We are seeking an AI Automation Implementation Expert to enhance our business processes. The ideal candidate will have experience in implementing AI solutions to improve efficiency and productivity. Responsibilities include analyzing current systems, identifying areas for automation, and implementing AI-driven solutions. The candidate should be able to work independently and provide insights on AI best practices.

Senior React Native Engineer – AI Integration Experience Required Overview We are looking for a Senior React Native Engineer with production AI integration experience to build an intelligent AI assistant into our existing iOS and Android application. Our application is already live. The user experience and AI chat interface have already been designed. Your responsibility is to build the AI functionality and integrate it seamlessly into our existing React Native application and Laravel backend. This is not a basic chatbot project. We are looking for someone with real experience building production AI applications using the OpenAI API, function/tool calling, and API integrations. Existing Technology Stack React Native Laravel MySQL Firebase AWS iOS Android Project Overview Users should be able to ask questions naturally, such as: "I'm struggling today." "Explain the Fifth Tradition." "Find a meeting tonight." "Find long-term sober living near me." "Find treatment within 20 miles." The assistant should intelligently determine how to answer each request. Sometimes it should respond directly. Sometimes it should search our internal database. Sometimes it should call external APIs. Sometimes it should combine multiple data sources into one response. Core Responsibilities Build and integrate: AI chat functionality OpenAI API integration Function / Tool Calling Conversation history Laravel AI backend Internal database search External API integrations Structured recommendation cards Production-ready implementation Resource Search When users request nearby resources, the AI should return structured recommendation cards containing: Facility Name Address Phone Number Website Each card should include: Call Directions Website APIs & Integrations Experience with the following is preferred: OpenAI API Function / Tool Calling REST APIs Laravel APIs Google Places API (or equivalent) Public API integrations Required Experience Senior React Native OpenAI API AI integrations Laravel REST APIs Production mobile applications Preferred Experience AI memory Prompt engineering Semantic search RAG Vector databases Deliverables The completed MVP should include: AI chat integration Backend AI service OpenAI integration Internal database search External API integrations Structured recommendation cards Conversation history Production-ready implementation Please Answer Have you built production AI applications using the OpenAI API? Please provide links to AI applications you personally built. Have you implemented OpenAI Function / Tool Calling? Have you integrated AI with existing databases? Describe the architecture you would recommend for this project. Walk us through exactly how your system would process the following request: "Find me a long-term sober living facility within 20 miles." Estimated timeline. Please provide a milestone-based fixed-price estimate. Important We are looking for someone who has built production AI applications, not someone who has only experimented with AI. A video interview is required before hiring. During the interview, you'll be expected to discuss your previous AI projects, explain your proposed architecture for this project, and answer technical questions about your implementation approach. Only applicants willing to participate in a video interview will be considered. This project has the potential to become a long-term relationship as we continue expanding our AI platform. Please begin your proposal with the word Recovery so we know you read the entire posting. Budget will depend on your proposed architecture, experience, and scope. We are looking for the best long-term solution—not necessarily the lowest bid.

We are looking for a highly skilled Full Stack Engineer who can go beyond development and act as a technical consultant for our clients. The ideal candidate should be comfortable communicating directly with clients, leading technical discussions, and eventually taking on a Project Manager role within our team. - Requirements Strong Full Stack Software Development experience Excellent verbal communication skills and confidence in client-facing calls Ability to provide technical guidance, project planning, and consulting Strong problem-solving skills and ownership mindset Comfortable working independently in a remote environment - Mandatory Conditions Must be available and responsive during U.S. business hours (EST/PST). This is not a full-time position initially, but timely communication is required. Must have a quiet home office, reliable high-speed internet connection, and a professional-quality headset. Must be comfortable participating in client meetings and technical discussions. - Growth Opportunity If you demonstrate strong performance and reliability during the first three months, we intend to transition you into a long-term paid position within our organization.

