We are looking for a skilled, hands-on AI Engineer to help us build and optimize our AI product. You will be responsible for designing the AI architecture, integrating modern LLMs/frameworks, and ensuring our AI pipeline runs efficiently, reliably, and accurately in production. Responsibilities Design, build, and deploy custom AI solutions (LLM integration, RAG, AI agents, or fine-tuning). Build robust prompt engineering pipelines, function-calling workflows, or structured output mechanisms. Implement vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) for semantic search and retrieval. Optimize latency, API costs, and context window efficiency across LLM providers (OpenAI, Anthropic, open-source models). Connect AI models to backend services via REST APIs / webhooks. Implement evaluation metrics (hallucination detection, retrieval accuracy, output validation). Required Skills & Qualifications Languages: Python (strong expertise required), TypeScript/Node.js (a plus). AI / ML Tooling: LangChain, LlamaIndex, AutoGen, CrewAI, or direct SDK integrations (OpenAI, Anthropic, Hugging Face). Databases: Vector databases (Pinecone, Chroma, Qdrant, pgvector) + relational/NoSQL DBs. Deployment & Cloud: Docker, AWS / GCP / Azure, FastAPI / Flask, Serverless architectures. Core Concepts: In-depth understanding of Embeddings, RAG, Fine-Tuning, Function Calling, and Agentic Workflows. Preferred (Nice to Have) Experience deploying open-source models locally or on dedicated hardware (vLLM, Ollama, Hugging Face TGI). Experience with fine-tuning techniques (LoRA, QLoRA). Background in frontend AI UI integration (Vercel AI SDK, Streamlit, Gradio).

We are looking for an experienced AI consultant to help configure, optimize, and teach us how to use the Hermes Personal Assistant platform. This is a consulting engagement for an experienced professional who has hands on experience with AI agents, LLM infrastructure, and system integrations. Hermes Agent experience is highly preferred. If you have built similar autonomous AI agent systems, we would also like to hear from you.

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.

I just received a brand-new 2026 MacBook Pro with the following specs and need a skilled professional to configure it from the ground up for powerful, fully agentic AI workflows tailored to construction: • Apple M5 Max chip (18-core CPU / 40-core GPU – built for AI) • 16.2-inch Liquid Retina XDR display • 48 GB unified memory • 2 TB SSD • Wi-Fi 7 Goal: Turn this machine into an easy-to-use, “set it and forget it” AI assistant that handles construction business tasks with minimal input from me. I have zero coding experience and need everything to work through simple interfaces (point-and-click, voice if possible, clear dashboards, or natural language prompts). The system must feel reliable and beginner-friendly. Primary Use Cases I Need Fully Agentic AI For: 1. Email Management • Automatically read, categorize, prioritize, draft replies, and follow up on construction-related emails (bids, RFIs, change orders, supplier communications, client messages). • Smart filtering of spam vs. important project emails. • Ability to generate professional responses in my tone. 2. Bidding & Proposal Workflows • Help create, refine, and manage construction bids/proposals. • Analyze bid documents, extract key requirements, suggest pricing strategies, and flag risks. • Maintain an organized system for tracking multiple open bids. 3. Organizing Bids & Excel Integration • Automatically pull bid data into clean, structured Excel worksheets (or Google Sheets if preferred). • Create and update templates for cost breakdowns, quantity takeoffs, labor/material pricing, timelines, and profit margins. • Keep historical bid data organized so I can reuse and improve future bids. • Generate summary dashboards or reports from the Excel data. 4. Overall Construction Workflow Support • Connect the above tools so the AI can act agentically: e.g., receive an RFP email → extract requirements → start a bid draft → populate an Excel cost sheet → flag missing info → prepare a response email. • Prefer tools that can run locally or with strong privacy where possible, given the powerful M5 Max hardware. What I Expect from You: • Full initial setup and configuration of the MacBook (macOS optimization for AI workloads, recommended apps, security best practices, Time Machine/backup strategy, etc.). • Research, recommend, install, and configure the best current AI tools/agents that work well on Apple Silicon for these tasks (examples of areas to evaluate: email agents, document AI, spreadsheet automation, multi-agent frameworks that are user-friendly). • Create simple, documented workflows I can follow without coding. Provide clear written/video instructions or a one-page “cheat sheet.” • Test everything end-to-end with sample construction emails, bid docs, and Excel files. • Optimize for the M5 Max’s AI capabilities (leverage the high core count, unified memory, and GPU where beneficial). • Recommend any paid subscriptions or free alternatives and explain trade-offs in plain language. • Ensure the system is stable, private where possible, and easy for a non-technical user to maintain. Preferred Skills & Experience: • Strong experience with macOS (especially Apple Silicon / M-series chips) • Hands-on expertise with modern agentic AI tools, LLM agents, and automation platforms that require little or no coding • Familiarity with construction, estimating, bidding, or project management workflows is a big plus • Experience setting up AI email assistants, document processing, and Excel/Google Sheets automation • Excellent communication skills — ability to explain everything in simple, non-technical language • Proven track record of delivering complete, ready-to-use systems for non-technical clients Deliverables: • Fully configured MacBook ready for daily use • Documented step-by-step workflows for email, bidding, and Excel • Recommended tool stack + login/setup credentials handed over • Short training session (video call or recorded) so I understand how to use everything • Optional ongoing support package for the first 30 days Project Type: One-time project with the possibility of ongoing support/maintenance. Budget: Please propose your best fixed-price or hourly rate based on the scope. I’m looking for quality and reliability over the cheapest option. Include an estimate of total hours or fixed price in your proposal. Timeline: I’d like the core setup completed within 1–2 weeks of starting, with training shortly after. To Apply: Please include: 1. Relevant past experience setting up AI workflows on Mac (especially Apple Silicon). 2. Specific tools or approaches you would recommend for agentic email + bidding + Excel automation. 3. Confirmation that you can deliver a no-code/low-code solution suitable for a complete beginner. 4. Your proposed timeline and pricing. 5. Any questions you have about my construction workflow. Looking for a reliable expert who can make this powerful new MacBook Pro feel like a true AI-powered construction assistant from day one. Thank you!​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

