Senior Full-Stack Engineer — Canvas Medical EHR Lead Contract · Monthly retainer · Remote (US-based) · Ongoing -= DONT APPLY IF =- Not physically present in USA you're an AGENCY. I need 1 person. no middleman Generalists and "I can pick up Rails" applicants will not be a fit. If we can't see your projects on github dating back years (temp) you're not serious. Anyone who's thinking of making someone else do the work, go away. No time for games. Summary I'm hiring a senior full-stack engineer to lead the build-out and launch of a longevity-medicine platform: B2B formulary ordering for licensed providers, plus a patient prescription and reorder portal, built on Canvas Medical (a programmable, ONC-certified EHR). The design and product logic are set. I need someone who configures the EHR, builds the integrations, finishes the frontend, ships it, and keeps it running. This is not a learn-on-the-job seat. It is a finisher seat. What you'll own Configure and extend Canvas Medical to the prescription, formulary, and patient-portal workflow by writing Python plugins on the Canvas SDK Integrate the platform over the Canvas FHIR (R4) API, including provider registration, ordering, billing, and the patient portal Finish and ship the product frontend and bind it to the API Handle deployment, uptime, and ongoing monthly support and iteration after launch Stack Python (Canvas SDK plugins run inside the EHR) Canvas FHIR R4 API (FastAPI-based); Django ORM for data access Frontend: finishing an existing web frontend and wiring it to the API Healthcare data handling under HIPAA Must have Senior-level Python. Non-negotiable. The SDK is Python. Hands-on FHIR / healthcare data integration. This is the differentiator and the first thing I screen for. Experience with Canvas Medical or a comparable EHR or health-data platform (Medplum, Redox, Health Gorilla, or similar) HIPAA and PHI handling experience. This is a live EHR with patient data, not a storefront. Frontend competence to finish a web app and connect it to a REST/FHIR API A track record of shipping. Links to live work, not a list of frameworks. Strong async communication and reliable follow-through Nice to have Direct Canvas SDK plugin experience (Events, Data, Effects) Prior digital-health, telehealth, or pharmacy-tech product work Experience taking a stalled or unfinished product across the finish line Engagement Contract, paid on a monthly retainer Remote, US-based for this lead role Long-term: build phase first, then ongoing support. I'm looking for a durable relationship, not a one-off. To apply In your reply, include: Links to things you've shipped, FHIR and EHR work prioritized One example of a project you took from stuck to done, and what you did? Whats your favorite car? Your monthly availability in hours? Thanks

We’re seeking a full-stack developer to help build a SaaS MVP using TypeScript and Next.js. The platform will center around a PostgreSQL-backed system with user authentication, role-based access control, asset tracking, inspection logging, and photo upload functionality. This is a data-driven product, so experience designing clean, scalable database structures and building reliable backend workflows is important. As part of the initial phase, we plan to launch a beta using Airtable to validate workflows and refine the data model before transitioning to a fully custom build. Experience working with Airtable or integrating it into early-stage products is a strong plus. We’re looking for someone who has solid experience with TypeScript and Next.js, can move efficiently, and is comfortable working on an evolving product. The goal is to have a functional MVP completed within the next three months. This isn't a hard deadline, if our goal is ambitious let us know and we can discuss.

