Join our team as a senior AI Architect working closely with our product and engineer teams to design practical AI capabilities within our SaaS platform. This is a hands-on role focused on building reliable, production-grade conversational and AI-assisted features — not experimental research projects. You will work closely with product and engineering teams to design scalable AI patterns, integrate modern LLM technologies, and help shape how AI capabilities are embedded into real operational workflows. You will focus deeply on architecture, implementation quality, reliability, usability, scalability, observability, and operational robustness. This role is ideal for someone who understands both modern AI tooling and the realities of shipping enterprise SaaS software in production environments. We value people who can think critically about architecture, tradeoffs, operational realities, and long-term maintainability — not just prototype AI demos.

ElevenLabs Conversational AI Expert — Long, Multi-Node Voice Agents with Tool Calls Project type: Hourly Experience level: Expert Duration: Short-term engagement with potential for ongoing work About the project We're building voice agents on ElevenLabs Conversational AI (Agents Platform) that run long, complex calls of 20+ nodes in the workflow builder, with multiple tool/function calls along the way. The agent is embedded directly into our app (using the ElevenLabs SDK) rather than the ElevenLabs widget. The agents work, but we're fighting duplicate questions/answers. The agent re-asks questions it already asked, or repeats information it already gave, at different points in the call. We need someone who has actually built and shipped long-running ElevenLabs voice agents (not just simple single-prompt bots) to help us fix the structural setup so calls stay coherent end to end. That covers workflow/node architecture, state handling, prompt design, tool orchestration, and our client-side integration. What you'll do ● Audit our current agent: workflow node structure, system/node prompts, tool definitions, and conversation flow. ● Audit our client-side integration (the ElevenLabs SDK embedded in our app): session/connection handling, event handling, client tools, and how local app state stays in sync with the conversation. Reconnects, double-fired events, or repeated client-tool calls can also cause re-asks. ● Diagnose the root causes of the duplicate question/answer behavior. Possible culprits include context/state not being tracked across nodes, overlapping node responsibilities, prompt ambiguity, retrieval/knowledge-base issues, or client-side state/event problems. ● Redesign the node graph and transitions so each node has a clear, non-overlapping job and the conversation can't loop or re-ask. ● Improve state/variable management across nodes: dynamic variables, captured data, and how it's passed forward so the agent "remembers" within a call. ● Tighten tool/function calling: when tools fire, how results are handled, error/timeout handling, and avoiding redundant calls. ● Address context-window and long-call degradation, plus turn-taking behavior that causes drift. ● Recommend the right structural patterns for flows this long (single agent vs. multi-agent/agent transfer, sub-agents, branching). ● Document the fixes and the patterns so our team can maintain and extend the setup. You're a strong fit if you have ● Demonstrable hands-on experience with ElevenLabs Conversational AI / Agents Platform. Please reference specific agents or projects you've built. ● Experience with the workflow/node builder for branching, multi-step calls, not just a single system prompt. ● Experience embedding ElevenLabs in a custom app via the SDK (React/JS, WebRTC/WebSocket), not just the drop-in widget. ● Solid grasp of tool/function calling (client tools and server tools/webhooks), including error handling. ● Strong prompt engineering for voice, plus understanding of LLM context windows, state, and conversation memory. ● Experience debugging long conversations for looping and repetition, including intermittent, hard-to-reproduce cases. ● Bonus: knowledge base / RAG, dynamic variables, multi-agent transfer, post-call analysis, and the ElevenLabs API/SDK. To apply, please include 1. A short description of a long, multi-node ElevenLabs agent you built: how many nodes, what tools, and what it did. 2. How you'd approach diagnosing duplicate question/answer issues in a 20+ node flow (a quick paragraph, since we want to see how you think). 3. Your availability and rate. Applications that just say "I'm an AI expert" without specific ElevenLabs experience will be skipped. We're looking for someone who has lived in this platform.

I'm currently using Claude, Google Workspace, App Script and Lambda on AWS to pull data out of an operation software called Fullbay to automate a bunch of different aspects of our business. I'm a former software engineer, but now own a medium sized business in Denver and I want someone to help me continue these efforts. For the most part, these efforts consist of many, but small projects that pull data out of the ops software, push it into a Sql server db, and then compare data across google chat, google email, workspace calendar, hubspot, and fullbay to find specific issues with our staff and workflows and notify and track and report. A lot of cool, quick projects that I need help with. I would strongly prefer someone that lives near commerce city colorado so that they can get to know the business.

