agent workflows that connect our tools (Notion, Slack, HubSpot, Gmail/Google Workspace) using platforms like Zapier, Make, or n8n plus LLM APIs. Design and ship AI agents for real jobs: lead routing and CRM enrichment, content drafting, customer/fan response triage, internal knowledge search, reporting digests. Stand up the connective tissue (prompts, integrations, guardrails, and monitoring) so automations are reliable, not brittle demos. Train and enable our team: build SOPs, run working sessions, and create lightweight docs so non-technical people actually adopt what you build. Help set our AI strategy and roadmap as we scale. You're a strong fit if you Have shipped real automations and AI agent workflows in production (not just prototypes). Are fluent with Zapier / Make / n8n and at least one major LLM API (Anthropic/Claude, OpenAI). Know your way around HubSpot, Notion, Slack, and Google Workspace integrations and APIs. Can write clean prompts and think in systems: edge cases, error handling, human-in-the-loop checkpoints. Can explain technical work to non-technical people and get them to adopt it. Communicate proactively and move fast without breaking trust on things that touch customers or revenue. Nice to have Experience taking a small company "AI-native" end to end. Background in sports and/or blockchain. Comfort with light scripting (Python/JS) when no-code hits its limits. How to apply In your proposal, please: Describe one AI agent or automation you built, the tools involved, and the measurable result. Tell us how you'd approach training a non-technical team to actually use what you build. This part matters as much as the build. Share your hourly rate and weekly availability. Proposals that skip these will be passed over. We're looking to start with a small paid task and grow the engagement from there.

We're building a confidential, AI-native operating system for high-volume plaintiff-side litigation. This is not a generic legal chatbot. It's an operating system for litigation operations — and we already have a live law firm as the proving ground, a working visual prototype, a pitch deck, and a near-term demo deadline. We need a senior full-stack engineer who can take an existing prototype, schemas, prompts, and workflow package and turn it into a secure working demo, then a production-track MVP. The right person thinks like a product architect, engineer, and security operator at once — fast, but disciplined with confidential legal data. Required: React/Next.js, TypeScript, Node or Python/FastAPI, PostgreSQL, auth and role-based access control, OpenAI or comparable LLM APIs, structured JSON/schema outputs, secure file handling, PDF/export generation, GitHub workflows, and strong security discipline. Strong plus: Legaltech, plaintiff-side litigation, case management systems (Filevine, Litify, Clio, Salesforce, HighLevel), RAG/document extraction, audit logging, and SOC 2 / PII / regulated-data experience. Ground rules: NDA required. No public repos. No real client data in the demo — sanitized data only. No API keys in browser code. No external sharing or deployment without approval. First deliverable: A build-readiness report identifying what's mock, what's reusable, and what needs rebuilding, plus architecture, security risks, database plan, API integration path, and a 7–30 day build roadmap. The path: Paid 7-day build-readiness sprint → 30-day demo sprint → longer-term technical lead / founding engineer discussion. To apply, please include: A short note on why you're right for this project 2–3 relevant products you've built (links) GitHub or code samples, if available Your availability for a 7-day build-readiness sprint Your hourly rate, fixed sprint price, or contract-to-hire preference Remote acceptable. U.S.-based preferred; South Florida a plus.

