Looking for general help building out a platform for an AI saas.

About the Business I own Meet U @ The Net, an established beach volleyball league in Southern California. Website: https://meetuatthe.net The league currently runs multiple seasons per year, has strong player retention, and regularly reaches registration capacity. I am looking for a developer or small team to help modernize the business systems while providing documentation and knowledge transfer so I can eventually manage and improve the platform myself. This is not a one-time project. I intend to build the platform in phases over multiple seasons. Phase 1 Goals CRM Foundation Current data exists across: Excel Airtable Google Sheets The goal is to consolidate historical league data into a single CRM/database. Examples: Players Teams Seasons Registrations Waitlists Payments Participation history Website Rebuild Build a modern website focused on: Registrations League information Schedules Standings FAQ Mobile responsiveness SEO foundation AEO foundation Registration System Support: Individual registrations Team registrations Waitlists Coupon codes Discount codes Payment tracking Waiver System Requirements: Team captains can register teams Individual players must create their own profile Individual players must sign their own waiver Waiver tracking and status management Knowledge Transfer (Required) I do not want a black-box system. I want: Written documentation Loom walkthrough videos Live walkthrough sessions Ability to ask questions after launch The goal is to learn how the system works while it is being built. Future Phases (Not Part of Phase 1) Future projects may include: Scheduling tools Referee score entry portal Automatic standings Sponsorship CRM AI features Mobile applications The initial focus is building a strong foundation. Preferred Technologies Open to recommendations. Currently interested in: Next.js Supabase OpenAI GitHub Budget Approximately: $5,000 – $7,000 for Phase 1 Future phases expected if Phase 1 is successful. Looking For Full-stack developer or small team CRM/database experience SaaS experience Strong communication Documentation-focused Comfortable working with non-technical founders Please send: Relevant projects Technologies used Availability Pricing model Examples of documentation or client training

I need a full-stack developer to build a simple AI-powered chat assistant. The app should allow users to type a question and receive a response from the ChatGPT API. The UI should be clean, responsive, and built with React and TypeScript. Main Requirements: - Build a simple React + TypeScript frontend - Add a chat input and response area - Connect the app to the ChatGPT/OpenAI API - Show loading state while the AI is responding - Handle basic API errors - Keep the code clean and easy to understand - Provide short setup instructions in a README file

AI SYSTEMS ENGINEER Agentic AI, Multi-Agent Systems & Secure AI Workflows (U.S.) Remote • United States We're building production AI systems designed for enterprise environments. We're looking for exceptional AI systems engineers who enjoy solving difficult systems problems – not just writing code. Our work sits at the intersection of agentic AI, software architecture, enterprise systems, governance, security, and operational intelligence. We design AI systems that improve how organizations operate while meeting the standards required for production deployment. We value engineers who think in systems, challenge assumptions, and care deeply about building technology that is reliable, understandable, secure, and useful. If you're motivated by difficult engineering problems, thoughtful architecture, and building production AI systems for enterprise organizations, we'd like to hear from you. WHAT YOU'LL HELP BUILD Examples of the types of systems we design include: - Multi-agent AI systems - Enterprise AI assistants - Secure AI workflows - Enterprise workflow automation - AI-powered knowledge systems - Human-in-the-loop decision support - Document intelligence - Retrieval-Augmented Generation (RAG) - AI memory and retrieval systems - AI evaluation and testing frameworks - Secure enterprise AI platforms - AI governance capabilities - Operational intelligence platforms TECHNICAL EXPERIENCE WE VALUE We're interested in engineers with experience in some combination of: - Python - AI Agent Development - LangGraph - LangChain - Large Language Models - API Development - Vector Databases - Software Architecture - Enterprise Systems Integration - Information Security Experience with OpenAI, Anthropic, Model Context Protocol (MCP), cloud infrastructure, workflow orchestration, observability, distributed systems, or regulated technology environments is also valuable. We do not expect expertise in every technology. We care far more about engineering judgment, systems thinking, demonstrated execution, and continuous learning than checking every technology box. THE PROBLEMS WE ENJOY SOLVING The engineers who thrive here enjoy questions like: - How should multiple AI agents coordinate work? - How should humans remain in control of important decisions? - How should production AI systems scale safely? - How should memory be designed for enterprise AI? - How should AI systems balance operational performance with governance, security, and reliability? - How should AI systems create measurable business value? If those questions excite you, you'll probably enjoy working with us. WHAT MAKES SOMEONE SUCCESSFUL HERE We're looking for engineers who: - Think in systems rather than individual features. - Care deeply about production quality. - Enjoy solving ambiguous technical problems. - Communicate complex ideas clearly. - Balance speed with sound engineering judgment. - Build practical solutions rather than chasing hype. - Continuously learn, experiment, and improve. We're significantly more interested in systems you've built than technologies you've used. Please provide specific examples that demonstrate your role, engineering decisions, and measurable outcomes. We recognize that many engineers use AI as part of their workflow. You're welcome to do the same. However, your application should accurately reflect your own experience, judgment, and technical thinking. We respect the confidentiality of your current and former employers, clients, and partners. Please do not include proprietary or confidential information in your application. Describe your work at a level that demonstrates your engineering approach without disclosing protected information. PROFESSIONAL STANDARDS We value integrity, sound engineering judgment, and respect for intellectual property. Please do not include confidential, proprietary, export-controlled, or other non-public information belonging to your current or former employers, clients, or partners in your application or work samples. We're interested in your engineering approach, architectural thinking, and problem-solving methodology – not protected information belonging to others. If you share code, architecture diagrams, technical documentation, or project examples, please ensure you have the legal right to do so and identify any material open-source or third-party technologies where appropriate. By submitting application materials, you represent that you have the legal right to share them and that doing so does not violate any confidentiality, intellectual property, employment, consulting, or other contractual obligations. Any engagement, if offered, will be subject to a separate written agreement covering confidentiality, intellectual property ownership, compensation, and other applicable terms. Submission of an application or participation in the evaluation process does not create any employment, independent contractor, partnership, joint venture, agency, fiduciary, or other business relationship with 26ers AI, nor does it obligate either party to enter into any future engagement. 26ers AI reserves the right to evaluate applications, discontinue discussions, modify the hiring process, or decline to pursue any engagement at its discretion. Nothing in this posting should be construed as an offer of employment or an offer to contract.

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

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.

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.