We are a small non profit with big plans and a great story. We rely on a tech/data driven approach to fight food insecurity and hunger. You can learn more about us at www.SimpleGesture.org. We need a grant writer that can find the grants, apply for them, and get us the funding we need to continue growth. At first glance, it’s very simple. That’s why we call it “A Simple Gesture”. We register donors to leave a bag of food on their doorstep, and volunteer drivers take that food to an area food bank or pantry. Simple. But what’s behind it is hardly simple. We’ve written a Web App that automates everything. These programs have been around since 2010, and between ‘A Simple Gesture’, ‘Porch Communities’ and “Neighborhood Food Project’ they have brought in over 4.5 million pounds. There are about 115 of them. The problem is they take 40+ hours to organize a single months event. We call this a ‘barrier of entry’. It stops new chapters from giving it a try. Our App reduces the time to about an hour. By removing the barrier we hope to start 950 chapters and raise over 400 million pounds of food per year. We’ve already started 18 chapters, and 2 existing chapters are using our app. Since just last October we have brought in over 120,000 lbs. of food. Here is the core to our grant ask; We now know it costs us about $16 to on-board and support a donor for 5 years (5 years is the average time a donor stays in the program). And that average donor will provide $1100 of food. That’s a 1:68 ratio of $1 to $68 in real food value. The way we describe it to donors is; if you give a pantry $10, they can probably buy $25 of food at wholesale. If you give us that same $10 we build a food machine that keeps on giving. We can turn your $10 into $680. We need funding to expand. For now, we need funding to grow the program in Northern California, but by mid ‘27 we want to be expanding throughout the entire country.

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.

Job Description: We are seeking an advanced development partner or agency to architect and deploy a secure, high-availability AI automation platform that bridges modern intelligent agents with our existing legacy infrastructure.The core of this project requires building autonomous AI agents and dynamic RAG (Retrieval-Augmented Generation) pipelines for semantic search, which must securely interface with our backend databases and legacy applications.You will lead the end-to-end development, from writing robust backend APIs and designing a responsive React JS frontend, to configuring the underlying Linux servers and automated CI/CD pipelines. Key Responsibilities: Build custom AI agents and chatbots using advanced LLM API integrations and Model Context Protocol (MCP) tooling.Develop custom web crawlers to securely ingest, index, and structure big data into high-availability databases.Modernize and migrate legacy software components (including Classic ASP, PHP, and Java) into a modern TypeScript and Node.js microservices architecture.Implement workflow automations via Zapier/Make and deeply integrate third-party systems like Salesforce, Odoo ERP, Twilio, and Stripe payments.Set up robust DevOps practices, including automated QA testing, Linux server hardening, and comprehensive monitoring/observability metrics. Required Skills & Tech Stack: AI & Automation: LLM APIs, RAG, Semantic Search, Voice/Transcription, Zapier, Make.com.Core Languages: Python, Node.js, TypeScript, PHP, Java, Classic ASP.Frontend/CMS: React JS, Modern JS Frameworks, WordPress.Data & Infrastructure: Big Data engineering, advanced web scraping, Linux/Mail server administration, VMware alternatives, CI/CD pipelines, Networking & Security.Integrations: Salesforce, Odoo, Twilio, Google Workspace APIs.Web3 (Plus): Solidity, Smart Contracts, Token operations. Project Scope & Deliverables: Size: Large-scale enterprise migration and AI upgrade.Deliverables: Fully deployed AI workflows, a modern user dashboard, migration of legacy core features, and documented DevOps infrastructure.Experience Level: Expert.Budget Strategy: Hourly or fixed-price milestone contract.