We are building a lead generation and follow-up system for a luxury real estate agent in a small-to-mid-sized market. The system will include: Seller Lead Generation Expired listings campaigns Homeowner outreach campaigns Warm database re-engagement Seller-focused lead generation strategies CRM & Automation CRM integrations Lead routing Automated task creation Pipeline management Automated Follow-Up Email sequences SMS sequences Long-term nurture campaigns Lead scoring and segmentation Daily Intelligence & Reporting Automated lead reports Opportunity alerts Prioritized outreach lists Performance reporting Past Client & Referral Nurture Referral generation campaigns Client retention automations Long-term relationship marketing Required Experience Please only apply if you have experience running real estate seller campaigns in small or mid-size markets. When applying, include: • Examples of seller campaigns you have built • Markets you have worked in • Technologies used • Results achieved (appointments, listings, cost per lead, ROI, etc.) • Whether you personally built the automation systems or managed a team Preferred Experience Real estate marketing Seller lead generation Expired listing campaigns CRM automation AI-powered follow-up systems GoHighLevel Zapier Make.com OpenAI integrations Email and SMS automation MLS integrations Please answer the following: What would your implementation approach be? What technology stack would you recommend? What monthly management would be required after launch? What are your estimated costs? What results have you achieved for similar clients? Budget: Open — we are looking for honest estimates based on scope. Timeline: Looking to start within 2 weeks. Please do not submit a generic proposal. We are specifically seeking professionals with demonstrated real estate seller lead generation experience and marketing automation expertise.

Overview: We are seeking an experienced independent M&A advisor to work directly with the founder and CEO on a confidential strategic sale process for enterprise software company. This is not a traditional investment banking engagement. We are looking for a senior advisor with deep technology M&A experience who can help position the company, identify strategic acquirers, facilitate introductions, advise on negotiations, and help maximize transaction value. The advisor will work directly with the CEO and external legal counsel. Company Overview The company develops enterprise software focused on AI-driven workflow automation, business process automation, knowledge management, and agentic AI solutions serving enterprise customers across telecommunications, retail, manufacturing, and other industries. Responsibilities -Develop overall M&A strategy and transaction roadmap -Refine positioning and acquisition narrative -Identify and prioritize strategic and financial buyers -Build confidential buyer outreach strategy -Make introductions to corporate development executives and decision makers -Advise on teaser, executive summary, and management presentation -Participate in selected buyer meetings -Help evaluate indications of interest and Letters of Intent -Advise on valuation and deal structure -Coordinate with legal, accounting, and tax advisors throughout diligence -Help create competitive tension among qualified buyers Ideal Background -Former Managing Director or Director at a recognized investment bank OR former Head of Corporate -Development or VP of M&A at a technology company 15+ years leading enterprise software or SaaS transactions -Extensive network of corporate development leaders -Experience selling founder-led technology companies -Strong understanding of AI, workflow automation, enterprise software, or digital transformation markets -Experience with transactions involving strategic buyers such as enterprise software vendors, industrial technology companies, systems integrators, or private equity-backed platforms is highly desirable.

