We are a small software development team actively using Claude and GitHub Copilot for development on an ASP.NET and Azure technology stack. We’re looking for an experienced AI coach/consultant who can review how our team currently uses AI, identify opportunities for improvement, and help us work more effectively with Claude Code, agents, and AI-assisted development workflows. What we're looking for: Experience implementing and scaling AI-assisted development practices within agile software teams. Deep hands-on experience with Claude Code, agents, and agent-driven workflows. Experience designing and configuring agents for development, QA, testing, documentation, and other engineering processes. Ability to conduct team workshops, coaching sessions, and practical reviews of our current workflows. Strong understanding of software engineering best practices, not just AI tooling. Bonus skills: Software architecture and platform engineering experience. Experience setting up and optimizing MCPs (Model Context Protocol), tools, integrations, and custom Claude configurations. Knowledge of AI workflows beyond development, including QA, support, project management, and internal operations. The engagement would likely include a mix of: Reviewing our current processes and tooling One-on-one discussions with team members Team coaching and training sessions Recommendations for improving productivity, quality, and collaboration using AI Please include examples of teams you have coached, AI development workflows you have implemented, and your experience with Claude agents and MCP-based tooling

About Us We are a forward-thinking AI enterprise software company building governance solutions. Our systems combine Python engineering, Natural Language Processing, and Machine Learning to deliver secure governance solutions. We’re seeking a Back-End Python Engineer with expertise in AWS deployed applications, GITHUB CI/CD pipelines, DJANGO, ML Pipelines, Endpoint Integration, Sagemaker, containerization, Use of AI to design front end applications and debug code. Key Responsibilities Design, develop, and maintain back-end services in Python to support software application Debug Application for Quality and Assurance Build Data Connectors for Application Integration Implement new features with front end design as needed Containerize and deploy services across AWS infrastructure. Build and scale RESTful APIs and microservices (Django + DRF) that integrate into automated pipelines. Tune system performance (network, I/O, memory, GPU utilization) for optimization. Architect and maintain databases (SQL & NoSQL), ensuring query optimization, high availability, and caching (Redis). Integrate background processing (Celery) and real-time communication (WebSockets) into containerized environments. Collaborate with DevOps, front-end, and AI/ML teams to deliver end-to-end automated workflows. Apply best practices in system design (SOLID, DRY, KISS), Python standards (PEP8), and secure infrastructure deployment. Qualifications Core Skills Proficiency in Python (OOP, async, functional programming, data structures). Expert-level knowledge of AWS Infrastructure (deployment, operators, CI/CD, scaling). Strong background in containerization (Docker, Podman) and Kubernetes-native orchestration patterns. Experience supporting AI Dev automation workflows and integrating back-end services with automated pipelines. Deep knowledge of Django & DRF: ORM, serializers, view sets, permissions, HTTP methods. Advanced database design & optimization for high-throughput applications. Familiarity with Redis caching, Celery task queues, and uWSGI/ASGI communication layers. Solid testing skills (pytest/unittest) and CI/CD pipelines with Git. Preferred Expertise Hands-on experience with GPU-enabled workloads and hardware acceleration in containerized environments. Familiarity with infrastructure automation tools (Ansible, Terraform, or similar). Agile/Scrum team experience and use of task tracking (Jira, Trello). What We’re Looking For We want an engineer who: PRIORITIZES SECURITY OF SYSTEMS AND INFRASTRUCTURE ACROSS SECURITY FRAMEWORKS Builds automation-first systems that support AI Dev workflows from code to deployment. Thinks about performance and scalability at the infrastructure + software level. Collaborates across teams (DevOps, AI/ML, product) to deliver fully integrated, automated platforms.

(Remote position) We’re building manufacturing automation pilots across industrial plants in the Midwest, focused on where robotics and physical AI can create real operational leverage. We're looking for an exec-level advisor/operator who is excited by the frontier of robotics, but grounded in real industry constraints (uptime, workflows, legacy equipment, labor dynamics, safety, budgets, risk management etc) You’ll help identify promising opportunities, shape the pilot pipeline, pressure-test use cases, guide customer strategy, and support conversations with manufacturers, plant leaders, integrators, and automation vendors. Ideal background: manufacturing, industrial automation, robotics, plant operations, strategy, BD, or multi-site industrial transformation.