About Us We are a forward-thinking AI enterprise software company building governance solutions. Our systems combine Python engineering, Natural Language Processing, and Machine Learning to deliver secure governance solutions. We’re seeking a Back-End Python Engineer with expertise in AWS deployed applications, GITHUB CI/CD pipelines, DJANGO, ML Pipelines, Endpoint Integration, Sagemaker, containerization, Use of AI to design front end applications and debug code. Key Responsibilities Design, develop, and maintain back-end services in Python to support software application Debug Application for Quality and Assurance Build Data Connectors for Application Integration Implement new features with front end design as needed Containerize and deploy services across AWS infrastructure. Build and scale RESTful APIs and microservices (Django + DRF) that integrate into automated pipelines. Tune system performance (network, I/O, memory, GPU utilization) for optimization. Architect and maintain databases (SQL & NoSQL), ensuring query optimization, high availability, and caching (Redis). Integrate background processing (Celery) and real-time communication (WebSockets) into containerized environments. Collaborate with DevOps, front-end, and AI/ML teams to deliver end-to-end automated workflows. Apply best practices in system design (SOLID, DRY, KISS), Python standards (PEP8), and secure infrastructure deployment. Qualifications Core Skills Proficiency in Python (OOP, async, functional programming, data structures). Expert-level knowledge of AWS Infrastructure (deployment, operators, CI/CD, scaling). Strong background in containerization (Docker, Podman) and Kubernetes-native orchestration patterns. Experience supporting AI Dev automation workflows and integrating back-end services with automated pipelines. Deep knowledge of Django & DRF: ORM, serializers, view sets, permissions, HTTP methods. Advanced database design & optimization for high-throughput applications. Familiarity with Redis caching, Celery task queues, and uWSGI/ASGI communication layers. Solid testing skills (pytest/unittest) and CI/CD pipelines with Git. Preferred Expertise Hands-on experience with GPU-enabled workloads and hardware acceleration in containerized environments. Familiarity with infrastructure automation tools (Ansible, Terraform, or similar). Agile/Scrum team experience and use of task tracking (Jira, Trello). What We’re Looking For We want an engineer who: PRIORITIZES SECURITY OF SYSTEMS AND INFRASTRUCTURE ACROSS SECURITY FRAMEWORKS Builds automation-first systems that support AI Dev workflows from code to deployment. Thinks about performance and scalability at the infrastructure + software level. Collaborates across teams (DevOps, AI/ML, product) to deliver fully integrated, automated platforms.

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

DO NOT SEND AN AI GENERATED PROPOSAL. READ THROUGH THIS POST AND GIVE US YOUR HUMAN RESPONSE. Location: Remote Team size: Small (you’ll know everyone’s name) Stack: Java 21 / Guice / Gradle backend + React 19 / TanStack / MUI frontend **To apply** 1. Give us a few sentences for why you're a fit for the description below. 2. Include a Github/Gitlab/Gitea link to a recent PR you’re proud of (any language) 3. 5–10 minute Loom of you using Claude Code on a real task. **About the role** QAction is a large-scale Java enterprise document, records, and workflow platform — multi-project Gradle build, ~15 modules, customer-specific deployments (USDA, Ditco, Ascension, Mayo). The backend is being modernized behind an OpenAPI v2 surface (oasv2); the frontend is being rebuilt off GWT onto React 19 + TanStack Router/Query/Start with MUI v7. We need a developer who’s equally comfortable extending a v2 endpoint in a Guice-wired Java service as they are wiring up a TanStack Query call behind a Lexical editor or a virtualized data table — and who treats Claude Code as a peer on the keyboard, not a novelty. You’ll work directly with the product lead. No layers, no JIRA theater. Ship, review, iterate. **What you’ll do** Own vertical slices end-to-end: OpenAPI spec → Manager/ManagerImpl + EndpointImpl in QAction Java → React 19 / TanStack Query UI → JUnit + Playwright coverage. Extend the QAction Java backend: Guice (constructor injection only), Hazelcast-aware code paths, customer-deployment-aware module wiring, JUnit under oasv2. Build Modern UI features in the React 19 stack: TanStack Router/Query/Start, MUI v7 + Emotion, React Hook Form + Zod, Lexical, dnd-kit, OIDC auth (oidc-client-ts), TypeScript with the wrapper-component discipline already in place (Button, Icon, LabeledObject, ScrollShadows, etc. — never raw MUI in features). Move features off GWT onto the React 19 stack one slice at a time, without breaking the legacy app. Pair with Claude Code daily — write prompts that ship code, review agent diffs critically, and improve our skills/agents library when the workflow has friction. Keep integration tests honest: real DB + Solr + Keycloak at the seam, not mocks. Tech direction you’ll be living in **Backend** Java 21, Gradle multi-project (build single modules — ./gradlew QAction:build — never clean build) Guice DI, constructor injection, Manager/ManagerImpl naming (we don’t use “Service”) OpenAPI-first v2 endpoints in oasv2, canonical error model, paginated response classes as standalone beans in oasv2.beans Hazelcast clustering, Solr search, Postgres/MSSQL, Keycloak/OIDC FileNet integration, document import/migration tooling, RMT/remote services **Frontend** React 19 + TypeScript, Vite 7, TanStack Router + Query + Start + Table MUI v7 + Emotion, MUI X Date Pickers + Tree View Lexical (rich text), @dnd-kit + Atlaskit pragmatic-drag-and-drop, react-virtualized, react-pdf React Hook Form + Zod, oidc-client-ts + react-oidc-context, notistack, pino File naming kebab-case, @/ path imports, theme-first styling, wrapper components over raw MUI Adjacent surfaces in scopes over time **What we’re looking for** 8+ years shipping production app code across backend and frontend. You’ve owned services and UIs, not just one or the other. Java fluency — Guice or Spring DI, REST/OpenAPI design, JUnit. Bonus if you’ve worked in a 1M+ LOC enterprise Java codebase with customer-specific module deployments and didn’t flinch. Modern React fluency — React 18/19, TypeScript, TanStack Query (or React Query), a real opinion about effect dependency graphs, comfort with virtualized tables and rich-text editors. OpenAPI-first thinking. Specs are the source of truth, not documentation written after the fact. Claude Code power user. You write prompts that delegate well, you know when to use a subagent vs. inline, you’ve built or extended skills/hooks/MCP integrations. You can show us a recent session where Claude shipped something non-trivial under your direction. Small-team temperament. You’re allergic to ceremony. You read code before asking. You raise a small PR when it’s ready. **Nice to have** GWT (you won’t write new GWT, but you’ll need to read and migrate it). Workflow / BPMN, records management, e-signature, or ECM domain experience. Hazelcast, Solr, Keycloak operational familiarity. Lexical or another modern rich-text editor. Playwright (you’ll inherit a calibrated suite — we want you to improve it, not rewrite it). Docker compose stack bring-up across Postgres, MSSQL, Solr, Keycloak. Python services or Helm/Kubernetes deployment experience. **How we work** Small PRs. Every change ships through review. If it’s getting big, split it. Test-driven design. Tests come with the code, not after. JUnit on the Java side, Vitest + Playwright on the React side. Daily standups. 15 minutes, async-friendly, but we show up. Memory-backed Claude Code sessions — agents learn the codebase with you, not against you.

