Senior Full Stack Developer — AI Platform Hardening (Trial-to-Hire) HillDave Labs builds an AI-driven platform for ad content and media buying, backed by 30 years of Fortune 500 production experience (Coca-Cola, PepsiCo, Microsoft, Disney). We're a lean, founder-led team of two heading toward a self-serve platform for brands and agencies. The platform works today but is fragile in places. We need a senior engineer to take ownership, fix what's brittle, and bring real engineering rigor before we open it to self-serve users at scale. Starts as contract work with a path to full-time once we see strong fit. What you'll do: Audit the codebase and fix the highest-risk fragility Harden core modules for reliable multi-user use Own architecture as we shift toward a self-serve product Work directly with founders, no layers What we need: Senior full stack experience, front-end to database Proven record stabilizing existing codebases Strong communicator US time zone, fluent English, real-time availability Comfortable with startup ambiguity and pace Engagement: 25-30 hrs/week, $85-95/hr, 8-12 week trial. Strong fit leads to full-time with salary, equity, and benefits. To apply: describe a time you inherited a messy codebase and made it trustworthy. What did you prioritize? Include your time zone and rate.

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 are seeking a technology professional—ideally a business owner, consultant, founder, technical leader, or team manager—to mentor a group of high school students as they work on a real project for your business. Students will spend four weeks tackling a business challenge, initiative, or project that you'd like completed but haven't had the bandwidth to prioritize. The goal is to provide your organization with fresh perspectives, research, analysis, and actionable recommendations while giving students exposure to real-world technology and innovation challenges. This is a low-lift opportunity designed for busy professionals. The Work-Based Learning Alliance (WBLA) manages the entire student experience, including project scoping, internship structure, meeting agendas, milestones, student support, and stipend payment. Your role is simply to share your expertise, meet with students for one hour each Monday via Zoom (between either 9:30am–12:30pm ET or 3:30pm–6:30pm ET), and provide feedback on weekly deliverables. Total time commitment is approximately 2–3 hours per week over four weeks commencing June 29. Professionals who are excited to develop future talent while receiving meaningful insights and deliverables for their business are encouraged to apply. Projects could include: -AI tool evaluation and implementation research -Market research and competitive analysis for software, technology, or digital products -Product feature analysis and solution design -Process improvement and workflow automation opportunities -Technology trend research and emerging technology assessments -Marketing, technical documentation, or product positioning assets Key skills include: -Knowledge of technology, software, IT, AI, cybersecurity, data, or digital products -Ability to mentor and provide constructive feedback -Strong communication and interpersonal skills -Experience leading technical projects, teams, products, or business initiatives

Description We are building a startup almost entirely in v0 by Vercel, and I'd like to hire an experienced v0 user for a one-hour Zoom consultation. This is not a coding project. I'm looking for someone who understands how professional teams organize and manage v0 projects and can teach me best practices. We'll share screens and walk through my current setup. Topics I'd like to cover Overall v0 architecture Projects vs Chats Repositories GitHub integration Team permissions Workspaces Sharing projects with outside contractors Security best practices Version control Organizing multiple companies inside v0 Naming conventions Branching and deployment workflow How designers and developers should collaborate Recommended workflow from idea → design → production Common mistakes to avoid At the end of the session I'd like to leave with: A recommended structure for my workspace A clean folder/project organization Security recommendations Permission recommendations for team members Best practices document (bullet points are fine) Requirements You should: Have extensive experience using v0 Have built multiple production projects Understand GitHub integration Understand team permissions and collaboration Be comfortable teaching and answering questions Speak fluent English Bonus if you've used: Vercel GitHub Supabase AI coding tools (Claude, Cursor, Lovable, Bolt) Engagement One-hour Zoom call Screen sharing Fixed budget: $150 If things go well, this may lead to additional consulting work as we continue building our platform.