We are looking for an experienced AI trainer / speaker to deliver a 2–3 hour live, remote Introduction to AI training session for a B2B field sales team The audience will be group of sales professionals. The client is in the protective packaging and packaging automation industry. Their sales team works with customers on packaging materials, packaging processes, damage reduction, labor efficiency, sustainability, throughput, and automation-related opportunities. The goal of the session is to provide a practical and engaging introduction to AI usage in sales workflows. This should not be a highly technical AI course. The focus should be on helping sales professionals understand how AI can support their daily work and improve sales productivity. Desired session focus: Practical introduction to AI and generative AI for non-technical sales users How field sales teams can use AI safely and effectively AI for account research and customer meeting preparation AI for improving discovery questions and understanding customer pain points AI for writing better follow-up emails, summaries, and sales messaging AI for preparing customer-specific value propositions AI use cases relevant to B2B consultative sales Responsible AI use, including confidentiality, accuracy, and human review Live examples and practical demonstrations The ideal trainer should be able to make the session engaging, practical, and relevant to a sales audience. Experience training sales teams, B2B commercial teams, or business users on AI adoption is strongly preferred. Experience in manufacturing, packaging, industrial sales, logistics, automation, supply chain, or similar B2B industries would be a strong plus, but is not mandatory if the trainer can tailor examples appropriately. Trainer responsibilities: Prepare and deliver a 2 hour session Tailor examples to a B2B field sales audience Include practical AI demonstrations that sales professionals can relate to Explain AI concepts in simple business language Provide guidance on safe and responsible use of AI tools Keep the session interactive and engaging for the group Coordinate with us in advance to align the session with client goals Ideal candidate qualifications: Strong experience delivering AI, generative AI, or digital productivity training Comfortable presenting to business and sales audiences Ability to explain AI concepts without unnecessary technical complexity Strong communication and facilitation skills Experience with tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, or similar AI platforms Ability to tailor training examples to client-specific business scenarios Prior experience with sales enablement, B2B sales workflows, or customer-facing teams is preferred Please include the following in your response: Brief summary of your AI training experience Examples of similar business or sales-focused AI sessions you have delivered Your approach for making a 2–3 hour AI session practical and engaging Any relevant industry experience with B2B sales, manufacturing, packaging, logistics, supply chain, or automation Your availability in August for this training session

## 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.

Looking for an experienced Bubble.io developer to build a crowdfunding platform MVP from the ground up. Core Features Needed: • User registration and profile creation with email domain restriction • Campaign creation and management • Donation flow with optional donor tip at checkout • Stripe Connect integration for automated payouts • Identity verification integration triggered at payout stage via third party API • Basic admin dashboard for campaign review and approval • Mobile responsive design How Verification Should Work: • Users create campaigns freely • Verification is triggered only once a campaign reaches a minimum funding threshold • Payout is held until verification is confirmed • Verified users receive funds automatically upon confirmation How Tipping Should Work: • Optional tip prompt presented to donor at checkout • Tip amount configurable by admin • Tips collected separately and routed to platform account Requirements: • Strong Bubble.io portfolio with similar platforms • Proven Stripe Connect experience specifically • Experience integrating third party APIs into Bubble • Clean, well documented workflows • Available for post-launch support Project Details: • Scope: MVP only, core functionality listed above • Timeline: 4-6 weeks

# 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 a growing strategic communications and marketing firm supporting clients across the defense, aerospace, government, and emerging technology sectors. We are seeking experienced U.S.-based communications professionals to help scale our communications practice. This is not a generic social media role. We are looking for consultants who understand how to build and execute sophisticated corporate communications strategies in highly technical and mission-driven industries. Areas of Support May Include: Corporate communications strategy Brand audits and messaging refinement Thought leadership development Executive positioning LinkedIn and X/Twitter content strategy Long-form article and op-ed development Media relations support Website and marketing copy Event communications support Strategic narrative development AI-enabled communications workflows Requirements: -U.S.-based only -Prior experience working in the defense, aerospace, government, dual-use technology, or national security sectors -Experience developing corporate communications strategies, not just executing social media tasks -Strong writing and editing capabilities -Ability to quickly understand technical subject matter and translate it into compelling communications -Experience supporting executives, founders, investors, or government-facing organizations preferred AI & Workflow Requirements: AI tools have significantly changed the communications landscape, and we are looking for professionals who understand how to responsibly and effectively integrate AI into communications workflows. In your response, please include: -Which AI tools you currently use -How you use AI to improve efficiency and quality -Examples of workflows or processes you have built using AI Where you believe AI adds the most value — and where human judgment remains critical

