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

Sphere Inc. is building a new AI-powered SaaS platform for the U.S. healthcare industry. We're looking for a senior engineer who enjoys building products from scratch, making technical decisions, and shipping production-quality software. This is an MVP that will quickly transition into production, so we're looking for someone who is comfortable owning architecture, development, deployment, and AI integration. We're developing a HIPAA-compliant Care Coordination Platform that helps physicians, nurses, and care coordinators manage chronic care patients more efficiently. A patient with diabetes and hypertension visits a primary care clinic. Instead of manually reviewing hundreds of pages of clinical notes, lab results, discharge summaries, and specialist referrals, the provider uploads the patient's records. The AI platform will: - Extract structured medical information from uploaded documents - Generate concise clinical summaries - Highlight medication conflicts and missing follow-ups - Detect abnormal lab trends - Recommend preventive care actions based on clinical guidelines - Generate visit notes and patient-friendly summaries - Allow physicians to approve, edit, or reject AI-generated recommendations - Maintain complete audit trails for HIPAA compliance The system must never expose PHI to unauthorized users and must meet healthcare security best practices. You'll work directly with our founders to design and build the MVP. Responsibilities include: - Design scalable backend architecture - Develop responsive React/Next.js frontend - Build secure REST APIs - Integrate OpenAI, Anthropic, or Azure OpenAI - Implement Retrieval-Augmented Generation (RAG) - Build document ingestion pipelines - Implement vector search - Build role-based access control - Design PostgreSQL database schema - Implement authentication and authorization - Deploy production infrastructure on AWS or Azure - Write automated tests - Optimize AI performance and costs Candidates should understand: - HIPAA Security Rule - PHI handling - Encryption at rest and in transit - Audit logging - Role-based permissions - Secure cloud architecture - Least-privilege access - Secrets management - BAA-aware cloud services Previous healthcare or medical SaaS experience is highly preferred. To Apply Please include the following in your proposal: - Links to recent AI SaaS or healthcare projects - Your GitHub profile - A brief description of your HIPAA or healthcare experience - 5–10 minute Loom video walkthrough of a HIPAA-compliant AI or SaaS project you personally built, highlighting the architecture, technical decisions, and your specific contributions.

Looking for a skilled full-stack developer to help build and refine an early-stage SaaS platform currently in MVP development. The platform combines guided workflows, AI-assisted functionality, user dashboards, and subscription-based features within a modern web application experience. We're looking for someone who can help transform an existing concept and partial prototype into a polished, scalable product. Ideal for developers interested in: SaaS platforms AI integrations Scalable web applications Subscription products Startup environments Responsibilities: Frontend and backend development Authentication and user dashboards Stripe/payment integration Database architecture API integrations Responsive UI/UX refinement Scalable application structure Deployment and production setup Preferred Stack: React / Next.js Node.js PostgreSQL Tailwind CSS Stripe REST APIs OpenAI or similar AI integrations Ideal Candidate: Strong full-stack development experience Experience building SaaS products Comfortable working independently Understands scalable architecture Good communication skills Startup mindset Bonus: Experience with AI-powered applications Experience with multilingual platforms Project Stage: Early-stage MVP Potential long-term collaboration Please send: Portfolio or GitHub Relevant projects Preferred stack Hourly rate or project estimate Availability

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 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

Expectations include setting up development, staging and production environments in AWS, creating and managing the CI/CD pipeline and support for front end development and integration with the API.

We have built a functional demo/prototype of a Leave of Absence Case Management Portal in Replit and are looking for an experienced SaaS developer to help us productionize and deploy it on AWS. The platform is designed for employers to manage employee leave requests, documentation, approvals, and case workflows. Current prototype includes: • Employee leave intake portal • Manager and HR dashboards • File upload capabilities • Leave status tracking • Intermittent leave reporting • Extensions and renewals • Employee data feed integration (HRIS file feeds) • Role-based workflows We need someone to: • Review the current Replit codebase and deployment files • Assess architecture for scalability and security • Rebuild/refactor where necessary for production readiness • Deploy to AWS (best architecture recommendations welcomed) • Set up authentication and user roles • Secure document storage • Configure database structure • Build audit trail/logging • Implement API integrations for HRIS file imports • Establish CI/CD pipeline • Advise on SaaS multi-tenant architecture for future clients Ideal experience: • SaaS application architecture • AWS (Lambda, RDS, S3, Cognito, API Gateway, ECS, or similar) • HIPAA/SOC2 compliant architecture preferred • Secure file handling/document storage • Workflow/case management systems • HR tech or leave management experience is a plus Please include examples of similar SaaS platforms you have built and explain your approach to taking a prototype to production.

We are looking for a skilled Full-Stack Developer with experience in AI and software engineering to support client communication and technical requirement gathering. In this role, you will be responsible for engaging directly with stakeholders through calls, understanding their technical and business needs, and accurately translating those requirements into clear, actionable documentation for the development team. The ideal candidate should have a strong technical background in full-stack development, AI systems, and modern software architecture, enabling them to ask the right questions, validate assumptions, and ensure that project requirements are correctly captured without ambiguity. You will act as a bridge between clients and engineering teams, ensuring smooth communication and reducing misunderstandings during project execution. Responsibilities include conducting requirement-gathering calls, clarifying technical specifications, documenting system needs, and collaborating closely with developers and product teams. Strong understanding of AI-driven systems, web technologies, and software development workflows is essential to perform effectively in this role. We are seeking someone who can combine technical expertise with clear communication skills, ensuring that complex requirements are translated into structured, developer-ready specifications that support successful project delivery.

I am building an online math practice platform for AMC/AIME styled questions. It is a database-driven question bank that allows students to generate unlimited custom practice quizzes and allows teachers to manage content and assignments. The platform will serve as a long-term repository for thousands of math competition problems written in LaTeX, including diagrams and solutions. MVP Features: Student Features Secure user accounts Generate unlimited custom quizzes Select one or more topics Select one or more difficulty levels Choose the number of questions Timed or untimed practice View solutions after completing quizzes Track progress and performance over time Teacher Features: Upload and manage problems Organize questions by topic, subtopic, and difficulty Create and assign homework Monitor student progress and quiz results Manage a growing question database Technical Requirements: Database capable of storing thousands of math problems Support for LaTeX (MathJax or KaTeX) Support for diagrams and images Powerful search and filtering Responsive web interface Clean, scalable architecture Preferred Qualifications: Strong full-stack web development experience Experience designing relational databases Experience building database-driven web applications Experience with React, Django, Flask, Node.js, or similar technologies Experience with PostgreSQL or MySQL Experience building quiz systems, educational software, or question bank platforms is highly preferred Familiarity with MathJax, KaTeX, or LaTeX rendering is a plus Please Include Links to similar web applications you have built Your recommended technology stack for this project Your experience designing scalable databases Examples of quiz systems, dashboards, LMSs, or educational software you've developed

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.