Title: Backend Developer — AI Data Pipeline, Vector DB & Real-Time Push API Post: We are building an automated backend system that continuously crawls public web sources, processes and indexes content using AI, and delivers updates via webhooks. Looking for someone who has built this type of system before and can move fast. NDA required before project details are shared. What you’ll build: • Web crawler network —. • AI processing pipeline — cleans, deduplicates, chunks, and embeds ingested content into a vector database using an LLM embedding model. Quality scoring and incremental updates required. • Push API — monitors for significant content changes and delivers updates via webhook endpoints automatically. Includes configurable push schedules per subscriber, REST query endpoint, API key authentication, and token usage tracking per key. Tech stack (flexible — use what you know best): • Python (FastAPI) or Node.js • Any vector DB — Pinecone, ChromaDB, Supabase • Any LLM API — Anthropic or OpenAI • Any scheduler — n8n, APScheduler, cron • Redis for queue management • Railway, Render, or AWS for deployment Requirements: • NDA signed before kickoff — non-negotiable • Must have built RAG pipelines or vector DB systems in production — not tutorials • Must have experience with web crawlers and scheduled job pipelines • Must have experience with webhook delivery systems • GitHub or portfolio showing relevant deployed work required • 95%+ Job Success Score preferred • Individual contractors only — no agencies To apply include: • Example of a similar system you’ve built — web crawler, RAG pipeline, or push notification API • Your preferred stack for this type of build • Brief technical approach in 3–5 sentences • Hourly rate and availability to start Budget: $50–$80/hr Timeline: 3 weeks — focused sprint with daily check-ins

We are seeking an experienced Full-Stack AI Product Engineer to help build a secure AI-powered business application for regulated organizations. This project involves building a professional AI platform with document analysis, structured AI workflows, knowledge-base integration, user login, admin controls, and downloadable business outputs. This is not a basic chatbot or prompt-only project. We are looking for someone who has built real AI applications, preferably SaaS products, secure portals, or AI tools for business, legal, risk, compliance, financial services, or other regulated environments. Key Skills Required: --Full-stack web application development --AI application development --RAG / knowledge-base architecture --Document upload and document analysis --OpenAI, Azure OpenAI, Anthropic, or similar AI model experience --Vector database experience --Secure user authentication --Role-based access controls --Secure file storage --Admin dashboard development --AI workflow or agent development --PDF, Word, and Excel report generation --Cloud deployment experience --API integration experience --Strong documentation and handoff practices Preferred Experience: --SaaS platform development --Financial services, legal tech, compliance, risk, cybersecurity, or regulated-industry experience --Building AI tools that analyze uploaded documents and produce structured outputs --Enterprise security, data privacy, audit logs, and customer data separation Important Requirements: The selected developer must be comfortable working under an NDA and IP agreement. All platform design, prompts, workflows, templates, scoring logic, documentation, source code, and related work product created for this project will be owned by our company. The developer may not reuse, resell, repurpose, publish, or train other tools using our materials, concepts, client data, workflows, or proprietary information. To Apply, Please Provide: --Examples of AI tools, SaaS platforms, or secure web applications you have built --Your experience with RAG, document analysis, and AI workflows --Your recommended technology stack for a secure AI business platform --Estimated MVP timeline --Estimated cost or pricing structure --Whether you work alone or with a team --How you handle data security, confidentiality, and IP ownership We are looking for someone who can think like a product builder, build securely, communicate clearly, and help create a professional AI platform suitable for regulated business users.

