We are seeking a highly skilled Backend Developer to join our dynamic technology team, focusing on ensuring high performance and responsiveness to requests from our users. In this role, you will be responsible for designing, developing, and maintaining robust backend systems that drive the core functionalities of our applications. You will collaborate closely with frontend developers, product managers, and other stakeholders to deliver seamless, efficient, and scalable solutions. The ideal candidate is passionate about writing clean, efficient code and has a strong understanding of server-side logic, database management, and API integration. You should be proactive in identifying performance bottlenecks and optimizing the backend infrastructure to improve response times and user experience. Your work will directly impact the reliability, speed, and overall success of our services, making this a vital position in our company. If you thrive in a fast-paced environment and enjoy tackling complex technical challenges, this role offers an excellent opportunity to grow your career and contribute to innovative projects that reach a wide audience. Your primary responsibility will be to: - Develop, test, and maintain high-performance backend services and APIs. - Ensure the responsiveness and efficiency of applications to handle varying request loads. - Collaborate with frontend developers to integrate user-facing elements with server-side logic. - Optimize application for maximum speed and scalability. - Manage and maintain database systems ensuring data integrity and security. - Identify bottlenecks and implement solutions to improve application performance. - Participate in code reviews and contribute to agile development processes.

We are a market research firm with an internal development team that is very capable. We are looking for an individual or team to act in a consulting role as we explore development work in the synthetic data / digital twins space.

Looking for an experienced AI developer to help build an AI agent using Claude. Requirements: Experience building AI agents and autonomous workflows Strong experience with Claude and Anthropic models Ability to integrate external data sources and APIs Experience deploying production-ready AI solutions Please include: Examples of similar AI agent projects you've built Your experience with Claude Your recommended tech stack Estimated timeline and cost Looking to start immediately.

We are seeking an engineer to integrate Claude AI with Guesty for our 49-property short-term rental portfolio. The role involves developing a custom integration to automate guest communication and enhance operational efficiency. The ideal candidate will have experience in AI integration and short-term rental management systems, with a focus on API integration and automation.

I'm a 50-year financial services veteran, bestselling author, and podcast host (890+ episodes). I run multiple businesses and produce a constant stream of books, content, and communications. I've adopted Claude Cowork and Claude Code as the backbone of how I work going forward — and I need a copilot. **What this is:** A recurring, paid, hourly 1-on-1 relationship. Think flight instructor plus copilot. Two jobs in one: 1. **Teach me, live.** Screen-share sessions where you show me exactly how to do the specific thing I need — no curriculum, no workshops, no theory. I bring the question, you give me the answer fast. 2. **Take the controls when it's over my head.** Tasks too complex for me get offloaded to you directly. **My setup (non-negotiable — you must be fluent here):** - Mac desktop, Apple ecosystem: Apple Mail, Apple Notes - Dropbox as the local file home base for Cowork - No Google Workspace, no Notion, no Slack. Don't pitch me a migration. **You must have:** - Real, current, hands-on experience with **Claude Cowork specifically** — not just Claude Code, not just ChatGPT, not general "AI consulting" - Claude Code and Claude.ai (Projects, Skills, connectors, MCP) expertise - Proven ability to teach a smart non-engineer — clearly, quickly, without jargon - Availability for a weekly standing call plus async questions between sessions **How I work:** I'm direct. I know exactly what I want. I don't do group learning and I don't waste time. If you can answer a question in two minutes, answer it in two minutes. I pay well for speed and expertise, and this engagement has no end date — books, content, organization-building, and communications work will keep coming indefinitely. **To apply:** Skip the boilerplate. Tell me: (1) one real thing you've built or automated with Claude Cowork, (2) your experience working within an Apple/Dropbox environment, and (3) your hourly rate and weekly availability. I'll do paid one-hour trial sessions with my top candidates and pick one. If you're a doer who can also teach, this is a long-term seat in the cockpit.