DESCRIPTION We're a small applied AI lab running a live, production-track AI product for an institutional financial services client. The work is technical, fast-moving, and high-stakes. We need to fill a critical infrastructure role with someone senior, collaborative, and genuinely excited about building in the current AI tooling ecosystem. THE ROLE You'll own the data infrastructure layer for an AI-powered intelligence platform built on the Microsoft Azure ecosystem. This is a hands-on engineering position — you're responsible for designing, building, and maintaining the pipelines that feed a live AI scoring engine. The environment is agentic. Data moves from 15+ heterogeneous external sources (APIs, PDFs, regulatory filings, web) through Bronze, Silver, and Gold layers into a scoring and inference system. The hard problems are extraction quality, schema normalization, pipeline reliability, and getting the right data to the scoring engine in the right shape. You'll work directly with the technical lead and engagement lead. No layers. Fast decisions. WHAT YOU'LL OWN + Data pipeline architecture and delivery across Bronze (raw ingestion), Silver (normalization, NLP extraction, entity resolution), and Gold (unified output, scoring-ready) layers + Microsoft Fabric lakehouse implementation — OneLake, Data Pipelines, Dataflows Gen2, Warehouse, and downstream system integration + Microsoft Foundry (formerly Azure AI Studio) — agent orchestration, prompt pipelines, and AI model integration within a secure Azure tenancy + Azure Data Factory orchestration for structured source ingestion +Salesforce integration via Snowflake native connector — field mapping, custom object schemas, sync reliability Extraction pipelines for unstructured sources (PDFs, regulatory filings, web content), coordinating with Azure OpenAI-based extraction agents +Data governance and security posture — all data stays within the client's Azure tenancy; data residency is non-negotiable REQUIRED: Technical Skills + Microsoft Fabric — production experience, not sandbox. You should be able to speak to Lakehouse vs. Warehouse tradeoffs, OneLake architecture, and real pipeline implementation. Microsoft Foundry / Azure AI Studio — hands-on with agent deployments, prompt flow, model endpoints, and Azure OpenAI integration within an enterprise Azure tenancy + Azure Data Factory — pipeline authoring, trigger management, connector configuration, monitoring +Snowflake — Gold layer data warehousing, schema design, query optimization, native connector usage (specifically Salesforce) + Python — data engineering contexts: pandas, PySpark, API clients, extraction scripts + SQL — complex joins, window functions, schema design; SQL Server preferred + Azure Blob Storage / ADLS Gen2 — Parquet/Delta format, access control, lifecycle management REQUIRED: AI-Augmented Development This is a hard requirement. You should be actively using AI coding tools to multiply your output — fluency with Claude Code, Cursor, and OpenAI Codex as part of your daily development workflow. If these aren't already in your stack, this isn't the right fit. We hire for multiplied output, not raw hours. REQUIRED: Demonstrable Work We don't evaluate resumes alone. Bring something — a GitHub repo, a deployed pipeline, an architecture document you authored, a case study with real numbers. We should be able to look at your work and understand what you built, what decisions you made, and why. Work under NDA is fine if you can describe it in enough detail to convey complexity and ownership. ATTITUDE & WORK STYLE Comfortable with Agile Scrum and its accompanying ceremonies. You raise issues early and help solve them. You communicate tradeoffs clearly without over-explaining. You're comfortable with evolving specs and don't need to win the architecture argument — just build the right thing within the approved stack. We're a small, senior team with low friction and direct communication. That's the environment; it works if you work with it. THE STACK The client environment has specific technology approvals. Production work runs on Azure OpenAI (client-hosted), Microsoft Fabric, Microsoft Foundry, Snowflake, Azure Data Factory, ADLS Gen2, Salesforce via Snowflake native connector, and SQL Server. LangChain, DeepSeek, and the external Claude API are not approved for this environment. NICE TO HAVES Experience with financial services or institutional investment data (SEC EDGAR, public pension filings, regulatory documents), familiarity with InvestorFlow or Salesforce Financial Services Cloud, unstructured document extraction at scale, or Azure Purview.