Title: Claude AI Trainer & Automation Expert for Executive Teams We are looking for an exceptional Claude AI expert, trainer, and automation consultant to work directly with our team. This is not a development role. We need someone who can teach, coach, and help teams become dramatically more productive using Claude. You will work with small groups of 5–7 people, running live training sessions and helping participants identify opportunities to automate workflows, improve decision-making, accelerate research, create content, and build AI-powered processes. The ideal candidate is both highly technical and an outstanding communicator who can explain complex concepts to non-technical professionals. Responsibilities: * Conduct live Claude training sessions for small groups * Teach advanced prompting techniques * Help teams automate repetitive business tasks * Identify high-ROI AI use cases across departments * Build practical Claude workflows and templates * Create training materials and playbooks * Provide ongoing coaching and office hours * Stay current with the latest Claude capabilities and AI tools Requirements: * Deep expertise with Claude and AI workflows * Exceptional communication and teaching skills * Experience training business professionals and executives * Strong understanding of business operations and process automation * Ability to simplify complex concepts * Experience creating AI-driven productivity systems * Comfortable leading interactive workshops and Q&A sessions When applying, please answer: 1. How long have you been using Claude professionally? 2. What organizations or teams have you trained? 3. What are the most valuable Claude automations you have implemented? 4. Describe a training program you designed and delivered. 5. How would you structure a 4-week Claude training program for a team? 6. Please provide links to videos, workshops, presentations, or training materials you have created. 7. What differentiates you from other AI trainers? 8. What is your hourly rate and availability? We are looking for someone who can become a trusted advisor to our organization and help our teams successfully adopt AI at scale.

We're looking for professionals who use documents, sheets, and presentations (such as Microsoft 365 or Google Workspace) to give us feedback on River AI (rivereditor.com) - a new AI workspace for iterating on business documents faster. River allows you to upload your files, and then make precise edits to your documents (with the full context of the project you're working on). We're looking for professionals across the board - from legal writers to marketing bloggers.

Eligibility: This role is open to U.S. citizens only due to client security and compliance requirements. Please apply through this posting only — do not contact Data-Sleek directly regarding this position. Applications received outside this channel will not be considered and reported to Upwork. Data-Sleek is looking for a Senior AI Solutions Engineer to lead our on-premise and government-cloud AI deployments. You will design, build, and deploy AI-powered data pipelines for clients who cannot use commercial cloud due to ITAR, CMMC, or other data residency constraints, beginning with a client in the aerospace and defense sector. Beyond this first engagement, you will become Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients, building the practice rather than just executing a single project. About Data-Sleek Founded in 2020, Data‑Sleek® is a U.S.-based AI and data consulting firm that helps mid-market companies build the data foundation that AI actually runs on. We own the full path — data strategy, architecture, integration, warehousing, and AI implementation — so organizations can adopt AI with confidence, stay compliant, and scale, without first hiring an internal data team. Our distributed U.S. team (San Francisco, Los Angeles, Irvine, Dallas, Chicago, and New York) partners with clients across healthcare, finance, insurance, logistics, and technology, modernizing data platforms with best-in-class tools like Snowflake, dbt, Fivetran, Tableau, and AWS. Trusted by Fortune 500 institutions and growing companies alike, Data‑Sleek turns complex data into measurable outcomes — faster insight, lower cost, and AI projects that deliver. About the Role You will own the technical delivery of AI-powered data pipelines in restricted environments where commercial cloud is not an option. The immediate engagement centers on a Product Lifecycle Management (PLM) data migration: building a pipeline that connects to a client's SharePoint on a restricted Microsoft 365 government tenant, reads engineering documents, classifies and summarizes them, detects duplicates, and rates naming-convention compliance to produce a migration-readiness report. You will start on-premise, then help the client evaluate and move to government cloud for production. Key Responsibilities AI Pipeline Development Build AI pipelines that connect to a client's SharePoint on a government cloud tenant, read engineering documents, classify them by type, generate summaries, detect duplicates, and rate naming-convention compliance in support of PLM data migration. Catalog large document repositories and produce migration-readiness reports and Excel catalogs that give clients a clear, measurable picture of their data. Engineer document-parsing workflows across DOCX, PDF, and XLSX formats, including embedding generation and database operations. On-Premise & Government Cloud Deployment Deploy on-premise first — a Mac Mini running Gemma via Ollama — standing up, serving, and tuning local inference infrastructure. Evaluate and migrate to production on Azure OpenAI (Azure Government) or AWS Bedrock (GovCloud) when the client is ready to scale. Keep deployments compliant within ITAR-sensitive, restricted-network boundaries throughout. Architecture & Cost Advisory Produce cost models and architecture recommendations that help client IT teams make informed platform decisions based on measured data, not vendor pitches. Compare deployment options — local, Azure Government, and AWS GovCloud — on cost, performance, and compliance, and explain the trade-offs clearly. Practice Building & Delivery Serve as Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients. Build a reusable capability — a repeatable AI-solutions practice — rather than executing a single one-off project. What You Bring Required U.S. Citizen: U.S. citizenship is required and non-negotiable due to ITAR and client security and compliance requirements. Production LLM deployment: You have stood up inference infrastructure — not just called an API. You've handled model loading, memory constraints, failure modes, and throughput tuning in a real deployment. Local inference: Ollama, vLLM, llama.cpp, LM Studio, or TGI. You've served open-source models (Gemma, Llama, Mistral) on local hardware. Cloud AI platforms: Azure OpenAI or AWS Bedrock — at least one. Service configuration, model access, authentication, and token-based pricing. Python: Pipeline engineering — document parsing (DOCX, PDF, XLSX), API integrations, embedding generation, and database operations (SQLite, Postgres). Experience: 5+ years post-degree in software engineering, data engineering, or ML engineering. Strong Preferences Microsoft ecosystem: Entra ID, Microsoft Graph API, and SharePoint REST API at the API level. GCC High experience is a bonus. MCP (Model Context Protocol): Experience building or consuming MCP servers — a significant plus for a fast-evolving protocol. Workflow orchestration: n8n, Temporal, Airflow, or similar. The pipeline is orchestrated, not scripted. Government cloud awareness: Understanding of what FedRAMP High, IL4/IL5, and ITAR mean for cloud architecture decisions. Embeddings & vector similarity: sentence-transformers, pgvector, Qdrant, or FAISS for duplicate detection. 
Bonus (valued if present) Aerospace or defense experience: Familiarity with ECOs, BOMs, and AS9100 saves ramp time. Apple Silicon optimization: MLX, Metal acceleration, and Ollama tuning on M-series chips. Agentic frameworks: Bedrock AgentCore or Azure AI Foundry — the future direction involves agentic AI workflows on government cloud. What This Role Is Not Model training or fine-tuning. This is deployment engineering, not research. Data science or statistical modeling. The AI here is document understanding and classification, not predictive analytics. Frontend development. The deliverable is an Excel catalog and a report, not a web app. Sales or client acquisition. Data-Sleek's leadership manages the client relationship; you focus on delivery. Engagement & Compensation Remote, US-based. Occasional on-site travel to client facilities for hardware deployment and workshops may be needed. An average of 2–3 trips for the first engagement may be possible. Compensation. $40-$55/hour Why Join Data-Sleek? At Data-Sleek, you'll lead AI deployments in environments most engineers never touch — government cloud and on-premise systems where commercial tools simply aren't an option. Your work will directly shape how defense and aerospace clients adopt AI, and you'll build a reusable capability the company grows around. We focus on doing the right thing architecturally rather than selling the most expensive option, and we give our engineers the autonomy to deliver real solutions for real constraints. How to Apply If you've shipped real LLM deployments with real constraints, we'd like to hear from you. Please submit: Your resume A brief note describing one LLM deployment you've shipped — what model, what infrastructure, what data source, and what went wrong. Data-Sleek® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all contractors.