# AI & Automation Architect for Creator Business (Content, Digital Products, Customer Journey & Growth Systems) **Budget:** $100–$150/hour (based on experience) **Initial Engagement:** 4-hour live working session **Date:** Monday, June 29, 2026 **Time:** 1:00 PM–5:00 PM EST **Location:** Remote (Zoom) ### IMPORTANT To confirm you've read this posting, start your proposal with: **Pocket Palette** Applications that do not include this phrase will not be considered. --- ## About Me I am the founder of What Kate Covets, a growing Seasonal Color Analysis business that combines personalized color consulting, digital products, affiliate recommendations, events, and content creation. My business is growing quickly, and I am looking for a highly experienced AI and automation consultant who can help me build scalable systems that improve customer experience, streamline operations, increase revenue opportunities, and reduce manual work. This is not a virtual assistant role. I am looking for a strategic thinker and hands-on builder who can help design and implement practical solutions. There is potential for ongoing consulting and implementation work after this initial engagement. --- ## What I Want to Accomplish I am looking for someone who can help me build the operational foundation of my business so that growth does not require a proportional increase in manual work. ### 1. Launch and Scale My Digital Pocket Palettes I have created a Digital Pocket Palette product and need help creating, organizing, and launching versions for all seasonal color palettes. Desired outcomes: * Create and organize all seasonal versions * Establish a repeatable process for future updates * Upload and configure products on my website * Set up payment and delivery workflows * Create a seamless customer purchase and access experience * Ensure products are ready to sell and scale ### 2. Automate Lead Generation and Booking I want to reduce the amount of time spent manually managing inquiries and appointments. Desired outcomes: * Streamline lead capture * Improve inquiry management * Automate appointment scheduling where appropriate * Improve conversion from inquiry to booked consultation * Reduce administrative work ### 3. Automate the Client Journey After Their Analysis I currently provide significant value after a client receives their color analysis and want to create a more scalable experience. Desired outcomes: * Automated follow-up workflows * Delivery of resources and recommendations * Review request automation * Upsell opportunities * Long-term client engagement ### 4. Create a Scalable Recommendation System One of the biggest opportunities in my business is helping clients discover products that work for their season. I would like to explore solutions such as: * Digital Pocket Palette integrations * ShopMy collections * Seasonal shopping guides * AI-powered recommendation systems * Affiliate product recommendations * Personalized product discovery experiences I am looking for someone who can help determine the best solution and roadmap. ### 5. Create a Centralized Recommendation Database I want to stop managing recommendations across multiple platforms. I'd like help designing a system where products, affiliate links, seasonal recommendations, content assets, and customer resources can live in one centralized location and be used across: * ShopMy * Linktree * Instagram * My website * Digital Pocket Palettes * Future AI-powered tools ### 6. Create a Seamless Content Creation & Publishing Workflow Content is a major part of my business, but the process is currently too manual. I want help creating a content engine that allows me to consistently create and publish content with less effort. Desired outcomes: * Create a repeatable content workflow * Organize content ideas and assets * Streamline content creation and publishing * Reduce time spent creating captions, recommendations, and posts * Repurpose content across multiple formats and channels * Improve affiliate content workflows * Explore AI-assisted content creation systems * Create a clear process from idea → creation → publishing → engagement --- ## Current Platforms & Tools My business currently uses a combination of: * ChatGPT * Claude * Google Workspace * Instagram * Meta Business Suite * Linktree * ShopMy * Canva * Squarespace * Stripe Experience with the following is a plus: * Zapier * Make * n8n * Vercel * Airtable * Notion * AI agents * Custom GPTs * Knowledge bases * Workflow automation tools --- ## Deliverables At the end of our engagement, I would like: * A prioritized roadmap of opportunities * Identification of quick wins and longer-term projects * Recommended systems and tech stack improvements * At least 2–3 automation workflows mapped or implemented * Recommendations for scaling Digital Pocket Palettes * Recommendations for scalable recommendation systems * Documentation and next steps --- ## Ideal Candidate You: * Are fluent in English * Have extensive experience with AI tools and workflow automation * Have built systems for creators, consultants, coaches, agencies, or small businesses * Can work collaboratively in real time via Zoom * Are both strategic and technical * Can implement solutions, not just advise * Stay current with emerging AI tools and best practices Bonus points if you have experience with: * Affiliate marketing * Creator businesses * Personal brands * Digital products * AI agents * Customer journey automation * Knowledge management systems --- ## To Apply Please include: 1. A brief overview of your AI and automation experience 2. Examples of workflows or automations you've personally built 3. Experience with ChatGPT, Claude, Zapier, Make, n8n, Vercel, Airtable, Notion, or similar platforms 4. Experience working with creators, consultants, coaches, or personal brands 5. Confirmation that you are available Monday, June 29 from 1 PM–5 PM EST 6. A 3–5 minute Loom video walking through a workflow or automation you've built 7. What you believe would be the highest-impact automation opportunity for my business based on this posting Potential for ongoing consulting and implementation work for the right person.

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

We are a small e-commerce business with offices in Florida and remote locations. Our mission is to streamline our operations and enhance productivity through effective workflow management. To achieve this, we are seeking a skilled Monday.com expert to consult with our team. Position Summary: As a Monday.com expert, you will play a crucial role in developing user-friendly boards, optimizing workflows, and ensuring seamless onboarding and training for our team members. Your expertise will contribute to cost-effective solutions that enhance efficiency and collaboration across the organization. Responsibilities: • Assist in developing boards for business workflow, SOPs, and Team Management • Work management (Errors tracking, To-do lists, and daily work schedules) • Automate tasks / AI writing assistant. • Queries and reporting solutions • Data storage and query/manipulate • Apps integrations e.g Gmail, Outlook, Shopify • Optimizing workflows, and ensuring seamless onboarding and training for our team members Qualifications: The candidate must demonstrate the ability to develop solutions for the tasks below: • Project Planning & Management • Daily task management • Project (Batch) costing • KPIs (Understand how to measure and optimize performance metrics) • Resource audits (Analyze resource allocation) • Team Management (Develop collaborative boards that enhance teamwork and communication) • Dashboarding (Create visually appealing user-friendly dashboards for data visualization) Skills: Monday.com, Google Workspaces, Shopify, eBay, Walmart Marketplace, Office, Canva, and Amazon marketplace, Good communication skills and ability to work with a team.