I'm early in my career and self-taught, working on breaking into AI engineering, and I want one honest hour with someone actually in the trenches — not a sales pitch, not encouragement. Just a candid conversation, video on. What I'm after: your unvarnished read on how someone in my position actually breaks in, where the field is really headed, what companies are truly paying to have built or solved, and — if you were starting out today with what you know now — exactly what you'd do over the next 6 months. About me: no CS degree, no traditional pedigree — I've been learning by shipping real projects (I've built a couple of small live AI products end-to-end: RAG, an agent, automation). I know enough to ask good questions and I'll come prepared so we use the time well. I'd also love to show you one thing I built for 60 seconds of brutally honest feedback.

Looking for an HyperAgent Expert. You should have setup several AI Agents for clients and be familiar with several of the following: - HyperAgent - LangGraph - CrewAI - AutoGen - Make.com - n8n - MCP - API integrations - CRM automation Looking to hire immediately.

About us We're a growing multi-location dental group in South Florida. We've already designed a fleet of 8 internal automation agents — complete written specs, working code templates, and infrastructure in place. We need a skilled developer to build and deploy them. This is implementation work with clear specs, not open-ended R&D. What you'll build Python automation agents that pull data from our practice management system's REST API (auth pattern already proven in production scripts you'll receive) Claude API integrations (drafting appeal letters, patient texts, weekly analyst reports) with a strict de-identification pattern we'll teach you Firebase (Firestore) reads/writes and light updates to existing web dashboards (deployed via Netlify) Scheduling via Windows Task Scheduler; simple HTML email reports Occasional work with HubSpot API and Google Sheets You're a fit if you have 3+ years Python, comfortable with REST APIs, JSON, and error handling Firebase/Firestore experience Experience integrating LLM APIs (Anthropic/OpenAI) Ability to work from an existing codebase and follow written specs precisely Strong written English and reliable weekly availability (EST business hours overlap) Healthcare/HIPAA experience a plus, not required — but you must be willing to learn and follow our PHI handling rules exactly Requirements (non-negotiable — please do not apply if you cannot meet all of these) Located in the United States with US work authorization. No offshore contractors or agencies. Completed W-9 on file before any work begins Background check required (we order and pay for it) Signed NDA and HIPAA Business Associate Agreement (BAA) required before you are granted any access to systems containing Protected Health Information (PHI). This is a healthcare environment — no exceptions. Video call interview with camera on; government ID verification All access granted via individually credentialed accounts (no shared logins), revocable by us at any time How we'll work Paid test task first: build one small agent (~4–6 hrs) from our spec using our template. Paid at your full rate. Then ~10–20 hrs/week building out the remaining agents, one at a time, each with a written "done when" acceptance test After the initial build-out (est. 60–100 hours total), ongoing part-time maintenance and new features for the right person Weekly check-in call; async otherwise To apply Briefly describe a Python + API automation project you built (what it pulled, what it produced, how it was scheduled) Confirm you're US-based and willing to complete a background check and sign a BAA Your hourly rate and weekly availability Start your proposal with the word "HUDDLE" so we know you read this

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.