We're looking for a creative AI video producer to create humorous, cinematic commercials for a self-storage company with multiple locations. This is not a simple video editing job. We're looking for someone who understands visual storytelling, continuity, and comedic timing using AI-generated assets. PROJECT Create 15-30 second commercials that combine: - AI-generated images and short video clips - Real facility photography - Professional editing - Voiceover - Music - Motion graphics - End cards and branding The goal is for the final product to feel like a local TV commercial or Hulu/CTV ad, not a collection of random AI clips. STYLE Think: - Progressive Insurance - GEICO - Subaru - Apple - Dry, observational humor - Mockumentary / documentary parody - Cinematic but relatable - Required Skills - OpenArt, Midjourney, or Flux image generation - Runway Gen-4, Kling, Veo, or similar image-to-video tools - CapCut Pro - Adobe Premiere Pro or DaVinci Resolve (preferred) - Strong storytelling and pacing - Color correction - Motion graphics - Audio mixing WHAT WE NEED The freelancer will: - Develop shot lists from our scripts - Generate consistent AI characters and environments - Maintain continuity across scenes - Animate still images into short cinematic clips - Integrate our real facility photography - Add voiceover, captions, music, and sound effects - Deliver polished commercials ready for Facebook, Instagram, YouTube, Connected TV (CTV), and digital advertising Deliverables - 15-second version - 30-second version - Horizontal (16:9) - Vertical (9:16) Project files - Individual AI assets used - Final exported MP4s

