## Project at a Glance - Project stage: Partially built; bootstrapped project where efficiency, speed, cost, and lean execution matter. - Expected project duration: Approximately 1 to 2 months. - Engagement type: Independent contractor / hourly engagement only. - Scale target: The app should be architected with future growth in mind, including a target capacity of 80,000+ monthly active users with reasonable headroom to scale without avoidable rework, security degradation, or performance issues. - Security posture: SOC 2 readiness should be considered from day one; certification may occur later. - Meetings: One weekly video sync of up to 60 minutes may be scheduled by mutual agreement and should be accounted for in the contractor’s proposed budget. ## Overview We are building a production-grade, multi-tenant SaaS web application designed for enterprise-level scale, security, and reliability. The application may handle employee data and is being built with SOC 2 readiness in mind from day one. This is a bootstrapped project. Speed and lean execution are critical, and every decision should balance quality with pragmatism. The product is being designed to last, scale, and withstand technical, security, and operational scrutiny. We are seeking a U.S.-based individual senior full-stack engineer who can personally lead the web app development scope through production-ready implementation, end to end. No outsourcing outside the U.S. No agencies. ## Technology Stack - Front-end: Next.js App Router, TypeScript, Tailwind CSS - Backend / API: Next.js API Routes, Supabase Edge Functions, FastAPI / Python - Database: Supabase PostgreSQL - Authentication: Supabase Auth, OAuth, SSO, MFA - Authorization: RLS / Row-Level Security, RBAC - Realtime: Supabase Realtime - LLM / AI: OpenAI / Anthropic / Gemini-compatible LLMs - Billing: Polar.sh - HRIS Integration: Unified third-party connector - Email Delivery: Resend - Analytics: PostHog - Error Monitoring: Sentry - Infrastructure: Vercel + Supabase - CI/CD: GitHub Actions - Testing: Vitest / Jest, Playwright - AI Agents: Agentic workflows, tool use, and related architecture - MCP Integrations: MCPs for ChatGPT, Claude, Gemini, or similar environments - Additional technologies may be used. ## What We Are Looking For - Experienced full-stack SaaS product engineer with a strong, verifiable portfolio - Deep expertise in Next.js and TypeScript - Production-grade Supabase experience, including RLS, Realtime, and Edge Functions - Python back-end development experience with LLM integration, including RAG pipelines, memory, or fine-tuning workflows - Experience implementing subscription lifecycle flows and seat-based access control end to end - A genuine standard for clean, well-organized, maintainable code - Demonstrated ability to design systems that can scale horizontally without structural rework - Demonstrated ability to work efficiently in a lean, bootstrapped environment - Security-first development practices, especially when handling sensitive or regulated data - Clear, prompt professional communication - Experience building AI agents or agentic workflows - Experience building MCP integrations for ChatGPT, Claude, Gemini, or similar platforms - Experience designing hierarchical multi-tenant account structures with seat-based access control ## Strongly Preferred - Hands-on experience building RAG pipelines and LLM fine-tuning workflows in production - Experience handling employee or HR data, including PII access controls, audit trails, and data residency considerations - Experience building toward SOC 2 readiness in a prior engagement - HRIS or enterprise HR system integration experience - Familiarity with OWASP, NIST CSF, or CIS Controls ## This application is being built to last and may handle sensitive employee data. We are looking for an engineer who takes code quality, data responsibility, lean execution, and long-term system health seriously. ## Please answer all 5 screening questions in your response. ## Communication - Contractor should identify normal availability windows and provide timely responses, generally within one business day during those agreed availability windows. - Day-to-day communication will generally be async through the applicable platform or contract workroom. - One weekly video sync of up to 60 minutes may be scheduled by mutual agreement for status updates, completed-work summaries, blockers, and upcoming priorities. Contractor should account for this meeting time in the proposed hourly rate or budget. - Pre-engagement sales, proposal, or introductory scoping discussions are not billable. ## Confidentiality and IP Project details are shared only after the client’s NDA is executed. If both parties decide to move forward, a separate IP Assignment Agreement is required before any offer is accepted or substantive work begins. This is an independent contractor / hourly engagement only and does not include full-time employment, salary, benefits, equity, revenue share, product ownership, or any ongoing engagement beyond the agreed scope.