Overview We are a growing, privately held group of operating companies in the heavy equipment, equipment dealership, auction, rental, service, parts, and logistics industries. We are seeking an experienced Fractional Chief Information Officer to assess our current technology environment, develop a practical technology roadmap, and help lead the implementation of priority initiatives across multiple business units and locations. We are looking for a business-oriented technology leader who can help us improve: Systems integration Process automation and AI implementation Data and Inventory visibility CRM adoption and accountability Executive dashboards Phone system capabilities Cybersecurity oversight Vendor accountability Standardization across operating companies and locations The ideal consultant will be comfortable moving between strategy and execution. We do not need a report that sits on a shelf with no one to execute it. We need a leader who can identify priorities, simplify decisions, select the right vendors and tools, and help drive implementation. Business problem to solve Our businesses have grown across multiple operating models, systems, vendors, and locations. We need stronger visibility, more consistent processes, and better integration between the systems that support sales, inventory, rentals, service, parts, auctions, logistics, marketing, finance, and leadership reporting. We want to reduce duplicate data entry, improve the quality and timeliness of information, strengthen accountability, and give leadership trusted data for faster decision-making. Initial engagement We expect the initial engagement to include a structured technology and business systems assessment, followed by a prioritized roadmap. Phase 1 deliverables: Assess the current technology environment, including key systems, vendors, integrations, data flows, reporting processes, and operational pain points. Identify urgent risks, quick wins, and longer-term priorities. Develop a practical 12- to 24-month technology roadmap with sequencing, estimated resource needs, decision points, and recommended ownership. Evaluate our current phone system environment and recommend a plan for upgrade, vendor selection, and implementation. Recommend an approach to improve inventory visibility, including equipment locations, attachments, transfers, rental status, and related reporting needs. Develop a business intelligence and dashboard strategy for leadership reporting. Evaluate CRM adoption, data quality, workflow consistency, and sales management visibility. Identify practical AI and automation opportunities that can save time, improve reporting, strengthen customer response, and reduce repetitive manual work. Review cybersecurity posture, vendor coverage, disaster recovery, business continuity, and major risk gaps. Recommend an implementation governance model, including decision rights, project cadence, vendor accountability, and progress reporting. Likely implementation priorities The exact sequence will be finalized after the initial assessment, but current priorities include: Immediate priorities Technology assessment and systems inventory Phone system upgrade and implementation planning Practical AI strategy and initial use cases Inventory visibility improvements Data ownership and reporting standards Near-term priorities Executive dashboard development CRM optimization and adoption Integration between CRM, accounting, inventory, rental, dealership, auction, logistics, and marketing systems Reduction of duplicate data entry and spreadsheet-based reporting Vendor performance management Cybersecurity and continuity improvements Longer-term fractional CIO responsibilities Depending on fit and the assessment results, the selected consultant may continue in an ongoing fractional capacity to: Lead technology roadmap execution Oversee system selection and implementation projects Coordinate internal stakeholders and outside vendors Improve data governance and reporting reliability Develop executive dashboards and KPI visibility Support CRM adoption and process standardization Identify and implement workflow automation Guide responsible AI adoption Strengthen cybersecurity oversight Establish repeatable technology decision-making standards Provide executive-level recommendations on technology investments What this role is not This is not primarily a role for: Routine help desk management Printer, laptop, or desktop troubleshooting Server administration Basic managed IT support A pure software developer A consultant who only produces recommendations without implementation support We need someone who can translate business problems into practical technology solutions and help drive adoption across the organization. Required experience Candidates should have meaningful experience leading business systems improvement in a multi-location or multi-business operating environment. Strong candidates will have experience with several of the following: Fractional CIO, CIO, CTO, VP of Technology, enterprise applications, or technology transformation leadership Systems integration and enterprise architecture ERP, accounting, CRM, inventory, rental, or operational systems Business intelligence tools such as Power BI or Tableau Dashboard development and executive KPI reporting Data governance and reporting standardization Vendor selection, contract management, and implementation oversight AI use-case identification and workflow automation Cybersecurity oversight, disaster recovery, and business continuity Change management and user adoption Privately held, family-owned, founder-led, or entrepreneurial businesses Experience in equipment dealerships, distribution, rental businesses, logistics, construction, agriculture, automotive dealerships, industrial services, or other multi-location operational environments is strongly preferred but not required. Working style The right person will be: Business-oriented Practical and execution-focused Comfortable challenging unclear priorities Able to simplify complex decisions Comfortable working with ownership, executives, department leaders, branch teams, and outside vendors Willing to get into the details without losing strategic perspective Focused on measurable business outcomes rather than technology for technology’s sake Some onsite discovery work and periodic travel to company locations may be required. Please indicate your availability for onsite work in Pennsylvania and Maryland. What success looks like Success should produce measurable improvement in the business, including: Leadership has reliable visibility into key business metrics Reporting becomes faster, more automated, and more trusted Inventory locations and status are easier to understand CRM adoption and sales visibility improve Systems communicate more effectively Duplicate data entry and manual reporting are reduced Technology vendors are held accountable AI and automation create measurable productivity gains Cybersecurity risks are better understood and addressed Ownership spends less time searching for information and more time making decisions Please include the following in your proposal A brief description of two or three similar engagements you have led. An example of a multi-location, multi-business, dealership, distribution, rental, logistics, or operational environment you have supported. Your approach to the first 90 days of an engagement like this. Your experience with ERP, CRM, inventory, rental, accounting, phone, reporting, and business intelligence systems. Your experience implementing AI or workflow automation in a practical business setting. Your approach to vendor selection and vendor accountability. Your preferred engagement model, expected weekly availability, hourly or project rate, and ability to support onsite discovery work. Whether you personally lead the work or delegate significant portions of the engagement to other team members.

