AI Workflow & Automation Consultant for Executive Search Firm We are an executive search firm looking for an experienced AI technology consultant to help us evaluate, improve, and automate our internal workflows. We are not looking for someone to simply introduce generic AI tools. We want someone who can take a hands-on look at how our business currently operates, understand our recruiting/search process, and help us create practical, efficient AI-enabled workflows that our team will actually use. About Our Current Tech Stack We currently use: RecruitCRM as our applicant tracking/search CRM Microsoft 365 across the business Microsoft Copilot as our enterprise AI tool Claude, which integrates with RecruitCRM Microsoft Teams, Outlook, OneDrive, SharePoint, Word, Excel, and PowerPoint Additional recruiting tools, interview notes, candidate documents, and internal templates We want to better connect and leverage these systems so we can reduce manual work, improve consistency, and make our team more efficient. What We Need Help With We are looking for someone to review our full process and help identify where AI, automation, integrations, or better workflows can improve the way we work. This may include: Reviewing our current recruiting/search workflow from intake through candidate presentation Evaluating how we use RecruitCRM, Copilot, Claude, Microsoft 365, Teams, Outlook, OneDrive, and SharePoint Identifying repetitive manual tasks that can be automated or streamlined Helping us create better workflows for candidate presentations, interview notes, client updates, reporting, and document management Recommending practical AI tools, prompts, templates, automations, or integrations Helping us organize files, notes, candidate materials, and client deliverables more efficiently Training or documenting best practices so our team can adopt the new workflows Ideal Background The ideal consultant will have experience with: AI workflow design for small or mid-sized businesses Microsoft 365, Microsoft Copilot, Teams, Outlook, OneDrive, and SharePoint Recruiting, staffing, executive search, or professional services workflows CRM or ATS systems, ideally RecruitCRM or similar platforms Claude, ChatGPT, Copilot, or other AI tools used in business operations Automation tools such as Power Automate, Zapier, Make, or similar Process mapping, workflow optimization, and implementation Project Goal Our goal is to have someone come in, understand how we work today, and help us build a more efficient AI-enabled operating system for the business. We want practical improvements, not theoretical recommendations. The right person should be able to assess our current state, recommend what should change, help implement improvements, and provide clear documentation or training for our team. Deliverables May Include Current workflow assessment AI and automation opportunity map Recommended tools and integrations Updated workflows for key business processes Reusable prompts, templates, or SOPs Microsoft 365 / Copilot / RecruitCRM optimization recommendations Implementation support Training documentation for our team To Apply Please include: A brief overview of your experience with AI workflow consulting Examples of similar projects you have completed Your experience with Microsoft 365, Copilot, Claude, RecruitCRM, or recruiting workflows How you would approach reviewing and improving our current process Your suggested project structure and estimated timeline We are open to either an initial audit/strategy project or a longer-term implementation engagement depending on fit.

We're a 30-year, family-owned home improvement company in Michigan. We run a modern but disconnected software stack and we're looking for a developer to connect the pieces, automate manual work, and build reporting that actually gets used. This is project-based contract work to start, with steady ongoing work for the right person. Not a full-time role. What you'd be working on: Our tools don't talk to each other and too much still runs on manual data entry and spreadsheets. We want someone who can look at a workflow, find the bottleneck, and build the fix. Examples of projects on our list: Replace an antiquated Google Sheets scheduling system with something modern and connected Build and maintain integrations between our core tools (CRM, call tracking, phone, accounting) Build BI and reporting dashboards that pull from multiple sources into one clear view Automate manual data entry, lead routing, and reporting tasks Set up AI-assisted tooling where it makes sense (call summaries, automated reporting, data cleanup) Our stack: JobNimbus (CRM, system of record) CallRail (call tracking, ~50 numbers) RingCentral (phone) Rilla (sales conversation analysis) QuickBooks (accounting) Google Ads and Facebook Ads Google Sheets / Google Workspace You should have: Strong experience with API integrations and connecting SaaS tools (Zapier/Make is fine for some of it, but we want someone who can write custom code when the no-code tools fall short) Experience building reporting dashboards or BI tools Comfort with one or more CRM platforms (JobNimbus experience is a big plus) Ability to scope a problem, propose a solution, and ship it without heavy hand-holding Clear written communication and the ability to explain technical work to non-technical people Nice to have: Experience with JobNimbus, CallRail, RingCentral, or QuickBooks specifically Experience building AI-assisted workflows (LLM-based summaries, data extraction, etc.) Experience in home services, construction, or contracting businesses

Looking for an elite problem solver, either an ex-MBB consultant with deep technical fluency or a seasoned AI Product Manager, to act as the crucial bridge between business operations and technical AI implementation. You will be responsible for dissecting client operations, prototyping the AI logic, writing flawless engineering briefs, and driving the development team to the finish line. What You Will Do: Workflow Audits & Discovery: Lead deep-dive discovery sessions. Map out existing operational workflows, identify bottlenecks, and pinpoint high-ROI opportunities for AI automation. Prototyping & Technical Translation: Because you are an AI power user, you will prototype the initial AI prompts and logic. You will then translate your operational findings into crystal-clear engineering briefs (or PRDs) so developers know exactly what to build. Development Management: Act as the project lead during execution. Manage the engineering workstream, clear roadblocks, and ensure the final solution is delivered on time, within budget, and achieves the strategic goal. Stakeholder Alignment: Act as the primary liaison between non-technical business leaders and the technical development team. Requirements & Qualifications: Top-Tier Pedigree: 1+ years of experience at a top management consulting firm (MBB, Big 4, Tier 2) OR proven experience as a Technical/AI Product Manager. Advanced AI Fluency: You are an AI power user. You possess advanced prompt engineering skills (e.g., chain-of-thought, few-shot) and know how to force LLMs to output reliable, structured data. Elite Structured Thinking: You excel at turning highly ambiguous, messy business processes into clean, logical frameworks (using Lucidchart, Miro, etc.) and comprehensive technical requirements. Project Leadership: Proven track record of managing technical resources, tracking deliverables, managing budgets, and driving teams to a deadline.