# Founding AI Operations Architect | Build the Future of Home Services ## About EPIC EPIC Septic & Service is one of the fastest-growing septic and wastewater companies in America. We are a veteran-owned organization with operations expanding across multiple states and an ambitious vision to become the first nationally recognized brand in the septic and wastewater industry. But we're not just building a septic company. We're building the operating system behind it. Our mission is to create the first AI-powered Virtual Back Office (VBO) for the septic and wastewater industry—combining customer service, dispatching, sales, inspections, maintenance agreements, reporting, and franchise support into a single scalable platform. We believe the future of home services is not simply hiring more people. We believe the future is AI-powered operations supported by exceptional field teams. ## The Opportunity We are seeking a Founding AI Operations Architect to help design, build, and implement the technology infrastructure that will power EPIC's next phase of growth. This is not a traditional software development role. This is a systems architecture and operational design role focused on leveraging AI, automation, and modern technology to transform how a service business operates. You will work directly with the founder and executive team to map processes, identify opportunities for automation, and build the foundation for a platform that can scale across company-owned locations, franchisees, and strategic partners nationwide. We are looking for a builder, an operator, and a visionary who enjoys solving complex operational challenges with technology. ## What You'll Build ### Customer Experience Systems * AI-powered call answering * Lead qualification and routing * Appointment scheduling * Customer communication workflows * Automated follow-up sequences ### Revenue Operations * AI sales agents * Estimate and proposal generation * Maintenance agreement enrollment * Payment collection workflows * Customer retention programs ### Field Operations * Dispatch automation * Technician scheduling * Inspection workflows * Service reminders * Work order management ### AI Agent Ecosystem * Customer Service Agent * Dispatcher Agent * Sales Agent * Collections Agent * Inspection Report Agent * Franchise Support Agent * Internal Operations Assistant ### Reporting & Intelligence * Executive dashboards * Operational scorecards * Franchise performance reporting * KPI monitoring * Business intelligence systems ## Current Technology Stack We are currently evaluating and implementing technologies including: * Jobber * Claude * UJET * Make * n8n * Zapier * Airtable * Retool * Custom APIs and integrations We are open to recommendations from the right candidate. ## First 90-Day Objectives ### Phase 1 – Discovery & Architecture * Audit current EPIC workflows * Map customer journeys from lead to completion * Identify automation opportunities * Design overall system architecture * Create implementation roadmap ### Phase 2 – MVP Development * AI phone answering workflows * Lead qualification automation * Scheduling automation * Estimate generation workflows * Customer communication systems ### Phase 3 – Virtual Back Office Launch * Dispatch automation * Maintenance agreement workflows * KPI dashboard implementation * Reporting framework * Initial franchise-ready operating model ## Ideal Experience You have successfully built or implemented: * AI agents and automation systems * Contact center automation * CRM integrations * Workflow automation platforms * Field service management systems * Operational software for service businesses * Multi-location or franchise support systems Bonus experience includes: * Jobber * ServiceTitan * Home service businesses * Plumbing, HVAC, electrical, septic, or wastewater industries * Franchise operations * AI-powered customer support systems ## What We're Not Looking For Please do not apply if you are: * A website designer * Looking for simple development tasks * An agency that outsources work * Someone without hands-on AI automation experience * Someone who has never built operational systems that drive real business outcomes We are looking for someone who can think strategically, architect systems, and execute. ## Why This Opportunity Is Different Most companies use AI to make small improvements. We are using AI to reimagine how an entire industry operates. Our goal is to create the first fully AI-enabled septic and wastewater platform in America and ultimately build the infrastructure that powers operators nationwide. This is an opportunity to help build something from the ground up, have a direct impact on the direction of the platform, and work alongside a team that is committed to innovation, execution, and long-term growth. ## To Apply Please include: 1. Examples of AI systems you have designed or built. 2. Relevant automation or operational projects. 3. CRM or field-service integrations you have implemented. 4. Your preferred technology stack and why. 5. How you would approach building an AI-powered Virtual Back Office for a service business. 6. What excites you most about this opportunity. We are looking for a long-term partner who wants to help build something meaningful, scalable, and industry-defining.