Developer needed to launch a family organizer app (backend + accounts) Short version I’ve already built a working prototype of a family management app. It looks and behaves the way I want. What it can’t do yet is the “behind the scenes” part: save information in one shared place so every family member sees the same thing on their own phone, let each person log in, and send reminder notifications. I need a developer to build that part and get the app live so my family can actually use it on our phones. One thing that matters a lot to me, please read carefully: after you finish, I need to be able to keep changing and improving the app myself, working with an AI assistant — without having to hire or contact anyone again. So everything you build has to be handed over to me completely, written cleanly and simply, and explained well enough that an AI assistant can understand it and help me make future edits. No locked-down systems, no “only I can touch this” setups, no surprise dependencies. I own all of it. What the app is It’s a private organizer for my household (two parents, six kids). It has five sections: • Today — a daily summary for each person (their schedule, their tasks, family meal/afternoon plans). • Schedule — a weekly calendar: who’s driving which kid to which school, each parent’s work day and hours, kids’ activities, meal and afternoon plans. • Chores — daily and weekly tasks you can assign to specific people, and check off when done. • Lists — grocery and supply lists. • Tonight — an evening summary of chores that still aren’t finished. The look, layout, colors, and how everything behaves are already done. I’m not asking you to design anything. I’m asking you to make it real and shared. What I need you to build 1. One shared place to store our information (the part it’s missing most). Right now, anything I type only saves on the device I typed it on. My wife’s phone and the kids’ devices don’t see it. I need all our information kept in one shared online location so that when anyone makes a change, everyone else’s device updates too, within a few seconds. 2. A login for each family member. Simple and family-friendly: you open the app, tap your name from a list, and type a PIN. Once you’ve logged in on your own phone, it should keep you logged in so you don’t have to do it every time. Every person — both parents and all six kids — gets their own login. Parents can edit everything; kids mainly see their own stuff and check off their own chores. The app already has a built-in “who’s using this” concept; your login system just needs to drive it for real. 3. Notifications to people’s phones. • Every morning, each person gets a notification with their summary for the day. • Every evening at 8:00 PM, each person gets a reminder of any chores they haven’t finished that day. The app already knows exactly what each of those messages should say — I just need them actually delivered to phones on schedule. 4. Shared photo proof for kids’ chores. When a kid marks a chore done, the app already makes them take a photo as proof. Right now that photo is stuck on the kid’s device. I need those photos saved in our shared location so my wife and I can see them from our own phones. What “done” looks like • My family can install or open the app on our phones and each log in with our name and PIN. • A change one person makes shows up on everyone else’s device. • Morning summaries and 8:00 PM chore reminders arrive as phone notifications. • Kids’ chore photos are visible to the parents on their own devices. • It runs reliably without me needing to babysit it. Very important: I need to be able to maintain it myself afterward I work on this app with an AI assistant, and I plan to keep improving it that way for a long time. So I’m asking that you: • Hand over everything — all the code, all the accounts and passwords, all the settings — in my name, owned by me. Nothing stays under your account. • Write it cleanly and simply. Please don’t over-complicate it or add tools and layers that aren’t truly needed. The simpler and more standard it is, the easier it is for me and an AI assistant to understand and change later. • Comment and document it in plain terms: what each part does, where things live, and how to make common changes (like adding a person, changing a notification time, or adjusting a list). • Write a short “how it works” guide for a non-developer — how to find things, how to change them safely, and how to undo a mistake. • Avoid lock-in. Use widely used, well-known building blocks (the kind an AI assistant will already understand), not anything obscure or proprietary that only you would know how to maintain. • Do a handoff call or video walking me through it so I’m comfortable taking it from there. If anything about how it’s built would make it hard for me to edit later on my own, please tell me up front. To apply, please tell me • A short note, in plain English, on how you’d approach this — especially how you’ll keep it simple and easy for me to maintain myself afterward. • Whether you’d build it so it works on iPhones and Android (and whether that’s a website-style app or an installable app — explain the trade-offs simply). • A rough estimate of cost and timeline. • One or two examples of similar things you’ve built. A few notes • This is a private app for my family only — not something I’m selling. It doesn’t need to handle thousands of users, just the eight of us. • Privacy matters: it includes my kids’ photos and our daily whereabouts, so it needs to be kept private and secure. • I already have the full working front end (the part you see and tap). I’ll share it with the right person. You’re building the engine behind it and getting it onto our phones.

We are building a semiconductor manufacturing intelligence platform designed to help engineers rapidly identify yield excursions, investigate root causes, and capture institutional process knowledge. A working foundation already exists, including yield dashboards, lot tracking, process-route visualization, maintenance-event correlation, and investigation timelines. We are now looking for a highly capable developer to extend and refine the system into a production-grade engineering decision-support tool. This is not a basic dashboard project. The goal is to enhance an existing platform into a system that connects manufacturing data, equipment history, and engineering knowledge with lightweight AI-assisted analysis. Key Objectives Help engineers answer questions such as: * Why did yield drop? * What changed before the excursion started? * Which tools or chambers are most likely responsible? * Have we seen a similar issue before? * What corrective actions worked previously? Scope of Work Investigation Workspace * Improve investigation timelines * Correlate process events, SPC/FDC signals, maintenance activity, and yield changes * Enhance interactive debugging workflow Historical Excursion Search * Simple similarity matching using rules or embeddings/API-based methods * Retrieve past investigations and outcomes Engineering Knowledge Layer * Searchable notes, documents, and reports * Store corrective actions and process changes AI-Assisted Summaries (lightweight) * Generate investigation summaries using an LLM API * Suggest possible contributing factors based on available data Ideal Candidate * Strong full-stack or data engineering experience * Comfortable working with existing codebases * Experience with analytics dashboards or industrial systems * Familiarity with APIs, databases, and data modeling * Bonus: exposure to manufacturing or semiconductor data Notes * This is an extension of an existing platform, not a rebuild * Focus is on practical implementation rather than complex architecture * Speed and execution matter more than theoretical design * Potential for ongoing work if collaboration goes well

