Overview We are looking for an experienced contract Product Engineer / Full-Stack Engineer to help maintain, stabilize, and enhance an existing production React + Ruby on Rails application. This role is hands-on and collaborative, working closely with our lead engineer to deliver features, fix bugs, and improve overall system reliability and architecture. This is a 6-month contract with consistent weekly hours and the potential for extension. What You’ll Do - Maintain and enhance a live, production React / Rails application - Work closely with the current lead engineer on implementation and planning - Implement new features from defined requirements - Debug and resolve production issues - Improve code quality, performance, and architecture over time - Assist with light coordination and technical planning as needed Required Technical Skills - Frontend - Strong experience with React (JSX syntax) - API integration using Fetch - Familiarity with component libraries such as Bootstrap, React-Bootstrap, or jQuery - Understanding of modern frontend tooling (Webpack, Babel) Backend - Ruby on Rails (6.1.x) experience - Solid understanding of the MVC pattern - Experience with ActiveRecord and PostgreSQL - Building and consuming RESTful APIs - Background job processing - Working with model relationships, migrations, and service objects DevOps / Infrastructure - Git and Git branching strategies - Basic Linux server familiarity (CLI usage) Nice-to-Have Skills - Third-party API integrations - Authentication experience (Devise, OAuth, SAML) - React performance optimization - Rails performance tuning and query optimization - Experience working in large or legacy codebases - Power BI or reporting tools - Interest in mentoring or pairing during ramp-up How You Work - Able to onboard quickly into an existing codebase - Comfortable working independently with minimal oversight - Strong communicator (clear updates, async collaboration, clean Git commits) - Can work directly with business stakeholders to clarify requirements - Good documentation habits Experience Requirements - 3–5+ years of full-stack development experience - 2+ years hands-on React experience - 2+ years hands-on Ruby on Rails experience - Prior contract or consulting experience preferred - Proven experience maintaining production systems Education - Bachelor’s degree in Computer Science or related field (optional) - Equivalent professional experience is fully acceptable - Bootcamp graduates welcome if you have real-world production experience Contract Details - Contract length: 6 months - Location: Remote - Hours: ~40 hours/week (open to discussion) - Time zone: Must overlap with Pacific Time

We're building an internal operations platform to automate utility account management for a large real estate portfolio. Today, much of this work is manual. Information about utility accounts exists across multiple systems, and employees spend significant time identifying missing bills, reconciling account data, researching exceptions, and coordinating follow-up work. We're building a system that automates these processes by synchronizing data between our operational system and accounting system, applying business rules to identify exceptions, and presenting actionable work queues and dashboards for our operations team. Examples include: Utility accounts that exist in one system but not another Missing or delayed utility bills Accounts requiring setup or closure based on occupancy changes Autopay and e-bill tracking Operational exceptions that require human review Dashboards, work queues, assignments, notes, and status tracking Our internal product manager owns the business requirements and workflows. Your role is to work closely with them to design and implement the technical solution, not to perform business process discovery. What You'll Do Design and use AI to build the application's backend and frontend. Design a clean, maintainable application architecture. Use AI to build dashboards and workflows that allow operations teams to efficiently manage exceptions. Translate product requirements into production-ready software. Leverage AI development tools (Codex, Claude Code, Cursor, or similar) as a core part of your workflow to accelerate development. Review, validate, and refine AI-generated code to ensure quality and maintainability. What We're Looking For We're looking for an experienced software engineer with strong software engineering fundamentals who embraces AI-assisted development. You should understand how modern software applications are architected, designed, built, and deployed, and be comfortable making sound technical decisions while moving quickly. Experience in many of the following areas is preferred: Full-stack application development Application architecture and system design APIs and system integrations SQL databases and data modeling Authentication and security Cloud-hosted applications Testing and debugging Source control and collaborative development We care much more about engineering judgment, speed of execution, and the ability to effectively leverage AI than expertise in any particular language or framework. Nice to Have Experience building internal business applications or operations platforms Experience working with accounting, ERP, or workflow systems Experience building dashboards and operational tooling To Apply Please include: A brief summary of your experience building business applications. The AI development tools you use regularly (Codex, Claude Code, Cursor, Windsurf, etc.) and how they fit into your workflow. Examples of projects where AI significantly accelerated your development process. Your availability over the next 2–3 months and your expected hourly rate.

