Need help creating an internal AI Reporting model for our marketing systems. The ideal candidate will have background and experience in full stack development as well as AI development.

Before you apply read this first.: This is not a standard contract. We are not looking for someone to build something and disappear. We are looking for a developer who genuinely cares about people experiencing homelessness and wants to be part of something that actually changes lives. If that is not you, this post is not for you. If it is keep reading. What Is Operation Iron Gate: Operation Iron Gate is a physical intake hub in Vallejo, California built specifically for the unsheltered. Any homeless person can walk through our door and receive help no matter what barriers they are carrying, no matter what their documentation looks like, no matter how many times they have been turned away before. The rule is simple: nobody gets denied. We call it Yes by Default. Instead of looking for reasons to say no, we look for the next valid move. Every single time.When someone walks in, a case gets opened immediately. Every barrier they are facing gets documented. A next step gets started before they leave the building. And the system tracks every single movement of that case every action, every referral, every handoff until they actually receive the resource they need. Not a phone number on a piece of paper. The actual resource. It sounds too good to be true. That is exactly why we built the technology to make it real. What You Are Building — Phase 1 Only: We are currently hiring for Phase 1 only. This is the core platform build. We are keeping it focused. Once the pilot launches in Vallejo and the system is proven in the real world, we will move into the AI layer and long-term development. But right now we need Phase 1 built right. The platform is called DSAS the Digital Steward Authorization System. It is the brain of Operation Iron Gate. Here is what Phase 1 covers: * Case creation engine when someone walks through the door, a case opens immediately. One screen, one submit. * Barrier capture system every barrier the person is facing gets documented and connected to a next action. * Yes by Default enforcement a denial without a legal reason code is blocked by the system itself at the database level. * Three-tier triage system urgent cases get a 2-hour movement deadline with auto-calculated countdown. * Steward escalation queue hard cases route instantly to senior reviewers who make binding decisions. * MDO Live View: real-time monitoring screen showing every active case, who owns it, where it is stuck, how long it has been sitting. * Automated alert engine fires when a case stalls, when a deadline is missed, when a partner does not respond. * Glass Dashboard public-facing transparency layer showing the community how the system is performing in real time. * All data feeds automatically from the system. No manual entry ever. * IGAC credential system when someone arrives without ID, a credential is issued immediately on Day 1 so the case can keep moving. * 7-role permission matrix enforced at the API level on every endpoint. * Append-only audit trail tamper-evidence logging. Nothing gets deleted or edited after it is written.. The full technical specification is already built: * Every database field is named. * Every logic rule is written. * Every automated alert is defined. * Every role permission is mapped. You are not figuring out what to build. You are building something that is completely designed and ready to be coded. Technical Requirements Required: * Strong backend / full-stack development 3+ years building complex platforms * Relational database expertise PostgreSQL or MySQL complex logic enforced at the database level * Role-based access control enforced at the API level * Automated alert engines time-based and condition-based triggers * Append-only audit logging with tamper evidence * Real-time data feeds * REST API development Strongly preferred: React or similar framework for front-end interfaces. Mobile-responsive design Access Points may operate from tablets and phones. Civic tech, social services, healthcare, or government platform experience. We are open to your stack recommendation. Tell us what you would use and why. Who We Are Looking For: We need someone who is technically strong. But more than that we need someone who reads about Operation Iron Gate and feels something. Someone who understands that every field in this database is a real person's life. Someone who will flag a problem in the spec before building it wrong. Someone who stays when things get hard. Someone who wants to be part of this mission not just compensated for it. If you are only here for the money, this is not the right fit. If you want to build something that matters we want to talk to you. Compensation: Read This Carefully: This is a fixed-price contract via Upwork with milestone-based payments. Here is exactly how it works and why we structured it this way. We are paying in four milestones. Every single payment is tied to something real being delivered and confirmed not just promised. * 25% on project start you have skin in the game from day one and so do we. * 25% when the database and core logic is confirmed complete confirmed by the developer handoff checklist, not by your word alone. * 25% when the full intake flow and MDO Live View is confirmed complete again, confirmed by the checklist. * 25% at final sign-off when every single item on every Tier 1 handoff checklist is confirmed complete Nobody gets paid until something real is delivered and confirmed. The checklist is the protection for both of us. You cannot say something is done and collect payment if the checklist says otherwise. That is not a lack of trust that is how professional projects get built correctly. There is one more thing we need in this contract and we want to be upfront about it. The contract will include a scope change clause. That means if we ask you to build something that was not in the original specification something we did not think of, something new that becomes a change order and gets priced separately. It does not get quietly absorbed into the fixed price and it does not become a source of resentment on either side. You build what is specified. Anything beyond that gets negotiated openly and fairly. Fixed rate. Milestone payments. Handoff checklist as the payment trigger. Scope change clause in the contract. That is how we protect Pathfinders for Hope's mission funding and make sure you get treated fairly too. Additional terms: * NDA required before any specifications are shared * Work-for-Hire Agreement required before development begins all code belongs to Pathfinders for Hope * Rate is negotiable based on experience To Apply: Submit your proposal with your answers to all eight questions, a description of your most relevant project, your recommended stack, your honest Phase 1 timeline estimate, and your rate. We are building the operating system that proves homelessness can be solved one city at a time. If that is the kind of work you have been waiting for, we want to hear from you.