We're building a data-driven platform in the beauty/cosmetics space. We've already collected a very large volume of scraped product and brand data, and it's messy - inconsistent formats, duplicates, missing fields, mixed languages, and unreliable values. Your job is to turn that raw data into something clean and reliable, and to build the web application on top of it. This is not a quick gig. We're looking for someone to stay with us for roughly a year and grow with the product. What you'll be doing Building and maintaining a Next.js (App Router) front end and back end Designing and managing our Supabase setup (Postgres schema, RLS policies, auth, storage, edge functions) Cleaning, normalizing, and deduplicating large beauty datasets (this is a major part of the role) Building data pipelines to process and validate incoming scraped data Writing transformation/normalization logic (units, brand names, categories, ingredients, pricing, etc.) Setting up data-quality checks and monitoring Iterating on features with us as the product evolves You should have Strong production experience with Next.js and Supabase (please point to specific projects) Solid SQL/Postgres skills - not just ORMs Real experience cleaning and normalizing large, messy datasets (Python/pandas or similar is a plus) Comfort working with scraped data and all the inconsistencies it brings Good written English and reliable communication Ability to work independently and own your part of the product Nice to have Experience in e-commerce, catalog, or product-data projects Familiarity with data pipelines / ETL tooling Some ML/NLP experience for entity matching or text cleanup Budget We expect this to run around $4,000–$5,000 USD per month depending on experience and hours. This is a long-term commitment, so stability and quality matter more to us than the lowest rate. To apply, please include: Similar past work - links or short descriptions of Next.js + Supabase projects, and at least one data-cleaning/normalization project you've done. Your time zone and your typical available hours - we need to know there's reasonable overlap. Your expected monthly budget within the range above (or your rate if hourly). Applications that don't address all three points will not be considered. A short note on how you'd approach cleaning messy beauty product data is a big plus. We read every proposal carefully and respond quickly to strong candidates. Looking forward to working with you.

one qudio talk a live audio talk application where talk volume is set based upon content of conversation, thus if your talking about cats other users talking about cats will be heard loudest where everyone is on same audio channel this seperates content into what is most audible by result users per their content can talk clearly to others based upon their own content all other talk is at a lower volume where can be accessed based upon you varying your conversation to that topic thus the volume is then then higher on that content with your previous content on a medium volume users can easily have multiple conversations and enjoy talking to many people i would also like to have a reactive to audio motion graphic for the website that is the total extent of the UI similar to this shown where each user has a unique channel in the circle

We are seeking an experienced developer to build a Next.js web application with custom AI integration. The ideal candidate will have a strong background in front-end development and AI technologies. Responsibilities include designing and implementing the application's architecture, integrating AI features, and ensuring a seamless user experience. The project requires collaboration with our team to deliver a high-quality solution.

We are building a custom internal platform for our travel advisor network. This is not a website or a Webflow project. This is a production-grade full-stack application built in Next.js and TypeScript with MongoDB Atlas as the primary database and Airtable as the CRM and operations layer. The platform includes a role-based advisor dashboard, a super admin dashboard, a custom booking submission form, commission tracking and tier logic, five admin report types with CSV exports, secure invoice file storage, transactional email workflows, and integrations with Airtable, Webflow CMS, Mailgun, Cloudinary, and a private object storage service such as AWS S3 or Cloudflare R2. We have a detailed internal technical proposal covering architecture, phased delivery plan, data models, role and permission structure, milestone definitions, and cost modeling. You will receive the full document before any engagement begins. This is a fixed price milestone based engagement across five phases over approximately eight weeks. All source code, accounts, and assets are owned by Xullu throughout the project. Do not apply with a generic proposal. Your application must include a live production Next.js application you have built, your approach to Airtable API caching for high volume reporting, your approach to secure financial document storage with server side access control, and your fixed price broken down by milestone. Budget range is $10,000 to $14,000. We are not looking for the lowest rate. We are looking for the most qualified.

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 

Website audit and bug fix. Integrations to: Yoti, Twilio, Vultr, Wasabi, MassPay, and PaymentCloud.