Company Overview Pay Ready is a leading provider of innovative payment solutions tailored for the property management industry. We help property owners and managers streamline financial processes and accounts receivable functions, including processing current and post-resident rent payments and recoveries. As we integrate Generative AI (GenAI) across our operations, we're seeking a Senior Software Developer to drive the development of AI-powered solutions that enhance both internal workflows and customer-facing applications. Position Overview Joining our team as a Senior Software Developer – Generative AI means being at the forefront of innovation, working on cutting-edge projects that are shaping the future of AI and machine learning. You'll have the opportunity to collaborate with top experts in the field, contributing to groundbreaking research and development that has real-world impact. We offer a dynamic and collaborative work environment where your ideas and contributions are valued, and where you'll have the resources and support needed to bring your vision to life. Being part of our team means embracing a culture that fosters continuous learning and professional growth, with access to ongoing training and development opportunities. You'll work on diverse and challenging projects, gaining valuable experience and expertise that will set you apart in your career. Key Responsibilities - Design and develop AI-driven applications that address both internal operational needs and external client requirements. - Utilize frameworks such as LangGraph and LangSmith to build, orchestrate, and monitor AI workflows. - Implement solutions that integrate seamlessly with existing systems, ensuring reliability and scalability. - Work in tandem with project managers and product owners to understand project scopes, timelines, and deliverables. - Participate in sprint planning, code reviews, and team meetings to ensure alignment and timely delivery of projects. - Provide technical insights and recommendations during the planning and execution phases. - Develop and refine AI models, ensuring they meet performance and accuracy benchmarks. - Monitor and analyze AI application performance, making necessary adjustments to optimize outcomes. -Stay updated with the latest advancements in AI and machine learning to incorporate best practices into development processes.

Description: I am looking for an experienced freelancer to help me build a centralized AI-integrated knowledge management system in Notion. This system will serve as the backbone for managing large-scale projects, organizing 1,000+ PDF documents, and leveraging AI tools for semantic search, automated categorization, and document summarization. It must be scalable, user-friendly, and designed to support long-term collaboration and growth. The ideal candidate will have expertise in Notion, AI integrations (e.g., Claude, OpenAI, LangChain), automation workflows (e.g., Zapier, Make, or APIs), and file management processes (including OCR). The system should be operational from day one, with all files uploaded, categorized, and fully searchable. Project Goals: 1. Fully Functional System in Notion: Create a centralized knowledge management hub in Notion to organize and manage all scanned files and documents. Upload and categorize 1,000+ PDF files into the system during setup. Build a clean, intuitive interface for managing projects, tasks, and documents. 2. AI Integration: Integrate AI tools (e.g., Claude, OpenAI, Notion AI) for the following: Semantic search: Search by meaning rather than keywords. Document summarization and tagging: Automatically generate summaries and metadata for files. Automated categorization: Categorize files by topics, projects, and metadata (e.g., project name, date, type). AI conversation logs: Enable collaborative decision-making and log AI-generated insights for shared review. 3. File Management and Automation: Automate workflows for importing, renaming, tagging, and categorizing files based on pre-defined rules. Ensure the system can handle OCR (Optical Character Recognition) to make PDFs fully searchable. Provide a blueprint for OCR settings, file-naming conventions, and file preparation best practices. 4. Collaborative Features: Enable multi-user access with role-based permissions for specific projects or categories. Set up dashboards and shared views for collaboration and task tracking. 5. Scalability and Independence: Design the system to handle thousands of files and multiple projects without performance issues. Provide training and documentation so I can independently manage and expand the system in the future. Deliverables: A. Scanning and File Preparation: Provide a step-by-step blueprint for scanning files, including OCR settings and file-naming conventions. Ensure all 1,000+ PDF files are uploaded, tagged, and categorized in Notion during setup. B. Notion Knowledge Base Setup: Build a clean and interconnected workspace in Notion with: Categories, tags, and metadata for file organization. Dashboards for managing projects, tasks, and documents. Automated workflows for file renaming and categorization. C. AI Integration: Integrate Claude, OpenAI, or Notion’s AI for: Semantic search and document summarization. Automated tagging and categorization based on file content. D. Collaboration Features: Set up shared access for multi-user collaboration with role-based permissions. Incorporate an AI conversation log feature to track collaborative decisions and insights. E. Testing and Final Documentation: Test the system with all files uploaded to confirm functionality. Provide a short video tutorial or detailed written guide explaining how to use, maintain, and expand the system. Requirements: The ideal candidate will have: Proven experience with Notion, including advanced setups and database design. Expertise in AI integrations, such as Claude, OpenAI, LangChain, or Notion’s native AI. Familiarity with OCR workflows, file automation, and document management best practices. Strong communication skills to provide clear documentation and training. A proactive approach to safeguarding data, including locking pages, setting permissions, and creating backups. Budget and Timeline: Budget: $900–$1,200 for the full setup and integration. Timeline: Completed within 2–3 weeks from project start. To Apply: Please include the following in your proposal: A brief overview of your experience with similar projects. Examples of previous work, including Notion setups, AI integrations, or file management workflows. Your proposed timeline and approach to completing this project. Any suggestions you have for improving the system.