Overview Transit & Flow is a fast-scaling Columbus home services company (plumbing, HVAC, drain, sewer, water heater, sump pump) building a premium, AI-powered operation. We are wiring together a set of best-in-class platforms into one self-functioning system that captures, books, reschedules, reminds, invoices, and follows up with customers automatically across phone, website chat, and Thumbtack. We need a senior integration specialist to stand this up cleanly, end to end, on a short-term contract. This is an execution role for someone who has built production voice-AI and automation systems before, not a learner. Detailed architecture blueprints will be provided to the hired contractor under NDA. What you will build A connected stack with no manual re-entry between systems: • Bland AI voice agents (several agents: inbound scheduler, after-hours and emergency handling, Thumbtack lead agent, and an outbound reminders and follow-up agent) • A website chat agent running the same booking logic in text • Thumbtack Live Connect bridged to a Bland agent via API and webhook, plus the Thumbtack lead feed into our automation bus • Quo.com as the telephony and SMS layer (call forwarding to Bland, SMS send via API, one consistent business number) • GoHighLevel CRM integration (contact sync, pipelines, nurture) • Make.com as the orchestration layer (scenarios for booking, rescheduling, reminders, estimates, invoicing, lead intake, error handling) • Scheduling, rescheduling, cancellation, and automated appointment reminders against our field service management platform (currently Jobber, migrating to OctopusPro, so platform-flexible API work is required) • Email automation including emailing and resending invoices and receipts on request Core responsibilities • Configure Bland pathways, custom tools, and webhooks that read and write to our systems mid-call (check availability, book, reschedule, cancel) • Build robust Make.com scenarios with idempotency, retries, error handling, and alerting • Integrate REST APIs and webhooks across Bland, Quo, GoHighLevel, Thumbtack, the FSM, and email • Bridge Thumbtack Live Connect to a dedicated Bland number so leads are answered live • Implement automated SMS and voice reminders with confirm and reschedule handling • Document everything and deliver a clean handoff so the system is maintainable and scalable Must-have skills • Proven production experience with a voice-AI platform: Bland strongly preferred, or Vapi, Retell, or Synthflow with transferable skill • Advanced Make.com (or n8n) including webhooks, data stores, error handling, and routing • Strong REST API and webhook integration skills, JSON, authentication, signing • GoHighLevel API experience • Telephony and SMS concepts: call forwarding, SIP or number routing, A2P • Ability to design for scale and reliability, not just a demo that works once Nice to have • Quo.com or comparable VoIP platform experience • Thumbtack pro tooling or lead-response automation experience • Home services or field service management background • OctopusPro, Jobber, or similar FSM API experience Engagement • Short-term contract, estimated 3 to 5 weeks • Milestone-based fixed price preferred, hourly considered for the right expert • Async daily updates, a few live working sessions per week • NDA and scoped system access required; you will not receive owner credentials How to apply Do not send a generic proposal. Answer these in your application: 1. Link or describe a voice-AI agent you built that booked or scheduled against a live external API mid-call. What platform, what API, what was the hardest part? 2. How do you make Make.com or n8n scenarios idempotent and resilient to duplicate webhooks and failed calls? 3. In two or three sentences, how would you bridge Thumbtack Live Connect to a voice AI agent so the agent answers the lead live? 4. Your proposed milestone breakdown and realistic timeline for the scope above. 5. How you handle client credentials and secrets securely. Strong applications that show real systems thinking move to a short paid test task before the full award.

Project Overview We are building an AI-powered voice receptionist agent for a dental practice client. The agent will handle inbound calls 24/7 — booking, rescheduling, and canceling appointments, answering FAQs, and escalating complex situations to a human. The voice layer is built in Retell.ai and the orchestration/automation flows run in n8n, with integration into a dental practice management systems. This is a hands-on build role, not consulting. You will design, configure, and iterate the agent working directly with our founding team. What You'll Build: Conversational voice flows for new and returning patients (booking, rescheduling, cancellations, FAQs, insurance questions, urgent/emergency triage) Clean escalation paths to human staff when the agent can't handle the call n8n workflows connecting the voice agent to the practice management API for real-time schedule reads/writes HIPAA-conscious configurations and tool choices throughout the stack Performance tracking and iterative prompt/flow improvements based on real call feedback Seeking an Expert Who: You've built multiple production voice agents, ideally in healthcare or dental, and can own the full stack from architecture to delivery. You think critically about latency, barge-in behavior, edge cases, and HIPAA compliance — not just happy-path flows. Requirements: Deep expertise in Retell.ai — prompt tuning, latency optimization, interruption/barge-in handling, LLM selection, and cost modeling Advanced n8n automation — complex branching logic, dynamic data handling, external API integrations, and error recovery Experience with dental or healthcare organizations — you understand how practices operate, what front desks actually deal with, and how to translate that into agent logic HIPAA awareness — you know which tools and configurations are appropriate for PHI workflows Track record of full-cycle delivery: scoping → build → pilot → iteration Nice to have: Dentrix Ascend integration, NexHealth, prior AI receptionist or appointment-booking agent for a clinic/practice. 📋 To Apply, Please Answer Have you built a production voice agent with Retell.ai? If yes, briefly describe it. What's your approach to managing Retell.ai per-minute costs on an inbound call agent? Have you worked with dental or healthcare clients before? What was the workflow? Paste a relevant n8n workflow screenshot or describe your most complex flow.