We’re hiring a Senior Full-Stack AI Engineer to build an MVP for an LLM-powered recommendation platform. The role involves developing questionnaires and structured AI output to enhance user experience. The ideal candidate will have experience in AI and full-stack development, with a focus on delivering efficient and effective solutions.

I'm seeking an expert to develop an AI agent that will assist in managing my business. The AI should be able to handle tasks such as scheduling, data analysis, and customer communication. The ideal candidate will have experience in business management and AI development, and be able to deliver a functional prototype within a month.

We are seeking a US-based computer vision and full stack developer to build a platform for sports card recognition. The project includes developing subscription management, dashboards, and user account features. The ideal candidate will have experience creating scalable applications and integrating computer vision capabilities into a user-friendly platform. Hiring: Computer Vision + Full Stack Developer for Sports Card Live Auction Overlay App (SaaS) 📌 Overview I’ve built an MVP of a real-time sports trading card scanning and comping overlay tool using Loveable.dev. The product helps buyers gain an edge during live auctions by instantly identifying cards and showing real-time market comps. Now I’m looking for a U.S.-based developer (or strong US-aligned freelancer) to take this from MVP → production SaaS. This is a subscription-based product, so I need someone who can help build something fast, accurate, scalable, and hard to replicate. 🧠 What the product does Users can: Capture or upload sports trading card images during live auctions (mobile + desktop) Instantly identify: Player Year / set Parallel / serial number Pull live market comps Display a real-time “buy / avoid / fair price” overlay The goal is speed + accuracy in live buying situations (seconds matter). ⚙️ What I already have MVP built in Loveable.dev Basic overlay + UI flow Initial comp logic concept Subscription idea (not yet fully implemented) 🛠️ What I need help building (Phase 1 → Scale) I’m looking for someone to help rebuild and harden the system into a real SaaS product: 1. Computer Vision / OCR Layer Card detection from images (mobile + desktop) OCR extraction (player name, set, serial numbers) Image recognition / matching to known cards Confidence scoring (very important — must avoid wrong matches) 2. Comp Engine (Core Value) Integrate or build system for: eBay sold listings 130point or similar comp sources Card Ladder / ALT-style pricing logic Return: last sale average comp trend direction liquidity estimate 3. Real-Time Overlay System Lightweight overlay that works during live auctions Low latency (fast lookup is critical) Works on mobile + desktop workflows 4. SaaS Infrastructure User accounts + authentication Subscription billing (Stripe) Usage tracking / rate limiting Admin dashboard 5. Scaling / Production Hardening API architecture improvements Database structure Performance optimization for real-time use Error handling for imperfect images 💡 Ideal candidate You should have experience with: Computer vision (OpenCV, YOLO, or similar) OCR pipelines AI image classification or similarity matching Full-stack SaaS development Stripe subscriptions API design (Node.js / Python / Next.js preferred) Huge plus if you have: Sports card / collectibles knowledge Experience with marketplaces or scraping pricing data Real-time / low-latency systems 🎯 Why this is interesting This is not a generic app. It’s: A real-time decision engine for high-value collectibles Built for a passionate, high-spend niche (sports cards) Subscription-based with strong monetization potential Designed for speed advantage in live auctions 📍 Requirements Must be U.S.-based (preferred for communication/time zone alignment) Must be able to work independently Must have strong GitHub/code examples Bonus if you’ve built AI or vision-based SaaS tools before 💰 Budget Open to: Hourly or fixed project 📩 To apply, please include: Relevant CV / GitHub Past AI / computer vision projects Any SaaS or startup experience Your approach to building a real-time image → comp system Availability per week

