I’m looking for an experienced Python developer who can build an automated workflow that pulls government solicitations and filters them based on specific criteria, especially solicitations that have online pricing available. This role requires someone who understands web scraping, APIs, data parsing, and automation, ideally with someone who understands DIBBS, DLA, or other federal procurement portals. Scope of Work 1. Build Automated Solicitation Retrieval Create a Python script that automatically pulls new solicitations from: DIBBS / DLA Internet Bid Board System Allow filtering by: FSC/PSC codes Delivery Date posted 2. Identify Solicitations With Online Pricing Build logic to detect solicitations that: Include online pricing Include competitive historical pricing Include NSN‑level price history Include automated quote functionality Extract and store: Item description Part Number NSN Quantity Online price Cage Code Vendor pricing links 3. Data Output & Organization Deliver results in: CSV Excel Google Sheets Include fields such as: Solicitation number Agency Deadline NSN Online price Link to solicitation Link to pricing 4. Automation & Scheduling Set up automatic daily or hourly pulls 5. Documentation Provide clear instructions on: How to run the script How to update filters How to add new portals or pricing sources

What I Need Help With I have already set up my Raspberry Pi 5 and microscope camera. I am looking for someone to help implement the software pipeline for my project. Specifically, I need assistance with: Setting up and organizing the Python project structure. Use machine learning to be able to identify changes in morphology for each group over time (16 different experimental groups = 16 analysis folders to be compared to each other through ML) Building an automated workflow that processes microscope images using a custom-trained YOLO (Ultralytics) model. Running object detection on microscope images of Microcystis aeruginosa colonies. Extracting quantitative measurements from each detected colony, including colony count, area, equivalent diameter, circularity, and density. Automatically exporting all measurements into a CSV or Excel spreadsheet, with one row of data per image, and each piece of data being tracked based on which group it was taken from. Saving annotated images showing the YOLO detections for later review. Writing clean, modular, and well-documented Python code Troubleshooting any software or integration issues that arise during development.

About Us This position is for the second software engineer joining the ChartBriefs team. You will work directly with our lead engineer to learn the existing architecture, maintain and improve our production platform, troubleshoot and resolve customer and production issues, and help design and build the next generation of AI-powered features. This is a long-term role focused on becoming a core member of our engineering team as the product continues to grow. This individual needs to be available during North America Business Hours for trouble tickets, work and communicating with the team. ChartBriefs is an AI-powered SaaS platform that transforms thousands of pages of medical records into organized, searchable case summaries for physicians, attorneys, and medical experts. Our production platform combines OCR, LLMs, AWS cloud infrastructure, and a React frontend to process complex medical documents at scale. We are not building a prototype. We have a live product with paying users and are looking for a second senior engineer to help maintain, improve, and expand the platform. What You’ll Be Working On This is a hands-on engineering role across the full stack. Responsibilities include: * Maintaining and improving our production OCR and AI extraction pipeline * Building new product features * Debugging production issues across Python, AWS, PostgreSQL, and React * Improving extraction quality using prompt engineering and structured outputs * Optimizing LLM cost, latency, and throughput * Developing FastAPI endpoints and background workers * Improving application performance and scalability * Managing database design and migrations * Developing and improving the React frontend * Expanding automated testing and reliability * Assisting with migration toward a more serverless AWS architecture Required Experience We are looking for someone who has built and maintained production software, not just prototypes. Required experience includes: * Strong Python development * FastAPI * PostgreSQL * REST APIs * AWS * React and TypeScript * Production experience with LLM-powered applications, including Claude, OpenAI, Bedrock, or similar platforms * Experience debugging and maintaining production SaaS applications Nice to Have Experience with any of the following is a major plus: * OCR systems such as AWS Textract, Azure Document Intelligence, Tesseract, or similar tools * Medical records or healthcare software * Legal technology * PyMuPDF * PDF.js * Redis * Docker * Infrastructure as Code * Vector search or RAG systems What Success Looks Like Within your first 90 days, you should be able to: * Understand the existing architecture * Resolve production issues independently * Ship backend and frontend features * Improve extraction quality * Participate in architecture discussions * Help improve system reliability and scalability How We Work You will work closely with our lead engineer, who designed the existing platform. We use: * GitHub * Pull requests * Code reviews * Feature branches * Production deployments * Agile development This is intended to be a long-term engineering role, not a short freelance project. When Applying Please answer the following questions in your proposal: 1. Tell us about yourself. Briefly describe your background and what interests you about this role. 2. Describe a production AI or LLM application you have built or maintained. What technologies did you use, what was your role, and what technical challenges did you solve? 3. Describe your experience with our core technology stack. Specifically include your experience with Python, FastAPI, PostgreSQL, React and TypeScript, AWS, and LLMs such as Claude, OpenAI, or Bedrock. 4. Have you worked with OCR or large document-processing systems such as AWS Textract, Azure Document Intelligence, Tesseract, or similar tools? If so, describe the project and your responsibilities. 5. Have you maintained and improved an existing production SaaS application rather than building one from scratch? Please describe the production issues, new features, or infrastructure improvements you were responsible for. 6. Please provide links to your GitHub, portfolio, or other examples of relevant production work, if available. 7. What is your hourly rate, expected weekly availability, and typical working hours? Please also confirm that you can overlap with North American business hours.