We are seeking a candidate with a strong background in analytics solutions and data engineering. The ideal candidate will have the following skills and experiences: Design and Architecture: Experience in designing and architecting end-to-end Analytics solutions in Synapse and Power BI. Familiarity with Change Data Capture (CDC) frameworks is a plus. Technical Expertise: Proficiency in developing, architecting, and maintaining Azure Synapse Analytics end-to-end solutions, Azure Databricks, and Spark pools. Experience in monitoring high-volume, complex data warehouse and analytical processes is required. Azure Platform: Experience with Azure Data Lake, Azure Data Factory, Azure Data Flow, PowerBI, Azure Functions, and Databricks. Data Pipeline and Modeling: Ability to create data pipeline designs, source-to-target mappings, and data models. Data Engineering Knowledge: Understanding of data engineering requirements and design practices including fact qualifier matrices, dimensional modeling, and business questions. Communication Skills: Strong relationship and communication skills to collaborate with and document end-users’ needs. Optimization: Experience in architecting solutions to optimize dedicated SQL pools in Azure Synapse Analytics using different data distribution methods, partitioning, and query optimization. Knowledge of performance/cost optimization techniques is a must. Migration: Experience in large-scale warehouse migration from on-premises to cloud environments. PowerBI Architect: PowerBI architect experience is preferred. Relevant certification is a plus.

We are a fast-growing telecom / AI-First CPaaS serving sms and voice API's. We are building the first AI-first communications platform (SMS, Voice, RCS, AI agents) designed for speed, simplicity, and real-world business outcomes. We are not looking for a “task completer.” We are looking for a true senior engineer who: thinks in systems moves fast makes decisions independently writes clean, scalable code uses AI tools (Claude, etc.) as a force multiplier ⚠️ Read This First *DO NOT APPLY IF YOU ARE PRETENDING TO BE IN A DIFFERENT COUNTRY. PROOF OF RESIDENCY IS REQUIRED. Most applicants will not be a fit. If you need: detailed tickets hand-holding constant direction This is NOT the role for you. If you are the type of engineer who: sees a problem and solves it end-to-end improves architecture without being asked ships quickly without sacrificing quality You will thrive here. What You’ll Do Build and ship full-stack features across our platform (messaging, voice, AI workflows) Make architectural decisions (not just implement) Improve system performance, reliability, and scalability Work directly with founders (no PM layers) Move from idea → production very quickly What We Expect (Non-Negotiable) 5+ years real full-stack experience (not just titles) Strong backend experience (Node.js / APIs / infra) Strong frontend experience (React or similar) Experience building production systems at scale Ability to work autonomously with minimal direction High ownership mentality Bonus (but highly valuable) Experience with telecom / CPaaS / messaging Experience with AI integrations (LLMs, agents, workflows) Experience optimizing performance at scale Startup experience (especially early-stage or fast growth) How We Work Small, high-output team Very fast iteration cycles No unnecessary meetings High trust, high expectations We use AI tools heavily (Claude, etc.) — you should too What We Care About Most Not your resume. We care about: How you think How you build How fast you execute The quality of your code To Apply Please include: Links to projects you’ve built (real production work) A short explanation of: a system you designed end-to-end a difficult technical decision you made independently Your GitHub Optional (but strong signal): Share how you use AI (Claude, etc.) in your workflow Compensation Competitive (based on experience) Long-term opportunity with a fast-growing, profitable company If you are truly senior, this will feel obvious. If not, this role will be very uncomfortable. **THIS IS A FT, HOURLY ROLE. PROVIDE YOUR REQUESTED HOURLY RATE IN PROPOSAL**

