We are seeking a Mid to Senior-level Fullstack Developer (3–5 years of experience) to not only maintain and expand our platform (Next.js frontend + Django backend) but also guide us in fully integrating AI-powered coding assistance across the full stack. The frontend is already set up for AI-assisted editing (e.g. Cursor), and we want to evolve our backend similarly. The ideal candidate will help us transition the entire development environment, so both we and the developer can leverage state-of-the-art AI coding tools. Beyond coding, you’ll act as a mentor, helping us better understand the backend’s architecture and workflows while integrating AI-driven development tools into our process. You’ll have a key role in making our stack both stable and future-ready, with AI-assisted flexibility. The Context Our frontend was recently ported to Next.js in an ad-hoc manner, leaving certain sections in need of refactoring and stabilization. We have committed to keeping our backend in Django to leverage its robust processing capabilities. You will be the point person for bridging these two environments. Key Responsibilities -Maintenance & Stability: Perform routine maintenance and optimization across the full stack. -Bug Fixing: Identify and resolve issues within the existing Next.js frontend and Django backend. -System Reliability: Provide technical support and troubleshooting during system downtime. -Feature Implementation: Build and deploy new features, ensuring seamless integration between the AI pipeline and the user interface. Required Technical Profile -3–5 years of professional fullstack experience. -Frontend: Proficiency in Next.js and React; experience cleaning up/refactoring "messy" or legacy codebases is a plus. -Backend: Strong experience with Django (Python), specifically working with complex data pipelines or API integrations. -Mindset: A pragmatic approach to coding—balancing the need for new features with the necessity of technical debt reduction.

We are seeking a Mid to Senior-level Fullstack Developer (3–5 years of experience) to not only maintain and expand our platform (Next.js frontend + Django backend) but also guide us in fully integrating AI-powered coding assistance across the full stack. The frontend is already set up for AI-assisted editing (e.g. Cursor), and we want to evolve our backend similarly. The ideal candidate will help us transition the entire development environment, so both we and the developer can leverage state-of-the-art AI coding tools. Beyond coding, you’ll act as a mentor, helping us better understand the backend’s architecture and workflows while integrating AI-driven development tools into our process. You’ll have a key role in making our stack both stable and future-ready, with AI-assisted flexibility. The Context Our frontend was recently ported to Next.js in an ad-hoc manner, leaving certain sections in need of refactoring and stabilization. We have committed to keeping our backend in Django to leverage its robust processing capabilities. You will be the point person for bridging these two environments. Key Responsibilities -Maintenance & Stability: Perform routine maintenance and optimization across the full stack. -Bug Fixing: Identify and resolve issues within the existing Next.js frontend and Django backend. -System Reliability: Provide technical support and troubleshooting during system downtime. -Feature Implementation: Build and deploy new features, ensuring seamless integration between the AI pipeline and the user interface. Required Technical Profile -3–5 years of professional fullstack experience. -Frontend: Proficiency in Next.js and React; experience cleaning up/refactoring "messy" or legacy codebases is a plus. -Backend: Strong experience with Django (Python), specifically working with complex data pipelines or API integrations. -Mindset: A pragmatic approach to coding—balancing the need for new features with the necessity of technical debt reduction.

We are building a production SaaS platform called MarketLens, designed for investment teams and analysts who need real-time market intelligence combined with AI-generated insights and portfolio tracking tools. What You’ll Do - Build and maintain the core backend services in Python (FastAPI / Django) - Develop frontend dashboards using React (TypeScript preferred) - Integrate real-time data pipelines (WebSockets, streaming APIs, or message queues) 1. Implement AI features such as: 2. Market summarization using LLMs 3. Portfolio risk explanations 4. Automated insight generation from time-series data - Design and maintain scalable APIs for analytics and user data - Work on subscription and billing logic (Stripe integration) - Improve system performance, especially around data freshness and dashboard latency - Participate in architecture decisions for scaling AI + data workloads Our clients are small to mid-sized hedge funds and financial advisory teams who currently rely on fragmented tools like Bloomberg exports, spreadsheets, and separate analytics dashboards. MarketLens aims to unify all of this into a single workflow.

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

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

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

Overview We are looking for an experienced Python developer with strong technical expertise and exceptional communication skills. This role is ideal for someone who is comfortable discussing technical concepts with clients, participating in interviews, and collaborating closely with stakeholders. We value developers who can not only write clean, scalable code but also clearly explain their thought process, ask the right questions, and represent our team professionally during client meetings and technical interviews. Responsibilities - Design, develop, and maintain Python applications and backend services. - Build and integrate APIs, databases, and third-party services. - Participate in technical discussions with clients and internal teams. - Attend interviews with excellent verbal communication. - Write clean, maintainable, and well-tested code. - Troubleshoot and optimize existing systems. Required Skills - 5+ years of professional Python development experience. Strong knowledge of: Python, FastAPI, Django, or Flask, REST APIs and microservices, PostgreSQL, MySQL, or MongoDB, AWS, Docker, and CI/CD practices - Experience with system design and scalable architectures. - Excellent English communication skills (written and spoken). - Comfortable participating in technical interviews and client-facing discussions. - Ability to explain technical concepts clearly to both technical and non-technical stakeholders. Nice to Have - Experience with cloud infrastructure and DevOps practices. - Experience with AI/ML integrations or data pipelines. - Previous consulting or agency experience. - Experience working with distributed remote teams.

Experienced Dev Ops from start to finish, We are seeking a skilled Python and React Developer Expert for Web Based Trading Application Platform to create a robust and user-friendly application for both web and mobile users. The ideal candidate will have experience in developing and launching apps from start to finish. Knowledge of stocks and options is necessary or trading experience is a MUST. If you do not know how to trade stocks or options, you will be required to take a strategy class (fee paid by the applicant freelancer) with founder owner, to learn how the trading strategy works, in-order to be hired. Deliverables • Ensure existing application functionality and performance as per founder owners requirements • Strategy is proprietary and is confidential for period of 30 years • All coding is live over anydesk each day, all coding sessions are recorded over zoom

We are seeking an experienced contract developer to design and build a custom Django-based invoice automation interface and processing workflow. The system should integrate with our existing CRM and accounting systems to streamline invoicing processes. The ideal candidate will have a strong background in Django and related technologies, and be able to deliver a scalable and efficient solution.

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.