We are building a multi-step workflow automation for a healthcare-adjacent B2B service. The automation needs to pull structured data from a web portal, pass it to an AI API to generate personalized documents, route the output through a HIPAA-compliant email delivery platform, and log results for quality review. We are looking for a US-based developer experienced with Make.com or n8n and comfortable working with REST APIs. This is a fixed-price project with a clear scope document provided after an NDA is signed. Please share relevant portfolio examples of similar automation builds.

About the Business I own Meet U @ The Net, an established beach volleyball league in Southern California. Website: https://meetuatthe.net The league currently runs multiple seasons per year, has strong player retention, and regularly reaches registration capacity. I am looking for a developer or small team to help modernize the business systems while providing documentation and knowledge transfer so I can eventually manage and improve the platform myself. This is not a one-time project. I intend to build the platform in phases over multiple seasons. Phase 1 Goals CRM Foundation Current data exists across: Excel Airtable Google Sheets The goal is to consolidate historical league data into a single CRM/database. Examples: Players Teams Seasons Registrations Waitlists Payments Participation history Website Rebuild Build a modern website focused on: Registrations League information Schedules Standings FAQ Mobile responsiveness SEO foundation AEO foundation Registration System Support: Individual registrations Team registrations Waitlists Coupon codes Discount codes Payment tracking Waiver System Requirements: Team captains can register teams Individual players must create their own profile Individual players must sign their own waiver Waiver tracking and status management Knowledge Transfer (Required) I do not want a black-box system. I want: Written documentation Loom walkthrough videos Live walkthrough sessions Ability to ask questions after launch The goal is to learn how the system works while it is being built. Future Phases (Not Part of Phase 1) Future projects may include: Scheduling tools Referee score entry portal Automatic standings Sponsorship CRM AI features Mobile applications The initial focus is building a strong foundation. Preferred Technologies Open to recommendations. Currently interested in: Next.js Supabase OpenAI GitHub Budget Approximately: $5,000 – $7,000 for Phase 1 Future phases expected if Phase 1 is successful. Looking For Full-stack developer or small team CRM/database experience SaaS experience Strong communication Documentation-focused Comfortable working with non-technical founders Please send: Relevant projects Technologies used Availability Pricing model Examples of documentation or client training