We are looking for a highly capable AI consultant with a strong technical background in software development, AI-assisted workflows, and research. The ideal candidate is someone who understands modern AI tools, can quickly evaluate information for accuracy, and can help accelerate development, documentation, and decision-making across a variety of projects. * Utilize AI tools such as Claude, ChatGPT, and other leading platforms to support research, analysis, and development * Verify information, identify reliable sources, and distinguish between speculation and fact * Assist with software development, debugging, and technical problem-solving * Build scripts, automations, prototypes, and internal tools as needed * Help organize complex information and knowledge systems, including work within Obsidian * Translate ideas and concepts into actionable plans, technical documentation, and working solutions * Collaborate on a wide range of technical, operational, and strategic projects Qualifications * Strong software development experience * Proficiency with modern programming languages such as Python, JavaScript/TypeScript, or similar * Extensive experience using AI tools, including Claude, ChatGPT, Cursor, and related technologies * Ability to critically evaluate information and conduct high-quality research * Strong understanding of AI concepts, terminology, and emerging technologies * Excellent written and verbal communication skills * Comfortable working independently and navigating ambiguity

Project: web platform bringing together people business and capital Engagement: can be hourly or fixed‑price for MVP build, via Upwork Location: DFW area of Texas, US. Scope of Work (initial/brief): design technical architecture for a web app (front‑end, back‑end, database, basic admin tools). Implement core MVP features: user registration/login, profile creation and editing, search/filter UI, connection requests etc. Set up hosting/deployment, security best practices, and a structure that can scale to more users and features over time. Periodically provide documentation and a maintainable codebase that supports future iterations. Tech Stack (flexible): Front‑end: React, Vue, or similar modern JS framework. Back‑end: Node.js, Python (Django/FastAPI), or similar. Database: PostgreSQL or other relational DB. Hosting: AWS, GCP, Azure, or comparable cloud provider. Compensation & Requirements: business plan, monetization strategy, and legal structure will be shared once we have mutual interest and an NDA in place. Equity and partnership terms will be discussed after NDA is signed and subject to a separate written agreement.

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.

I am building an AI automation system for roofing companies and need an experienced developer to help build the first version. The system will help roofing companies: - Capture and qualify leads automatically - Follow up with missed calls/texts - Schedule appointments - Use AI chat/voice automation - Track leads in a simple dashboard/CRM I already have the business model and sales strategy. I need a developer who can help turn the idea into a working product. Requirements: - Experience with AI automation - Experience with APIs (OpenAI, Twilio, etc.) - Experience building web applications - Ability to create clean, scalable systems - Good communication Preferred skills: - React/Next.js - Node.js - Python - Database experience - AI agent development I am looking for someone who could potentially become a long-term development partner as this grows. Please include: 1. Examples of AI systems you have built 2. Your preferred tech stack 3. How you would approach building this system 4. Your estimated timeline

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.