FrantzMaster AI is an all-in-one intelligent personal, business, transportation, finance, savings, reminder, and daily-life assistant designed to help people save money, make better decisions, stay organized, and manage everything in one place. The main purpose of FrantzMaster AI is to become a user’s everyday AI assistant for finding the best opportunities, comparing prices, tracking important expenses, managing bills, discovering affordable transportation and fuel options, monitoring business activities, and reminding users about important tasks before they forget them. FrantzMaster AI should be simple enough for anyone to use while being powerful enough to help individuals, families, drivers, truck drivers, small-business owners, entrepreneurs, and companies. The application should use artificial intelligence, automation, location-based services, personalized recommendations, price comparisons, calculators, alerts, reminders, dashboards, and intelligent tracking to help users save time and money. 1. SMART AI PERSONAL ASSISTANT FrantzMaster AI should have a central AI assistant that users can communicate with naturally. Users should be able to type or speak requests such as: * “Find me the cheapest gas near me.” * “Find the best load for my truck.” * “Find me a cheap ride.” * “Remind me to pay my insurance tomorrow.” * “How much money did I spend this month?” * “How much will this trip cost me?” * “Find the best loan for me.” * “Compare these insurance prices.” * “Remind me about my car payment.” * “What bills do I have coming up?” * “How much can I save this month?” * “Find the cheapest route.” * “Calculate my profit.” * “Help me manage my business.” * “What should I pay first?” * “Show me everything I need to do today.” The AI should understand the user’s request and automatically direct them to the correct feature. ⸻ 2. BEST LOAD FINDER FrantzMaster AI should include a powerful Load Finder designed especially for truck drivers, box-truck drivers, owner-operators, carriers, and transportation businesses. The system should help users find available loads and compare them. Users should be able to enter: * Truck type * Truck size * Maximum weight * Current location * Destination * Available dates * Preferred distance * Fuel economy * Minimum desired payout * Return-trip preferences * Empty-mile preferences The AI should help compare loads based on: * Total payout * Miles * Estimated fuel cost * Tolls * Estimated driving time * Deadhead miles * Estimated profit * Profit per mile * Profit per hour * Pickup location * Delivery location * Broker information * Load requirements The AI should help users understand which loads may provide better potential profit. The app should never guarantee that a load is profitable. Instead, it should provide calculations and estimates so the user can make an informed decision. ⸻ 3. CHEAPEST GAS FINDER FrantzMaster AI should include a Best Gas Finder. The user should be able to see nearby gas stations and compare fuel prices. The application should allow users to search for: * Cheapest regular gas * Cheapest mid-grade * Cheapest premium * Cheapest diesel * Gas stations near the user * Gas stations along a route * Gas stations near a destination The AI should consider: * Distance * Fuel price * Estimated amount of fuel needed * Vehicle fuel economy * Potential savings * Route convenience The system should help users avoid driving far out of their way just to save a few cents per gallon. ⸻ 4. LOAN COMPARISON FrantzMaster AI should include a Loan Finder and Loan Comparison Tool. Users should be able to enter: * Loan amount * Credit score range * Desired loan term * Monthly income * Monthly expenses * Down payment * Interest rate * Existing debt The AI should help users compare loan offers based on: * APR * Interest rate * Monthly payment * Total interest * Total repayment * Loan term * Fees The AI should clearly explain that loan offers, approval decisions, interest rates, and eligibility depend on the lender and the user’s financial information. The app should help users understand loans rather than promise approval. ⸻ 5. INSURANCE COMPARISON FrantzMaster AI should help users organize and compare insurance information. The app can support categories such as: * Car insurance * Truck insurance * Commercial insurance * Home insurance * Renters insurance * Business insurance * Life insurance * Other insurance Users should be able to save: * Insurance company * Policy number * Monthly payment * Due date * Renewal date * Coverage information * Agent information * Customer service information The AI should remind users before payments and renewals. ⸻ 6. CAR AND TRUCK MANAGEMENT FrantzMaster AI should have a Vehicle Manager. Users should be able to add: * Car * SUV * Van * Pickup truck * Box truck * Commercial truck * Trailer * Motorcycle For every vehicle, users should be able to track: * VIN * License plate * Mileage * Registration expiration * Insurance expiration * Inspection * Oil changes * Tire rotations * Brake service * Maintenance * Repairs * Fuel expenses * Loan payments * Vehicle value * Service history The app should automatically remind users when important vehicle tasks are approaching. ⸻ 7. BILL MANAGEMENT FrantzMaster AI should include a powerful Bill Manager. Users should be able to add every recurring bill they have.