We are seeking an experienced Automation & Integration Engineer to modernize and automate our CPA firm's operations. This role will be responsible for designing, building, and maintaining AI-driven workflows and integrations centered around CCH Axcess, Additive K-1, Microsoft 365, and other business systems. The ideal candidate combines software development, API integration, workflow automation, and AI implementation experience with deep knowledge of tax and accounting technology. This is a hands-on technical position. You will build production-grade automations, not just configure software. Responsibilities Design and develop integrations between CCH Axcess, Additive K-1, CRM, document management systems, and internal databases. Build AI-powered workflows to automate tax preparation, review, document processing, and client communication. Develop API integrations using the CCH Axcess Open Integration Platform. Automate repetitive tax workflows using APIs, webhooks, scripting, and workflow platforms. Create secure data synchronization between business applications. Build custom internal applications that improve CPA productivity. Implement OCR and AI document extraction for tax source documents. Build dashboards and reporting from tax software data. Create automation monitoring, logging, and alerting. Document all integrations and maintain technical architecture. Work directly with tax professionals to identify automation opportunities. Evaluate emerging AI tools and recommend practical implementations. Required Experience 5+ years building software integrations or business automations. Strong experience with: CCH Axcess CCH Axcess APIs REST APIs OAuth Webhooks JSON/XML Experience integrating accounting or tax software. Experience with AI APIs such as: OpenAI Anthropic Google Gemini Azure OpenAI Experience with automation platforms such as: n8n Power Automate Make Zapier Strong programming skills in one or more: Python C# JavaScript/TypeScript SQL database experience. Microsoft 365 integration experience. Git version control. Cloud experience (Azure or AWS). Preferred Qualifications Additive K-1 experience. CCH API development. CPA firm experience. Tax workflow automation. OCR and intelligent document processing. Experience with AI agents. Experience with document management systems. Power BI. SharePoint. Azure Functions or AWS Lambda. Docker. Technical Skills API Development REST OAuth JSON XML Python JavaScript SQL AI Integration Prompt Engineering Workflow Automation Microsoft Graph API SharePoint APIs Microsoft 365 Administration OCR RAG LLM Integration Git CI/CD What You'll Build Examples include: Automated K-1 ingestion into CCH. AI document classification and extraction. Tax return workflow automation. Client onboarding automation. Automated tax organizer processing. AI review assistants. Internal tax knowledge search. Automated email and task generation. Client portal integrations. Document routing. Workflow dashboards. Exception monitoring and alerts. Success Metrics Within the first 6–12 months, you will: Eliminate hundreds of hours of manual tax processing. Reduce duplicate data entry across systems. Build production-ready AI workflows. Create reusable integration frameworks. Improve tax workflow visibility through reporting and dashboards. Establish a scalable automation architecture for future growth. Nice-to-Have Certifications Microsoft Azure AI Engineer Microsoft Power Platform Developer AWS Developer Python certifications AI/LLM application development CPA technology consulting experience Ideal Background Candidates who have worked at firms or software vendors using: CCH Axcess Additive K-1 Thomson Reuters products Intuit products Wolters Kluwer tax software Tax technology consulting firms CPA firms with 100+ employees Tax automation consultancies

Hello, I'm looking for an experienced automation engineer or systems integrator to build a cloud-based automated messaging system for our restaurant operations. We operate 10 restaurant locations with approximately 40 Motorola TLK 25 radios using WAVE PTX. The goal is to use Radio.co to schedule already created operational voice mp3 reminders (opening procedures, food safety checks, labor reviews, closing tasks, etc.) and automatically broadcast those messages to designated WAVE PTX talk groups. The proposed solution would utilize: * Radio.co for scheduling and audio content * Azure Windows VM as a dedicated cloud-hosted dispatch workstation * WAVE PTX Dispatch for radio communications * Virtual audio routing and PTT automation to transmit scheduled messages to Motorola TLK 25 devices We're looking for someone who can design, deploy, test, and document the complete solution, including Azure configuration, audio routing, automation, monitoring, and scalability for future growth. If you have experience with cloud infrastructure, automation, streaming audio, dispatch systems, or Motorola WAVE PTX, please let me know how you would approach this project. We have a clear vision and proposed architecture for this project and are looking for a skilled developer to help execute, validate, and deploy it. The objective is to create a cloud-based automated messaging system that uses Radio.co for scheduled voice reminders and broadcasts those messages to Motorola TLK 25 radios through WAVE PTX Dispatch. We anticipate utilizing an Azure Windows VM, virtual audio routing, and automated Push-to-Talk activation to create a reliable, scalable solution for restaurant operations. At this stage, we need a technical expert who can review our proposed workflow, identify any improvements or challenges, and then build, test, document, and deploy the solution. The ideal candidate has experience with cloud infrastructure, automation, audio streaming, browser automation, dispatch systems, or Motorola WAVE PTX. We value practical execution and problem-solving and are looking for someone who can take an existing concept and turn it into a production-ready system.