Job Description: We are seeking an advanced development partner or agency to architect and deploy a secure, high-availability AI automation platform that bridges modern intelligent agents with our existing legacy infrastructure.The core of this project requires building autonomous AI agents and dynamic RAG (Retrieval-Augmented Generation) pipelines for semantic search, which must securely interface with our backend databases and legacy applications.You will lead the end-to-end development, from writing robust backend APIs and designing a responsive React JS frontend, to configuring the underlying Linux servers and automated CI/CD pipelines. Key Responsibilities: Build custom AI agents and chatbots using advanced LLM API integrations and Model Context Protocol (MCP) tooling.Develop custom web crawlers to securely ingest, index, and structure big data into high-availability databases.Modernize and migrate legacy software components (including Classic ASP, PHP, and Java) into a modern TypeScript and Node.js microservices architecture.Implement workflow automations via Zapier/Make and deeply integrate third-party systems like Salesforce, Odoo ERP, Twilio, and Stripe payments.Set up robust DevOps practices, including automated QA testing, Linux server hardening, and comprehensive monitoring/observability metrics. Required Skills & Tech Stack: AI & Automation: LLM APIs, RAG, Semantic Search, Voice/Transcription, Zapier, Make.com.Core Languages: Python, Node.js, TypeScript, PHP, Java, Classic ASP.Frontend/CMS: React JS, Modern JS Frameworks, WordPress.Data & Infrastructure: Big Data engineering, advanced web scraping, Linux/Mail server administration, VMware alternatives, CI/CD pipelines, Networking & Security.Integrations: Salesforce, Odoo, Twilio, Google Workspace APIs.Web3 (Plus): Solidity, Smart Contracts, Token operations. Project Scope & Deliverables: Size: Large-scale enterprise migration and AI upgrade.Deliverables: Fully deployed AI workflows, a modern user dashboard, migration of legacy core features, and documented DevOps infrastructure.Experience Level: Expert.Budget Strategy: Hourly or fixed-price milestone contract.

We are looking for a Back-End Developer to create secure backend platforms that enhance identity management systems, automate business workflows, and provide reliable infrastructure essential for organizational operations. In this crucial role, you will be responsible for designing and developing backend services that include key functions such as authentication and authorization mechanisms, comprehensive workflow orchestration, event processing, audit logging, secure data exchange, and ensuring the reliability of enterprise platforms. You will have the opportunity to translate complex and diverse business requirements into resilient backend services designed to facilitate secure collaboration among various departments. This role will involve ensuring compliance with all relevant regulatory standards while maintaining high performance and operational stability. The ideal candidate will have a deep understanding of distributed systems and will enjoy tackling the challenges of designing secure architectures. Additionally, you will be expected to develop backend platforms that support mission-critical enterprise applications, ensuring these systems operate smoothly under varying conditions. Your expertise will drive the creation of innovative solutions that not only meet immediate operational needs but also position the organization for future growth and scalability. If you are passionate about building robust backend services and committed to excellence in enterprise application development, we would love to hear from you. The qualifications required for this position are as follows: - Strong experience in developing enterprise-level backend applications using modern programming languages, such as Node.js, Java, C#, Python, or Go. - Experience in designing secure RESTful APIs and distributed backend services. - A solid understanding of authentication protocols, authorization models, and enterprise security principles. - Experience working with both relational and NoSQL databases. - Knowledge of asynchronous processing, message queues, and event-driven architectures. - Experience in building scalable applications that are deployed in cloud environments. - Familiarity with containerization technologies, such as Docker, and orchestration platforms, such as Kubernetes. - A strong understanding of software architecture, clean code principles, and backend design patterns. - Excellent analytical, debugging, and problem-solving skills.