EroFlow Intelligence is an enterprise-grade, autonomous AI orchestration pipeline designed to mitigate global supply chain disruptions for aerospace manufacturing. Built using a multi-agent framework, the system automates the entire lifecycle of risk detection, impact analysis, and procurement mitigation without requiring human intervention for standard operational anomalies. The architecture coordinates three specialized, asynchronous AI agents that communicate via a centralized event bus to solve complex logistical bottlenecks in real-time. Core Agent Architecture & Workflow 1. The Sentinel Agent (Data Ingestion & Extraction) Role: Continuous Global Monitoring. Function: Utilizes advanced LLM-driven web scraping and unstructured data extraction to monitor global news feeds, geopolitical shifts, weather anomalies, and shipping port telemetry. Trigger: If it detects a disruption (e.g., a port strike or critical mineral shortage), it extracts key entities (materials affected, estimated delay times) and passes a structured JSON payload to the orchestration layer. 2. The Impact Assessment Agent (Predictive Modeling) Role: Deep Cross-Referencing & Analytics. Function: Upon receiving a trigger, this agent cross-references the disrupted material with the company’s internal ERP (Enterprise Resource Planning) database and current inventory levels. Output: It runs a predictive analysis to determine exactly which production lines will stall and calculates the financial risk, assigning a high/medium/low priority score to the event. 3. The Mitigation & Logistics Agent (Autonomous Execution) Role: Operational Resolution. Function: If the risk score exceeds a specific threshold, this agent is authorized to take action. It autonomously queries pre-vetted alternative suppliers via APIs, negotiates standard volume pricing based on historical contract data, drafts a comprehensive procurement proposal, and queues the purchase order for final human sign-off (or executes it automatically if under a certain dollar cap). Technical Stack (The Blueprint) Frameworks: LangGraph / CrewAI (for multi-agent state management and deterministic routing). Core Language: Python 3.11+ Data Layer: PostgreSQL (for ERP syncing) & Pinecone / Qdrant (Vector database for storing and querying supplier contract PDFs and historical compliance documentation). LLM Orchestration: OpenAI GPT-4o / Anthropic Claude 3.5 Sonnet utilized via structured outputs (Pydantic parsing) to ensure strict API data integrity. Hosting & DevOps: Containerized via Docker, orchestrated via Kubernetes, and deployed on AWS with asynchronous task queues managed by Celery and Redis. Quantifiable Business Results (The Hook) 92% Reduction in supply chain anomaly response time (from 48 hours down to 14 minutes). Automated Recovery: Successfully mitigated over 140 potential production line stalls autonomously in simulated stress tests. Cost Efficiency: Saved an estimated $1.2M in expedited shipping fees by predicting bottlenecks 10 days before they impacted manufacturing floors.

I'm an AI automation expert with a growing roster of clients, and I'm bringing on a skilled freelancer to help handle the smaller projects so I can keep up with demand. This isn't a new or one-off operation. I work with many clients already, and bring on new ones every week. I'm looking for someone reliable I can hand work to consistently, not just for a single project. You should be comfortable building AI automations independently and delivering clean, working solutions for client-facing work. To apply, please: - Send a short Loom introducing yourself - Share examples of your previous automation work I review every application personally, so a quick, genuine intro goes a long way. If we're a good fit, there's steady, ongoing work here.

I want to build a private multi-model RAG-based Opportunity Intelligence Agent. It should support document ingestion, opportunity-specific workspaces, vector search, source citations, multi-model routing across OpenAI, Claude, Perplexity, and possibly DeepSeek, and generate strategic recommendations from both uploaded files and live web research. This is intended to become a reusable base agent capable of knowledge retrieval, web research, multi-model orchestration, document analysis, citation generation, and agent clonding and configuration. It will be used for analyzing & strategy development for project opportunities, responding to RFPs, and proposal assistance, as well as other applications.

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.

I am working on a system using AI to review and respond on Google Drive (Shared Drive) folders of PDF's. Using Gemini as a POC I get responses that sometimes reach outside of my specified folders of content, but sometimes, some PDF files are ignored too. Also, when the response to a prompt come back, the sources are linked. However, the links only bring up the first page of the PDF file wherein the linked source material is, AND NOT THE pdf PAGE of the specific info. I need to have the AI (Gemini, Grok, etc.,) be used to query just.... but all, of the PDF files, within a set of folders in Google Drive (Shared Drive), and to respond with linked content. Said links must open to the PDF PAGE, not just the PDF which houses the specific info. In short, I think I need a viewer, but someone who has experience working with AI and PDF's will likely know the issue I am running into. In the end my system will have a UI attached, so there is a lot of possible side work on this project. First I need to build a better POC. For instance, if I open ONE of the PDF files in Google Drive, I can prompt on that file, and the correct PDF page does come up in the viewer, (While no other files are considered for the queried content.) But when I give Gemini many source PDF's or a folder of PDF's, the links only go to the first page pf the PDF with the information used as the sourcwe.

Looking for general help building out a platform for an AI saas.