Seeking an experienced PyTorch engineer with strong knowledge of transformer internals to help implement a model-specific runtime intervention module within an existing supervisory architecture. The core architecture, evaluator, control logic, interfaces, and project structure are already implemented. This engagement focuses on implementing and validating the actuator layer that translates neutral control directives into model-specific residual-stream operations.

Summary We are deploying a 100% offline, private AI stack using LibreChat, vLLM, and RAG. The project requires setting up a local infrastructure for AI model deployment, ensuring security and privacy. The ideal candidate will have experience in MLOps and DevOps, with a focus on local AI deployments. Responsibilities include managing the deployment process, optimizing performance, and ensuring the system's reliability and security. Title: MLOps/DevOps Engineer Needed to Deploy Private, Local AI Stack (LibreChat + vLLM + RAG) Project Description: We are deploying a 100% offline, privacy-first AI portal on local hardware (Threadripper server with Dual RTX 6000 Blackwell 96GB GPUs). Must be able to work at least in a hybrid environment, preferably in-person at our NYC office. We need an expert to containerize and automate this infrastructure. The stack consists of: LibreChat frontend, MongoDB, MeiliSearch, local HuggingFace RAG, and local SLMs (Llama 3/Mistral) served via vLLM. Key Responsibilities: Configure Ubuntu server host, including NVIDIA drivers and CUDA environment. Optimize multi-GPU serving utilizing vLLM for high-throughput local inference. Build out a localized, containerized RAG pipeline with HuggingFace. Write Docker Compose and Ansible configuration scripts for automated deployment.

-$150K Salary with Healthcare benefits, W2 applicants ONLY. -Must be U.S. Citizen -Remote role in U.S. with 25% travel to client sites Show me your best work as a Forward Deployed AI Engineer (FDE) by showing me: a) how you approach enterprise clients' complexities ($1B+ revenue businesses)** experience is a must with enterprise b) your technical fluency across data, tech, AI c) your people skills d) how you break down business processes e) experience around customer experience work preferred** Claude Certified Architects, Codex, and all other LLMs/AI engineering tools Only interviewing serious candidates looking for full-time work. No agencies, or LLCs/s-corps.... only FTEs W2. ex-Big 4, Big Tech Preferred candidates will get interviews first. Applicants that use AI slop to apply won't be considered.

# AI Video Creator Needed for Purpose-Driven Apparel Brand (HIP Apparel Company) We're looking for a talented AI video creator who can help bring our apparel brand, **HIP Apparel Company (Hope Inspires People™)**, to life through cinematic, emotionally engaging short-form videos. HIP is more than a clothing brand—we're building a movement centered around hope, mental wellness, resilience, and inspiring people through meaningful apparel. ## What We're Looking For We need someone who has experience creating ultra-realistic AI-generated lifestyle videos using tools such as: * Kling AI * Veo * Runway * Pika * Luma Dream Machine * Hailuo AI * Or similar professional AI video platforms The ideal candidate understands cinematic storytelling, premium fashion branding, and social media marketing. ## Project Scope You'll create short-form videos (15–60 seconds) for Instagram Reels, TikTok, Facebook, Pinterest, and YouTube Shorts that feature our apparel in authentic, inspirational settings. Examples include: * Mountain adventures * National parks * Beach sunrises * Camping beside an Airstream * Coffee shops * City streets * Hiking trails * Everyday moments of hope and connection Our videos should feel like premium lifestyle commercials—not obviously AI-generated. ## Style We're After * Cinematic camera movement * Natural lighting * Luxury outdoor lifestyle aesthetic * Emotional storytelling * Realistic people and environments * Smooth motion * Premium commercial quality * Consistent brand identity ## Deliverables * Vertical (9:16) social media videos * Optional square (1:1) versions for Instagram * High-resolution exports * Prompt files (if applicable) * Ability to make revisions based on feedback ## Nice to Have * Experience with apparel or fashion brands * Motion graphics and text overlays * Sound design * AI voiceovers * Editing in CapCut, Premiere Pro, or DaVinci Resolve ## About HIP Apparel Company Our mission is simple: **Hope Inspires People™** Every design is created to encourage, uplift, and spark meaningful conversations around hope and mental wellness. We want every video to make viewers feel something—not just sell a T-shirt. You can learn more about our brand at **hipapparelcompany.com**. ## To Apply Please include: * Portfolio or sample AI-generated videos * Which AI platforms you use * Your workflow from concept to final delivery * Estimated turnaround time * Your rate per video or package pricing * A brief explanation of why you'd be a good fit for a purpose-driven lifestyle brand We're looking to build a long-term relationship with the right creative partner as we continue to grow HIP Apparel Company and expand our video content library.