We are building the customer-facing layer of a specialized B2B platform for on-demand additive manufacturing. Engineers will use this storefront to upload CAD designs, receive AI-powered Design for Additive Manufacturing (DfAM) analysis and instant quotes, compare options, place orders with approval workflows, and track production with full traceability. This is not a standard Shopify theme customization or generic DTC store build. It requires deep integration between Shopify and a custom backend platform, custom app development, B2B features, and handling of complex quoting/ordering flows. The engagement covers the MVP of the Shopify layer. Strong results can lead to ongoing work on future phases. MVP Scope (Shopify Layer) - Modern buyer storefront (Shopify theme or headless Hydrogen/Remix recommended) - Custom Shopify App that handles: - CAD file upload and secure handoff to backend - Display of AI-generated DfAM analysis and multiple supplier quotes - Quote comparison, selection, and order creation - Company/account management and multi-user approval workflows - B2B-focused features: company accounts, custom price lists/quoting, draft orders, net payment terms, and role-based visibility - Checkout customization or extensibility (Shopify Functions / Checkout Extensibility) to support complex order data and approvals - Webhooks and robust two-way sync between Shopify and the custom backend (orders, status updates, digital thread events) - Clean, well-documented code with proper error handling, logging, and security practices Later phases may include deeper personalization, advanced configurators, post-processing add-ons in checkout, and enhanced analytics. Key Technical Challenges - Building a reliable custom Shopify App with secure file handling and backend API integration - Displaying dynamic, AI-generated quotes and analysis inside the Shopify experience - Implementing B2B workflows (approvals, company accounts, draft orders) that sync cleanly with external systems - Maintaining performance and data consistency across Shopify and the custom platform - Production-grade practices: idempotency on syncs, proper error recovery, audit-friendly logging, and security for proprietary design files Tech Preferences Strong experience with Shopify Plus features, Custom App development (including billing API, webhooks, and Admin/Checkout extensions), and either traditional Liquid themes or headless (Hydrogen + Oxygen / Remix + Storefront API) is highly valued. Experience integrating Shopify with external APIs or complex backend systems is essential. We are open to your architecture recommendations with clear reasoning. Must-Have Experience - 4+ years professional Shopify development with production projects - Demonstrable experience building Custom Shopify Apps and/or headless Shopify storefronts - Strong integration skills (REST/GraphQL APIs, webhooks, reliable data synchronization) - Experience with B2B Shopify features (company accounts, custom pricing, draft orders, approval workflows) - Excellent communication, proactive updates, and ability to work with a separate backend team - Clean code practices, testing where critical, and proper documentation Nice-to-Have - Prior work on manufacturing, industrial, or quoting/configurator-type Shopify projects - Experience with Shopify Functions, Checkout Extensibility, or complex checkout customizations - Familiarity with file upload/processing flows or 3D/CAD-related interfaces - Experience working alongside custom backend teams (not just standalone Shopify stores) Engagement & Timeline MVP delivery targeted in 6–10 weeks with clear milestones and regular demos. Open to hourly or milestone-based pricing. There is strong potential for continued work on future phases for the right partner. How to Apply To help us move quickly with serious candidates, please include in your proposal: 1. A brief summary of why this project interests you and one relevant past project (with link or specific details) involving Custom Shopify App development, headless storefronts, or complex B2B integrations. 2. High-level thoughts on how you would structure the Shopify App + storefront integration with an external backend (key components, data flow for quotes/orders, error handling, and security for design files). 3. Your availability over the next 3 months and preferred pricing model (hourly rate or estimated range for the MVP scope). 4. Confirmation that you are comfortable with detailed code reviews, GitHub collaboration, and proactive communication. We value specific, real-world examples and clear technical thinking over generic proposals. Thoughtful applications will receive priority. Looking forward to reviewing strong submissions.