n8n, OpenAI, GoHighLevel, Slack, and API Integrations About the Project I’m the founder of several growing businesses, including: ALCD Systems, our software platform for licensed care providers Care Operator Blueprint, an education and coaching company Entrepreneur Advantage Hub Additional businesses operating under one parent company I want to create a connected operating system that brings together our AI tools, employees, virtual assistants, software, and automations. This is not a chatbot project, and I’m not looking for someone who only builds basic automations. I need an experienced person who can evaluate what we already have, recommend the right approach, and build the foundation for a system that can grow with our companies. What I’m Building My long-term goal is to use AI in different areas of the business, including: Executive and operational support Sales Client success Marketing Human resources Compliance Finance These AI assistants should be able to share information, start workflows, flag problems, and support our team when needed. The goal is to reduce bottlenecks and help the business operate more efficiently—not to replace the human team. I want to build this in practical stages, beginning with a strong and manageable first version. Current Software We currently use: ALCD Systems, our proprietary software platform GoHighLevel Slack Google Workspace OpenAI Claude Base44 for internal tools Various APIs and webhooks We may add Supabase or other supporting tools if there is a clear reason to do so. What I Need I’m looking for someone who can: Review our current systems and workflows Recommend a practical system design Connect our software through APIs and webhooks Build reliable automations using n8n Connect our AI tools with the software our team already uses Create workflows that can grow with the businesses Document what is built in clear, understandable language Recommend appropriate security and data-access controls Help plan future phases without overbuilding the first version I value dependable, practical solutions over unnecessary complexity. Required Experience You should have strong, hands-on experience with: n8n API integrations and webhooks OpenAI and Claude APIs Slack integrations GoHighLevel Databases such as Supabase or PostgreSQL AI-powered workflow automation Designing and documenting connected business systems Experience with multi-agent systems, LangGraph, CrewAI, MCP, Docker, or vector databases is helpful, but not required. I care more about your ability to build a reliable system than the number of tools you can list. First Phase The first phase will focus on building the foundation and proving that the approach works. Expected deliverables include: A review of our existing systems A recommended design and explanation of how the pieces will work together Connections between the most important software platforms At least one useful, working AI-supported workflow Clear documentation A roadmap for future phases If the first phase goes well, I would like to continue working with the same person to improve and expand the system over time. Communication I appreciate proactive communication and honest recommendations. If there is a better or simpler way to accomplish something, I want you to explain it. I prefer working with someone who can discuss technical topics in plain English and who is comfortable collaborating on a long-term project. To Apply Please answer the following questions: What is the largest AI or business automation system you have personally built? What software did it connect, and what was your role? Based on the tools listed in this post, how would you approach the first phase? Please explain your thinking in plain English. I’m more interested in your decision-making than a highly technical answer. Please share links, screenshots, videos, or case studies showing similar work you personally completed. Be clear about which parts you built. Based on your experience, what would you change, simplify, or prioritize in this project? What would your first 30 days look like, and what would you expect to have working by the end of that period? Important I am not looking for someone who only builds chatbots, simple triggers, or isolated automations. I need someone who can look at the business as a whole, understand how the different systems should work together, and build a reliable foundation that we can expand over time.