We are looking for a senior U.S.-based iOS engineer to help take an existing AI-powered consumer app to the next level. The app is already built and currently in active TestFlight testing. We are now focused on implementing expert-level iOS features, improving the overall user experience, increasing retention, and optimizing conversion from free users to paying subscribers. We're not simply looking for someone who can write code. We're looking for someone who understands consumer products, user psychology, subscription businesses, onboarding flows, engagement loops, and what makes users come back and ultimately become paying customers. The ideal candidate can look at a feature and think beyond implementation. We want someone who can identify opportunities to improve activation, retention, monetization, and overall product quality while building a world-class iOS experience. Responsibilities: • Build and ship expert-level iOS features • Improve onboarding and user activation • Increase retention and engagement • Optimize subscription conversion and monetization • Improve UI/UX throughout the app • Fix bugs and improve performance • Collaborate on product strategy and feature planning • Assist with TestFlight and App Store releases

We are seeking a US-based computer vision and full stack developer to build a platform for sports card recognition. The project includes developing subscription management, dashboards, and user account features. The ideal candidate will have experience creating scalable applications and integrating computer vision capabilities into a user-friendly platform. Hiring: Computer Vision + Full Stack Developer for Sports Card Live Auction Overlay App (SaaS) 📌 Overview I’ve built an MVP of a real-time sports trading card scanning and comping overlay tool using Loveable.dev. The product helps buyers gain an edge during live auctions by instantly identifying cards and showing real-time market comps. Now I’m looking for a U.S.-based developer (or strong US-aligned freelancer) to take this from MVP → production SaaS. This is a subscription-based product, so I need someone who can help build something fast, accurate, scalable, and hard to replicate. 🧠 What the product does Users can: Capture or upload sports trading card images during live auctions (mobile + desktop) Instantly identify: Player Year / set Parallel / serial number Pull live market comps Display a real-time “buy / avoid / fair price” overlay The goal is speed + accuracy in live buying situations (seconds matter). ⚙️ What I already have MVP built in Loveable.dev Basic overlay + UI flow Initial comp logic concept Subscription idea (not yet fully implemented) 🛠️ What I need help building (Phase 1 → Scale) I’m looking for someone to help rebuild and harden the system into a real SaaS product: 1. Computer Vision / OCR Layer Card detection from images (mobile + desktop) OCR extraction (player name, set, serial numbers) Image recognition / matching to known cards Confidence scoring (very important — must avoid wrong matches) 2. Comp Engine (Core Value) Integrate or build system for: eBay sold listings 130point or similar comp sources Card Ladder / ALT-style pricing logic Return: last sale average comp trend direction liquidity estimate 3. Real-Time Overlay System Lightweight overlay that works during live auctions Low latency (fast lookup is critical) Works on mobile + desktop workflows 4. SaaS Infrastructure User accounts + authentication Subscription billing (Stripe) Usage tracking / rate limiting Admin dashboard 5. Scaling / Production Hardening API architecture improvements Database structure Performance optimization for real-time use Error handling for imperfect images 💡 Ideal candidate You should have experience with: Computer vision (OpenCV, YOLO, or similar) OCR pipelines AI image classification or similarity matching Full-stack SaaS development Stripe subscriptions API design (Node.js / Python / Next.js preferred) Huge plus if you have: Sports card / collectibles knowledge Experience with marketplaces or scraping pricing data Real-time / low-latency systems 🎯 Why this is interesting This is not a generic app. It’s: A real-time decision engine for high-value collectibles Built for a passionate, high-spend niche (sports cards) Subscription-based with strong monetization potential Designed for speed advantage in live auctions 📍 Requirements Must be U.S.-based (preferred for communication/time zone alignment) Must be able to work independently Must have strong GitHub/code examples Bonus if you’ve built AI or vision-based SaaS tools before 💰 Budget Open to: Hourly or fixed project 📩 To apply, please include: Relevant CV / GitHub Past AI / computer vision projects Any SaaS or startup experience Your approach to building a real-time image → comp system Availability per week

We are seeking an expert Industrial Designer (CAD Sculptor) or Mechanical Engineer to join our team. The ideal candidate will have a strong background in industrial design and mechanical engineering, with a focus on CAD sculpting. Responsibilities include designing and developing innovative products, collaborating with cross-functional teams, and ensuring designs meet quality and functionality standards. If you have a passion for creating cutting-edge designs and a keen eye for detail, we would love to hear from you.