We need a senior Python developer to build a custom internal research tool for our healthcare AI consultancy. The tool runs 75 standardized queries across six AI platforms in parallel, captures structured responses and citations, and writes results to an Excel template for analysis. What you're building A Python application with three components: Six API adapters: OpenAI (ChatGPT), Anthropic (Claude), Perplexity, Google (Gemini), xAI (Grok), and SerpAPI (for Google AI Overviews). All hit the official APIs and return a normalized response object. Async orchestrator that fires all 75 queries in parallel across the six platforms, handles retries and rate limits, tags client domain and competitor mentions in real time, and writes results to a provided Excel template. Streamlit UI for click-to-run operation, with engagement metadata input, live progress monitoring, results preview, plus Google Drive upload and Slack notification integrations on completion. Deliverables Six platform adapter modules with normalized response interface Async orchestrator with error handling and retry logic Excel writer (we provide the template) Streamlit dashboard Google Drive and Slack integrations README, setup guide, and operator documentation Test suite covering 70%+ of code paths All code in a GitHub private repo owned by us What we provide at kickoff Detailed architecture document and UI specification AHS Excel scan template, production-ready Full 75-query taxonomy All six API keys, provisioned and shared via 1Password Sample completed scans for reference Direct Slack access to the project lead Timeline and process 10 business days from kickoff to delivery Fixed price, paid in three milestones (30% / 40% / 30%) $500 bonus if delivered on or before business day 8 Daily commits to the repo required Weekly Friday sync at 10am ET Mutual NDA signed before access to query taxonomy Required skills 5+ years Python with strong asyncio experience Hands-on experience with at least 3 of: OpenAI API, Anthropic API, Perplexity Sonar API, Google Gemini API, xAI Grok API, SerpAPI openpyxl for Excel manipulation Streamlit for UI Google Cloud OAuth for Drive integration Slack API for notifications Strong Git/GitHub workflow Out of scope Query design, AI scoring synthesis, deck generation, mobile, and multi-user authentication. This is one focused tool with a clear endpoint. Please answer in your proposal Walk us through a recent Python project that integrated 3+ third-party APIs. What broke and how did you fix it? Which of the six APIs in scope have you used in production? What's your approach to rate limits and transient failures across async API calls? What scope questions do you have before bidding? Not a fit if You've never integrated more than two LLM APIs, you're uncomfortable with fixed-price contracts, or you can't commit to daily commits on a 10-business-day timeline.

We’re looking for an experienced engineer or trainer to help deliver hands-on AI coding training for engineering teams. The focus is on moving engineers beyond basic Copilot/autocomplete usage into agentic workflows with tools like Claude Code, Codex, GitHub Copilot, and related tooling. Scope: Run practical workshops for engineers Teach Claude Code, Codex, and Copilot workflows Cover task scoping, prompting, reviewing diffs, and code validation Help create assets like CLAUDE.md, agents.md, slash commands, or workflow templates Advise on best practices, cost awareness, security, and team adoption Ideal candidate: Strong software engineering background Hands-on experience with Claude Code, Codex, or similar tools Experience training engineering teams Clear communicator with practical examples Please apply with relevant examples of AI coding workflows, trainings, or engineering teams you’ve supported.

I am a partner at a recruiting firm seeking a conversational AI tool to enhance our communication with candidates and clients. Our business is highly conversational, and we primarily use LinkedIn and Loxo. We need a tool that can efficiently manage and personalize our interactions, potentially integrating with our existing platforms.

Upwork Job Description Title: AI Agent Coach — Teach Me to Set Up & Build Agents with Claw (Beginner-Friendly, 1-on-1) Overview I'm a business owner who is comfortable with software but not a developer. I want to learn how to set up and use an open-source AI agent platform ("Claw" / OpenClaw-style agent framework) to build my own AI agents. Most importantly, I'm looking for someone who is genuinely comfortable explaining things in plain, non-technical terms and can help me build a strong, lasting understanding — not just get something working. What I'm Looking For You'll act as my personal coach and guide. The #1 requirement is teaching ability: you can take technical concepts and explain them simply, check that I actually understand, and build my confidence step by step. The goal is for me to truly understand how everything works so I can set up the platform and build agents on my own afterward. Teaching is the priority — not doing it all for me. Scope of Work Walk me through installation and setup from scratch, explaining each prerequisite in plain language Explain core concepts in beginner-friendly terms: what an agent is, tools/actions, prompts, memory, and how the pieces fit together Help me connect API keys and any required accounts safely Build 1–2 simple agents together so I learn by doing Show me how to test, debug, and troubleshoot when something breaks Pause regularly to make sure I understand before moving on Provide a short written "cheat sheet" or recording of our sessions so I can refer back About Me Comfortable with platforms like Google Workspace and basic automation Not a programmer — please explain things without heavy jargon, or define terms as we go I learn best by doing, with clear step-by-step guidance, and I like to fully understand things Ideal Candidate (Most Important) Excellent at explaining technical topics in simple, non-technical language Patient, encouraging, and focused on helping me genuinely understand — not just finishing the task Proven experience setting up and building AI agents (please share examples or a portfolio) Hands-on experience with Perplexity (including Comet / Computer) and Claude workspace is strongly preferred Comfortable with live screen-share sessions and teaching in real time Available for follow-up questions between sessions Format & Logistics Live 1-on-1 sessions via screen share (Zoom/Google Meet) Estimated 3–5 sessions of 60–90 minutes each (open to your recommendation) Sessions recorded for my reference To Apply, Please Include A brief description of your experience teaching beginners and building AI agents

Seeking an AI developer to create a conversational AI companion with a custom personality. The project involves designing a unique personality and integrating it into a chatbot. The ideal candidate will have experience in AI development and personality customization. The role requires collaboration with a writer to ensure the personality aligns with the character's traits and backstory.