Upwork Job Post AI Automation & Performance Marketing Expert Needed for Premium AI Agency Overview We are looking for a highly experienced AI Automation & Digital Growth Specialist to help scale TUFF AI Agents, a premium AI consulting agency that helps businesses automate operations, generate more qualified leads, improve customer experiences, and increase revenue through artificial intelligence. This is a long-term opportunity for someone who understands both business automation and performance marketing. If you have successfully marketed AI services, SaaS products, CRM platforms, automation agencies, or B2B technology solutions—and can demonstrate measurable results—we'd love to hear from you. --- About TUFF AI Agents TUFF AI Agents builds custom AI solutions for businesses, including: - AI Chatbots - AI Voice Receptionists - AI Sales Agents - CRM Automation - GoHighLevel Systems - Zapier Automation - Marketing Automation - Lead Generation Systems - Appointment Booking - Email & SMS Automation - Workflow Automation - AI Business Consulting Our mission is to help businesses eliminate repetitive work, respond faster, improve efficiency, and grow with intelligent automation. --- What You'll Be Responsible For Paid Advertising Plan, launch, and optimize campaigns across: - Meta (Facebook & Instagram) - Google Ads - YouTube Ads - LinkedIn Ads - TikTok Ads - Performance Max - Display & Remarketing Lead Generation Create campaigns that generate qualified consultations through: - Landing pages - Lead magnets - Booking funnels - Retargeting campaigns - Conversion optimization Social Media Marketing Develop and manage content strategies for: - LinkedIn - Facebook - Instagram - TikTok - YouTube Shorts - X Including: - Educational AI content - Case studies - Short-form videos - Client success stories - AI demonstrations - Thought leadership Funnel Optimization Improve every stage of the customer journey by optimizing: - Landing pages - Calls-to-action - Lead forms - Booking rates - Email follow-up - Sales conversion --- Ideal Candidate We're looking for someone with experience marketing: - AI agencies - Automation agencies - SaaS products - CRM platforms - B2B services - Technology consulting - GoHighLevel agencies - Marketing agencies Bonus points if you've worked with: - OpenAI - GoHighLevel - Zapier - HubSpot - Salesforce - AI chatbots - Voice AI - Automation consulting --- Required Skills - Meta Ads Manager - Google Ads - LinkedIn Ads - TikTok Ads - Google Analytics 4 - Google Tag Manager - Conversion Tracking - Landing Page Optimization - Funnel Strategy - Email Marketing - CRM Marketing - Copywriting - Video Ad Strategy - A/B Testing --- Success Metrics Your success will be measured by: - Qualified consultation bookings - Cost per qualified lead - Landing page conversion rate - Return on ad spend (ROAS) - Organic audience growth - Website traffic quality - Lead-to-client conversion rate --- To Apply Please include: 1. Examples of AI, SaaS, or B2B campaigns you've managed. 2. Case studies with measurable results. 3. Industries you've worked with. 4. Typical monthly ad budgets you've managed. 5. Your recommended launch strategy for an AI automation consulting agency. 6. Links to landing pages, funnels, or campaigns you've built (if available). --- Preferred Qualifications - Experience with GoHighLevel - Experience with Zapier or workflow automation - AI marketing experience - B2B lead generation - CRM implementation knowledge - Funnel building - Strong copywriting skills - Video marketing experience Open to hourly or fixed-price proposals based on experience and proven results. We're looking for a long-term partner who can help grow TUFF AI Agents into a leading AI automation consulting brand. If you have a passion for AI, automation, and high-performance marketing, we'd love to hear how you would approach this project.

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.

Forum Intelligence: Project Brief & Initial Rollout 1. Executive Summary & Objective Forum Intelligence is a beginning as a localized data retrieval, processing, and archiving system designed to scrape public municipal records and state legislative data for public oversight. The immediate objective is to build a functional, highly resilient prototype focused on the Tri-Cities region (Burbank, Glendale, and Pasadena, California). The system will autonomously ingest messy, unstructured municipal data (City Council meeting minutes, agendas, public notices, and legislative PDF text, recorded mp4), clean it, and make it fully searchable and queryable via a localized AI agentic framework. 2. Phase 1 Scope: The Tri-Cities Rollout Th engineer will be responsible for building two primary pillars: A. Resilient Scraper Bots • Target Ingestion: Monitor and pull data from Burbank, Glendale, and Pasadena municipal portals and California legislative feeds. • Data Types: Brittle HTML sites, heavily nested tables, public notices, legislative drafts, and massive unstructured PDF archives. • Requirements: The scraping architecture must be exceptionally robust, utilizing intelligent error handling, retry semantics, and pagination tracking to handle frequent municipal website layout changes without breaking the pipeline. B. Ingestion & Vector Pipeline • Parsing: Extracting clean text from poorly formatted documents and scanned PDFs. • Local RAG (Retrieval-Augmented Generation): Chunking and embedding the data locally into a vector database (e.g., pgvector, Chroma, or Milvus) to enable semantically accurate entity linking and contextual search. 3. Targeted Hardware Stack To ensure maximum data security, strict public oversight integrity, and predictable operational costs, Forum Intelligence is skipping commercial cloud APIs in favor of an on-premise, localized NVIDIA enterprise deployment. The production roadmap aligns precisely with the new computing patterns detailed in NVIDIA’s latest hardware roadmap: • Inference & Token Generation: Running local open-weight frontier models (e.g., Neotron 3 Ultra or Claude/Llama equivalents) optimized for reasoning and long-context tool use. • Compute & Orchestration: The backend infrastructure is architected around NVIDIA’s dedicated agentic architecture, utilizing high-instructions-per-clock (IPC) Vera CPUs paired with Vera Rubin GPUs. • Memory & Storage Processing: Utilizing NVIDIA’s unified memory fabric and data processing units (DPUs) for ultra-low latency context management, KV caching, and fast vector database retrieval. 4. Immediate Milestones for the Engineer 1. Architecture Design: Map out the database schema and local inference ingestion loop. 2. Tri-Cities Scraper Deployment: Write and deploy the initial automated bots for Burbank, Glendale, and Pasadena. 3. Local MVP Pipeline: Demonstrate a local RAG pipeline where a user can query the Tri-Cities scraped records and receive grounded answers with exact source attributions. The above was AI generated from months long conversations with Gemini. The goal is to prove the concept then roll out to LA County, state of CA, and then the country.