Seeking a highly-experienced software developer based in the US. The ideal candidate will have multiple skills with very strong experience 8+ years with PDP, Javascript, MySql, managing hosting servers, knowledge of Flutter and API development, experience using AI to assist in software development, must be an independent individual, not a firm. U.S. Based only. Individuals posing as being U.S. based please "do not" respond we will discover this. Responsibilities include developing, maintaining and advancing software applications, collaborating with cross-functional teams, and ensuring high-quality deliverables. Must be highly accessible by Telegram, email or phone/Zoom. Able to work independently and manage projects effectively. Strong ethics, integrity and character with an entrepreneurial attitude.

I am looking for a developer or agency to build a web platform called First Responder Academy. The goal is to create the most comprehensive AI-powered training platform for firefighters, EMTs, and paramedics. The platform will initially focus on: 1. Firefighter Oral Board Preparation 2. EMT NREMT Preparation 3. Paramedic NREMT Preparation 4. Firefighter I Certification Preparation 5. Firefighter II Certification Preparation Core Features Required: * User accounts and login system * Membership and subscription management * AI-powered training simulator * Progress tracking * User dashboard * Mobile-friendly design * Modern, professional interface * Ability to scale over time AI Training Features: The AI should be able to: * Conduct firefighter oral board interviews * Score responses * Provide detailed feedback * Generate EMT and paramedic scenarios * Generate Firefighter I and II questions * Create multiple-choice exams * Provide remediation and study recommendations * Increase or decrease difficulty based on performance Knowledge Base Features: The system should allow: * Uploading NREMT skill sheets * Uploading EMS protocols * Uploading Firefighter I and II standards * Uploading department-specific hiring packets * Uploading study guides and training documents The AI should reference uploaded materials when generating questions and grading answers. EMS Features: * EMT training mode * Paramedic training mode * NREMT-style testing * Practical scenario evaluations * Protocol-based learning * Trauma and medical assessment training * Airway management training * Cardiology training Cardiology Module: A major future feature will be ECG interpretation. Requirements: * ECG image library * Random ECG presentation * Student interpretation * AI grading and feedback * Rhythm recognition training * Treatment decision evaluation Firefighter Features: * Firefighter Oral Board Simulator * Firefighter I Exam Preparation * Firefighter II Exam Preparation * NFPA / IFSAC-based content * Scenario-based learning * Multiple-choice testing * Leadership and decision-making exercises Department-Specific Training: The platform should eventually allow users to: * Upload local EMS protocols * Upload department hiring packets * Upload mission statements and values * Receive customized training based on those documents Progress Tracking: The platform should track: * User scores * Weak areas * Practice history * Completion rates * Recommended study topics * Improvement over time Admin Features: * Upload and manage training content * Upload and manage protocol documents * Upload and manage ECG images * Create and edit question banks * View user analytics * Manage subscriptions Technology Preferences: * Modern scalable architecture * AI integration using OpenAI API * Secure user authentication * Cloud-hosted * Responsive design * Easy content management Design Style: * Professional * Modern * Clean * Fire and EMS themed * Dark mode preferred * Red, black, gray, and white color palette Important: I am looking to build an MVP first, not every feature immediately. Phase 1 priorities: 1. User accounts 2. AI training simulator 3. Oral board preparation 4. EMT preparation 5. Paramedic preparation 6. Firefighter I and II preparation 7. Progress tracking 8. Membership system Future phases can include ECG image testing, advanced protocol integration, department-specific customization, and additional first responder training programs. Please provide: * Estimated timeline * Estimated cost * Recommended technology stack * Examples of similar projects * Suggestions for MVP development

Join our family-owned janitorial supply distributor in Rahway, NJ, established in 1961. We are seeking an experienced developer to integrate Claude AI into our enterprise systems. The role involves developing custom solutions, ensuring seamless integration, and optimizing AI performance. Collaborate with our team to enhance our operations and customer experience.