Overview I'm looking for an experienced automation engineer to help build an AI-powered business development system for my vacation rental/property management company. This is not a simple Zapier project. My goal is to create a scalable lead generation engine that continuously identifies potential property owners, researches them using AI, manages follow-up through my CRM, and reminds me when it's time to personally reach out. I am a one-person company today, so the system must be simple, reliable, and easy to maintain. My objective is to spend about one hour per day working qualified leads while automation handles everything else. If this project goes well, I expect ongoing work as we continue expanding and improving the system. Current Software Pipedrive CRM Claude AI AirDNA (Property Manager Dashboard) Outlook Microsoft 365 Open to adding additional tools if they provide meaningful value. Project Goals Import new luxury property leads from AirDNA (or other sources) Enrich owner information using public data and AI Create and update contacts and deals inside Pipedrive Generate personalized outreach drafts using Claude Create follow-up tasks automatically Track communication history Keep leads moving through a defined sales pipeline Eliminate repetitive manual work Eventually I'd like to add: MLS transaction monitoring Luxury home sales tracking County ownership data Automated handwritten mail campaigns AI lead scoring KPI dashboards Reporting Initial Workflow An ideal workflow would look something like this: Detect new luxury rental property Research owner information Add owner to Pipedrive Generate personalized first-contact email Schedule phone call task Continue automated follow-up sequence until the opportunity is closed or archived Ideal Experience Please apply only if you have experience with several of the following: n8n Pipedrive API REST APIs Webhooks AI integrations (Claude/OpenAI) CRM automation Email workflow automation Lead generation systems Data enrichment Real estate technology (preferred but not required) What I'm Looking For I am not looking for someone to invent my sales process. I want someone who can take my vision and build a clean, scalable automation architecture with best practices. I'd also like the system to be documented so it can be maintained and expanded over time. To Apply Please include: Examples of automation systems you've built. Your experience with n8n and Pipedrive. Experience integrating AI into business workflows. What you would recommend as the overall architecture for this project. Your preferred hourly rate and estimated timeline. To confirm you've read this posting, begin your proposal with the words: "Luxury Automation." Applications without this will not be considered. I am looking for a long-term technical partner, not someone who simply completes a one-time project.

Project: AI Integration for Existing Web Application Engagement type: Contract / project-based (small agency or independent consultant) Location: United States-based preferred Budget: Small business budget — please quote fixed-price or capped hourly for defined scope Start: Flexible, pilot sprint preferred before full engagement About the project We run a web application built on: • Frontend: React • Backend: Node.js and Java • Database: PostgreSQL • Infrastructure: AWS We're looking to integrate AI into this existing system to reduce manual data updates and add intelligent features — automation, smart search/recommendations, and reduced manual maintenance overhead. We are a small company with a limited budget and are looking for a small, senior-led team or independent consultant who can deliver production-quality work without enterprise-agency overhead or pricing. What we need help with • Auditing our current architecture and recommending where AI adds the most value with the least complexity • Setting up vector search / retrieval (e.g. pgvector in PostgreSQL) for semantic search or RAG use cases • Integrating AWS AI services (Bedrock and/or SageMaker) into our Node.js/Java backend • Building automation (e.g. AWS EventBridge + Lambda) so routine data updates happen automatically instead of manually • Adding AI-powered features to the React frontend (e.g. smart suggestions, summarization, natural-language search) • Ensuring the solution is cost-aware — we need ongoing AWS/AI usage costs kept lean, not just the build cost Ideal candidate / team • Small shop (roughly 2–15 people) or independent senior consultant — not a large offshore agency • Demonstrable senior-level experience: has personally built and shipped production systems with this stack, not just managed a team that did • Hands-on experience integrating LLMs/AI services into an existing production application (not just greenfield AI demos) • Comfortable working with a small business budget and scoping work in phases rather than one large fixed engagement • Clear, direct communicator — able to explain technical tradeoffs in plain language • U.S.-based (or U.S. business entity) preferred for time zone alignment and contracting simplicity What we'll provide • Access to existing codebase, architecture docs, and AWS environment (under NDA) • A single point of contact for requirements and feedback • Clear priorities on which features matter most, once we've discussed scope Engagement structure we're proposing 1. Discovery / architecture review (paid, fixed fee) — assess our system and propose a phased AI integration plan with rough cost estimates (build + ongoing AWS/AI usage) 2. Pilot sprint (1–2 weeks, fixed scope) — implement one narrow AI feature end-to-end to evaluate fit before committing further 3. Phased build-out — based on pilot results, scope remaining work in defined phases How to apply / respond Please share: • 2–3 past projects with a similar stack (Postgres + AWS + AI/LLM integration), ideally with what you built and the outcome • Your team size and who would actually be working on this project • Your typical pricing structure (hourly, fixed-fee, retainer) and rough budget range you work within • Availability and expected timeline for a discovery call We're prioritizing fit and communication over lowest price — we'd rather pay fairly for a small team that gets it right than the cheapest bid.