Senior React Native Engineer – AI Integration Experience Required Overview We are looking for a Senior React Native Engineer with production AI integration experience to build an intelligent AI assistant into our existing iOS and Android application. Our application is already live. The user experience and AI chat interface have already been designed. Your responsibility is to build the AI functionality and integrate it seamlessly into our existing React Native application and Laravel backend. This is not a basic chatbot project. We are looking for someone with real experience building production AI applications using the OpenAI API, function/tool calling, and API integrations. Existing Technology Stack React Native Laravel MySQL Firebase AWS iOS Android Project Overview Users should be able to ask questions naturally, such as: "I'm struggling today." "Explain the Fifth Tradition." "Find a meeting tonight." "Find long-term sober living near me." "Find treatment within 20 miles." The assistant should intelligently determine how to answer each request. Sometimes it should respond directly. Sometimes it should search our internal database. Sometimes it should call external APIs. Sometimes it should combine multiple data sources into one response. Core Responsibilities Build and integrate: AI chat functionality OpenAI API integration Function / Tool Calling Conversation history Laravel AI backend Internal database search External API integrations Structured recommendation cards Production-ready implementation Resource Search When users request nearby resources, the AI should return structured recommendation cards containing: Facility Name Address Phone Number Website Each card should include: Call Directions Website APIs & Integrations Experience with the following is preferred: OpenAI API Function / Tool Calling REST APIs Laravel APIs Google Places API (or equivalent) Public API integrations Required Experience Senior React Native OpenAI API AI integrations Laravel REST APIs Production mobile applications Preferred Experience AI memory Prompt engineering Semantic search RAG Vector databases Deliverables The completed MVP should include: AI chat integration Backend AI service OpenAI integration Internal database search External API integrations Structured recommendation cards Conversation history Production-ready implementation Please Answer Have you built production AI applications using the OpenAI API? Please provide links to AI applications you personally built. Have you implemented OpenAI Function / Tool Calling? Have you integrated AI with existing databases? Describe the architecture you would recommend for this project. Walk us through exactly how your system would process the following request: "Find me a long-term sober living facility within 20 miles." Estimated timeline. Please provide a milestone-based fixed-price estimate. Important We are looking for someone who has built production AI applications, not someone who has only experimented with AI. A video interview is required before hiring. During the interview, you'll be expected to discuss your previous AI projects, explain your proposed architecture for this project, and answer technical questions about your implementation approach. Only applicants willing to participate in a video interview will be considered. This project has the potential to become a long-term relationship as we continue expanding our AI platform. Please begin your proposal with the word Recovery so we know you read the entire posting. Budget will depend on your proposed architecture, experience, and scope. We are looking for the best long-term solution—not necessarily the lowest bid.