Job Description We are looking for an experienced AI/automation developer to build a reusable conversational agent that can book appointments, collect payments, and integrate with different third-party systems through APIs. The solution should not be limited to one industry. It should have a modular, API-first architecture so it can be configured for healthcare, beauty, consulting, home services, restaurants, professional services, and other appointment-based businesses. The agent should be capable of communicating with customers, checking real-time availability, booking or rescheduling appointments, collecting required customer details, processing payments securely, and sending confirmations and reminders. Core Features AI-powered conversational booking flow Check real-time staff, service, and location availability Book, reschedule, and cancel appointments Support multiple services, employees, locations, and time zones Collect customer information and custom booking questions Calculate service prices, deposits, taxes, and discounts Generate secure payment links or payment sessions Confirm payment status before finalizing appointments Send booking confirmations and reminders Handle common customer questions Escalate conversations to a human when required Maintain conversation, booking, and payment logs Admin configuration for business rules and integrations Integration Requirements The platform should support integration through REST APIs, webhooks, and reusable connectors. Initial integrations may include: Google Calendar and Microsoft Outlook Calendly or similar scheduling platforms Stripe, PayPal, Square, or other payment gateways CRM and ERP systems Custom booking platforms Email, SMS, WhatsApp, web chat, or voice systems Zapier, Make, or n8n where appropriate We understand that no solution can automatically integrate with every system without configuration. The goal is to create a standardized integration layer that makes adding new systems fast and manageable. Technical Expectations Secure and scalable backend architecture OpenAI, Claude, Gemini, or another suitable LLM Function calling/tool calling for reliable actions Structured workflows rather than relying only on free-form AI responses Authentication and role-based access API key and credential management Webhook handling and retry mechanisms Time-zone and daylight-saving support Idempotency to prevent duplicate bookings or payments Proper error handling and audit logs PCI-conscious payment implementation without storing raw card details Documentation for adding new integrations Deliverables Technical architecture and database design Working MVP of the AI booking and payment agent Calendar and payment integrations Reusable connector or adapter framework Admin configuration interface API and webhook documentation Testing and deployment Source code and setup instructions Ideal Candidate Strong experience with AI agents and LLM function calling Experience building appointment-booking systems Experience with Stripe or similar payment APIs Strong Node.js, Python, or equivalent backend experience Knowledge of webhooks, OAuth, REST APIs, and third-party integrations Experience with conversational workflows, chatbots, or voice agents Ability to design a reusable multi-tenant architecture Strong understanding of security and payment compliance Please include relevant examples, your recommended architecture, development timeline, estimated cost, and the integrations you recommend for the first MVP.

We sell bottleless water cooler systems to small and mid-sized businesses. We have a working caller script and an operating system in place. We need an experienced voice AI developer to build and tune an outbound agent that calls business landlines, navigates the front desk, reaches the decision maker, and books a 15-minute in-person appointment for our rep. This is not a "set up a Vapi assistant" job. We need someone who has shipped outbound voice agents that survive real gatekeepers and knows why most of them fail. Scope of work Build the agent on an established platform (Vapi, Retell, LiveKit, or your recommendation — tell us why) Telephony setup, caller ID, local presence dialing Implement our existing call flow: gatekeeper navigation → decision-maker qualification → appointment booking → confirmation Branch logic for all four call outcomes: live person, gatekeeper block, IVR/phone tree, voicemail Voicemail detection with a defined action Reliable email capture over voice with character-level confirmation loop Calendar integration — create the invite and send it during or immediately after the call CRM logging with structured call outcomes (reached DM / gatekeeper block / voicemail / IVR / opt-out / booked / disqualified) Real-time opt-out detection writing to an internal DNC list Full transcript and audio logging Critical requirements Turn-taking and latency tuning. Endpointing thresholds, interruption handling, sub-500ms response. This is the difference between an agent that books and one that gets hung up on. We will evaluate you on this. Hard scope constraints. The agent sells the appointment Deliverables Working agent, that is able to book a meeting that is held in person Documented prompt and flow we can edit ourselves Test/regression harness with our scenario set Dashboard or reporting on call outcomes 60–90 minute handoff session so our team can maintain it Please include in your proposal A phone number I can call to hear an outbound agent you built. This is required — proposals without one won't be reviewed. How do you tune endpointing and interruption handling? Be specific about parameters. How do you handle email address capture over voice, given ASR error rates? Have you built agents that navigate gatekeepers or IVR trees? What worked? Engagement Starting with a paid pilot: one working agent, one vertical, tested and dialing. Ongoing optimization work available for the right person. Please quote for the pilot scope above and give a realistic timeline.