I am building a daily AI voice call service called Still Here for seniors. Every morning, a warm familiar voice calls each member by name, remembers what they said last week, and has a real conversation — not a check-in, not a menu, not a script. A genuine morning conversation. All conversation scripts are already written. I provide everything. I need technical setup only. WHAT I NEED: • Retell AI account configured with HIPAA BAA signed • Florida phone number purchased and connected • Warm natural voice selected (must not sound robotic or rushed) • 7 conversation flow pathways built from my written scripts • Scheduled daily outbound calls at member-specified times • Call transcripts emailed after each call • Missed call alert system • Airtable integration for member management • 1-hour handover call — train me to manage everything going forward. CRITICAL FOR THIS PROJECT: Latency and voice warmth matter more than anything else. The person on the other end is a senior who may be lonely or uncertain. An awkward pause or robotic response breaks everything we are building. You must have experience with warm, natural outbound conversational agents — not just inbound IVR systems or chatbots. PLEASE INCLUDE IN YOUR PROPOSAL: • Your Retell AI experience specifically — projects completed • A phone number I can call to hear one of your Retell AI builds • Your approach to minimizing latency for natural conversation • Your estimated timeline • Confirmation you will sign an NDA before project details are shared A signed NDA is required before any Still Here materials are shared.

AI Engineer (RAG & Agentic Workflows). *LLM RESPONSES AUTOMATICALLY AVOIDED* We have already launched a production generative AI product that utilizes a custom Retrieval-Augmented Generation (RAG) architecture. We are now expanding the platform to include CRM intelligence, workflow automation, and agentic AI capabilities. This is **not** a prompt engineering role. Seeking an engineer with deep experience building and deploying production AI systems that combine LLMs with multiple structured and unstructured data sources. You should be comfortable walking into an existing, complex codebase, understanding the current architecture, and improving it. Existing AI Architecture Our current AI architecture consists of: * OpenAI embeddings * Embeddings stored in MongoDB * MongoDB Atlas Vector Search for retrieval * Retrieval from both structured SQL data and unstructured document collections * Existing tool/function-calling architecture **Please do not apply if you have not previously built or maintained production RAG systems using embeddings and vector search.** Experience specifically with **OpenAI embeddings and MongoDB Atlas Vector Search** is highly preferred. CRM Intelligence Layer We are currently building a CRM platform and need the AI to reason over CRM records, including the other records are RAG currently retrieves. You will be responsible for designing and implementing the AI integration layer that enables the LLM to intelligently retrieve and reason over CRM data. This work includes: * Designing AI tools/functions that expose CRM data to the LLM. * Implementing backend tool handlers that retrieve CRM records. * Defining tool schemas and instructions so the AI knows when and how to retrieve CRM information. * Building secure retrieval mechanisms that enforce strict user and organization-level access controls. * Transforming raw CRM records into structured, AI-ready context. The AI will need to reason across: * CRM contacts and organizations * client profiles * Deals and opportunities * Projects * Tasks and reminders * Notes * Email history * SMS and WhatsApp communications * Call transcripts * Meeting summaries * Documents and contracts * Workflow history Agentic AI & Workflow Automation * Build proactive AI agents that generate alerts, recommendations, follow-ups, reports, and suggested next actions. * Design systems capable of reasoning across both structured and unstructured data sources. * Architect and implement multi-step and multi-agent workflows. * Develop workflow intelligence that assists users in completing real-world business tasks. Required Experience * Demonstrated experience building and deploying production AI systems used by real customers. * Experience working with embeddings, vector databases, and retrieval pipelines. * Experience implementing LLM tool/function-calling architectures. * Experience integrating AI systems with business systems such as CRMs, ERPs, or other operational databases. * Experience combining structured and unstructured data within AI applications. * Strong backend engineering and systems architecture experience. * Demonstrated ability to quickly understand and improve existing codebases. * Ability to independently own and deliver complex technical initiatives. Strongly Preferred * Experience with OpenAI embeddings. * Experience with MongoDB Atlas Vector Search. * Experience building agentic AI systems and workflow automation. * Experience designing long-term memory architectures. * Experience building multi-tenant SaaS applications with strict authorization requirements. * Experience implementing evaluation and monitoring pipelines for production AI systems. What We Value * High accountability and ownership. * Strong communication skills. * Product thinking and user empathy. * Ability to understand user workflows before writing code. * Pragmatism and sound engineering judgment. PLEASE DO NOT WASTE OUR TIME IF YOU NOT MEET THE REQUIREMENTS 