Overview We're building an open-source CLI gateway for multi-agent AI orchestration — model-agnostic, MCP-native, and designed to bring any agent framework online with a single command. The repo is active, well-documented, and growing. We need an engineer to accelerate integration coverage and help attract open-source contributors. The Work Build agent templates and runnable examples for LangGraph, CrewAI, and similar frameworks Add LLM provider support (Groq, Mistral, Gemini, etc.) to the Hermes runtime Write clean, contributor-friendly code that models good PR hygiene Submit work via fork → PR → merge workflow on GitHub You Are Strong Python developer with CLI tooling experience Familiar with at least one of: LangGraph, CrewAI, LiteLLM, LangChain Comfortable with open source GitHub workflows (fork, PR, issues, reviews) Self-directed — you read docs, ask good questions, and don't wait to be unblocked Nice to Have Experience with MCP (Model Context Protocol) Familiarity with SSE, OAuth 2.1, or agent credential management Prior open source contributions Engagement Part-time to start, 20 hrs/week Fixed milestones per integration delivered Potential to grow with the project To Apply Share your GitHub profile and one example of open source work or a project that shows your Python and agent framework experience. https://github.com/ax-platform/ax-gateway

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.

We're building an AI health companion for women's health and need an experienced AI Architect for weekly consulting sessions (3-5 hours/week). What You'll Do Meet with our team 1-2x per week to review architecture and provide technical guidance Help optimize our AWS Strands/RAG integration for latency, cost, and scalability Advise on conversation management, context handling, and orchestration decisions Guide us through key technical tradeoffs as we move from prototype to production Our Stack Django backend, Flutter frontend, AWS Strands What We Need 5+ years with AI/ML in production, especially RAG/LLM integration and orchestration Experience with AWS Strands and Bedrock Track record with conversation AI architecture and scaling constraints Bonus: healthcare/HIPAA experience, startup advising, Django/Python knowledge Details 3-5 hours/week, flexible remote schedule Initial 3-month engagement Mix of live calls and async reviews

I need an expert senior software engineer that can provide consulting services around implementation best practices of LLM's and AI into existing application workflows. i.e. leveraging AI to extract data from a document as part of an ingestion pipeline.

I need a developer to build an AI visibility audit tool for destination marketing. The core logic is already defined and I have a full spec. I need someone who can build it clean and ship it. What the tool does: it queries ChatGPT, Gemini, Claude and Perplexity with a fixed set of real traveler questions, captures whether a destination shows up and where its competitors land, scores the result, and drafts a short report. Roughly 15+ questions, each run a few times per platform, with web search enabled. What I need built: The query engine across all three platforms, running on my own API keys Integration with my existing scorecard backend A gated flow: a personal emailed link that runs once per user, results delivered by email A saved-run database I can log into and review, so every run is stored from day one Built to be re-run on a schedule later (this becomes an ongoing monitoring product) Two non-negotiables: It runs entirely on my API accounts and keys. Billing and ownership sit with me. I own all code and IP outright. This is a defined, finish-and-ship project, not open-ended. I'll share the full spec with candidates who look like a fit. US-based candidates only. Skills LLM / OpenAI API, Gemini API, Perplexity API, API integration, Python (or your stack — tell me), backend development, database design, prompt engineering If interested, please respond with the following answers to be taken seriously: Describe a tool you've built that calls LLM APIs in production. What did it do and what was your specific role? How would you handle the fact that AI answers vary run to run? How do you make a score that holds up to scrutiny? What's your approach to keeping per-query API costs controlled at volume? Rough estimate on timeline and cost for a project scoped like this.

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.

We are seeking a highly experienced AI Solutions Architect / AI Agent Developer who has already built production-ready AI agents and can demonstrate previous work. The first engagement will be to provide a live demonstration of AI agents and discuss technical approaches for future client implementations. Successful candidates will become our preferred development partner for future AI projects.Required Experience You must have experience building AI agents using technologies such as: OpenAI APIs Anthropic Claude APIs Retrieval-Augmented Generation (RAG) LangChain or LangGraph Python n8n or Make.com Vector databases MCP (Model Context Protocol) integrations API integrations Microsoft 365 integration SharePoint integration Document automation OCR and PDF processing Database design Secure authentication and authorization Cloud deployment (Azure or AWS preferred)Preferred Experience Experience building AI solutions for: Law firms Construction companies Real estate Logistics and trucking Manufacturing Professional service firms Experience with document generation, contract review, client intake, workflow automation, dashboards, and internal knowledge assistants is highly desirable.Initial Engagement The first phase will include: A live demonstration of AI agents you have already built. Discussion of AI architecture and best practices. Review of our business model. Recommendations for building reusable AI frameworks for our clients. Technical planning for future projects.We value developers who: Think like business consultants, not just programmers. Communicate well with non-technical clients. Care about security and data privacy. Write clean, maintainable code. Can recommend the best technical approach rather than simply taking instructions. Are interested in building a long-term partnership.Please Include With Your Proposal A brief introduction about yourself. Links to AI projects you have built. A short video or live demo of an AI agent (preferred). Your favorite AI technology stack. Your availability. Your hourly rate. Your location and time zone. How many production AI agents you have successfully delivered. Why you believe you would be a good long-term partner.