Build Private AI Chat Tool Using Anthropic Claude API — Law Firm Budget: $1,500–$3,000 fixed price Description: I'm a managing attorney at a small law firm in New York. I need a private, secure web application that gives my 4-person team access to Claude AI for document summarization and legal drafting — using the Anthropic API with Zero Data Retention so no client data is stored externally. What I need built: Browser-based chat interface (works like claude.ai but private) Per-user login (4 users) PDF upload — user uploads a document, selects a task (summarize medical records, extract key facts, etc.), Claude returns structured output Conversation history saved to our own encrypted database, tagged by case number Admin view where I can see all conversations across all users Hosted on a private server with HTTPS/SSL No data logged or stored outside our own database Clean, simple UI — non-technical staff must be able to use it Tech requirements: Anthropic Messages API (claude-sonnet-4-6) Zero Data Retention configured on the API account PostgreSQL or similar database for history Per-user authentication (JWT or similar) PDF text extraction before sending to API Encrypted database at rest You must have: Prior experience with the Anthropic Claude API specifically Experience building secure web apps with user auth and databases Portfolio or examples of similar builds Please answer this in your proposal: have you configured Zero Data Retention on the Anthropic API before? This is a fixed-price project. I own all code upon final payment.

We are looking for a hands-on Forward Deployed AI Engineer to help build practical AI systems This is not a pure backend role and not a strategy-only consulting role. You will work close to end users, understand how their workflows actually operate, and then build AI-enabled tools that solve specific business problems. The ideal person is a strong software engineer who is comfortable with ambiguity, can communicate clearly with non-technical stakeholders, and can take an AI prototype from idea to something reliable and usable. What you will do - Learn the business workflows, systems, data, and constraints. - Build AI applications using Claude or similar large language models. - Use the right mix of prompting, retrieval, tool use, agents, and workflow automation. - Own delivery from scoping through prototype, testing, hardening, and handoff. - Create evaluations to determine whether the system is accurate, reliable, and safe enough to use. - Translate between domain experts and technical implementation. - Work carefully with sensitive or regulated data. - Document what you build so it can be maintained and reused. What we are looking for - Strong Python engineering skills. - Hands-on experience building with LLMs, preferably Claude or the Anthropic API. - Experience with RAG, structured prompting, tool use, evaluation, or agentic workflows. - Ability to operate independently in a messy, ambiguous environment. - Strong communication skills with both technical and non-technical stakeholders. - Track record of shipping working software, not just demos. - Comfort working with real-world data, integrations, and imperfect requirements. Helpful but not required - Prior forward deployed engineering, solutions engineering, or technical consulting experience. - Experience building AI tools for enterprise customers. - Experience in regulated or sensitive-data environments. - Familiarity with validation, auditability, traceability, or compliance-oriented workflows.

We are seeking a senior AI developer to build and enhance AI models for our business. The role involves developing, testing, and deploying AI solutions, as well as improving existing models to increase accuracy and performance. The ideal candidate should have strong experience in AI development and be able to work independently on complex projects.

We're hiring 2 experienced developers to build AIOS deployments for our growing client base. FluentOS is a 9-person team that builds AIOS (AI operating systems) that connect a business's existing platforms together and run AI agents on top of them. We're onboarding 6–7 new client projects every week and need two more builders who can take a project and deliver it. The industries we work in: We deploy across a wide range of professional and service businesses, so you'll get variety: - Financial services & wealth advisory - Tax & accounting firms - Dental and medical practices - Home services & roofing - Property management Each client runs on a different stack — CRMs, comms tools, scheduling, payment systems, document and data sources — and our job is to unify those into one system and build agents that operate across them (lead response, follow-up, reporting, document workflows, estimating, intake, and more). What you'd be building: - AIOS deployments end to end — integrating client platforms via their APIs - AI agents that read/write across those connected systems - Reliable, production-grade automations that real businesses depend on daily What we're looking for: - Proven delivery experience — you've shipped projects clients actually use, not just personal experiments - Strong coding background (Python and/or TypeScript); comfortable with API integrations and agent frameworks - Experience with LLM/agent development (Anthropic/Claude, tool use, multi-step agents) is a big plus - Fast, organized, and communicative — we move quickly and build as a team, not in isolation - Able to work closely with Ray, our lead developer, who'll get you ramped into live projects The setup: - 1099 contract, paid per project — not salaried - Steady, scalable volume (6–7 new projects/week) means consistent work for builders who deliver - Strong potential for ongoing, long-term collaboration as we scale To apply: Tell us briefly about a real project you've built and delivered — ideally something involving API integrations, automation, or AI agents. Include links to work or repos if you have them. Please start your reply with the word "FLUENT" so we know you read this. We'll be scheduling interviews shortly.