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 

I’m running a real estate investment platform called ToInvested.com. The project is about 90% finished, and most of the code was built with Claude together with another engineer. Now I need a senior engineer to step in, review the full product carefully, test every major workflow, and help verify that everything is working correctly before it goes live. This is not just a “write more code” role. I need someone who can look at the platform like a real product, find hidden bugs, catch weak logic, test edge cases, review the AI-generated code, and tell me honestly what is ready and what still needs fixing. Because this is a real estate investment platform, accuracy and trust matter a lot. Users may rely on property data, investment logic, calculations, and AI-driven insights, so even small issues can create a serious problem later. The ideal person has strong full-stack experience, understands AI-assisted development, and has a good testing mindset. Real estate tech experience would be a big plus, especially with property platforms, investment tools, marketplaces, mortgage systems, or financial workflows. My main goal is simple: I want someone to break the project before real users do. If you’re the kind of engineer who can take a nearly finished product, test it deeply, clean up weak areas, and help make it production-ready, I’d be happy to talk.

**Job Description:** We are looking for an experienced Software Quality Engineer to enhance quality in our SaaS platform through manual testing, test automation, API validation, and collaboration across teams. This senior role focuses on building scalable quality systems rather than just executing test cases. **Core Responsibilities:** - **Quality Strategy:** Improve QA processes, establish testing standards, create risk-based testing, and drive quality metrics. - **Manual Testing:** Develop test plans, perform exploratory and regression testing, validate workflows, and document defects. - **Test Automation:** Design automated testing frameworks for UI and APIs, integrate testing into CI/CD pipelines, and enhance automation coverage. - **API Testing:** Test REST APIs, validate authentication, and create automated regression suites. - **Data Validation:** Validate application data, perform data reconciliation, investigate issues using SQL, and verify integrations. - **Documentation:** Maintain test plans, QA processes, release checklists, regression suites, status reports, and defect documentation. - **Collaboration:** Work with developers, participate in reviews, lead bug triage, and communicate quality risks. **Required Experience:** - 5+ years in QA for SaaS products - Strong manual and test automation skills - API testing experience and strong SQL skills - Agile methodology experience - Excellent communication skills **Preferred Experience:** - Familiarity with AI tools for QA processes - Experience with B2B SaaS platforms, enterprise software, and complex workflows **Automation Tools:** Playwright, Cypress, Selenium, TestCafe **API Tools:** Postman, Swagger/OpenAPI **Data Validation:** SQL Server, PostgreSQL, MySQL

Project: Exponentials – AI-Powered Personalized Discovery Platform Overview Exponentials is an AI-powered personalized discovery platform built around a simple but ambitious idea: The internet is optimized for search, advertising, and recommendation systems that push information toward users. We believe the next major category is personalized discovery: AI systems that understand intent and help users discover the most relevant products, services, experiences, education, healthcare resources, media, travel opportunities, software, and knowledge. We have already built a working investor-facing prototype: https://pull-discovery-core.base44.app The current demo allows users to enter natural-language queries and receive AI-generated discovery recommendations across multiple categories. Rather than simply returning traditional search results, the platform attempts to identify user intent, explain why recommendations were selected, and surface relevant discoveries spanning products, experiences, education, media, travel, wellness, software, and more. The visual design and core concept are strong. The next stage is transforming the prototype into a compelling investor-ready product while building the systems, automation, and fundraising infrastructure needed to support rapid growth. This is not a typical freelance coding project. We am looking for someone who can operate as a founding-level contributor and help bridge product development, investor readiness, fundraising operations, and strategic execution. Primary Mission Your primary mission is to help Exponentials become significantly more attractive to investors, strategic partners, and future customers. This includes strengthening the product itself, improving investor confidence, and creating the operational systems needed to raise capital efficiently. Primary Responsibilities Investor Readiness and Fundraising Infrastructure This is the highest-priority responsibility. Help design and implement systems that support fundraising, including: Investor CRM Investor pipeline management Investor segmentation Relationship tracking Outreach automation Follow-up systems Meeting scheduling workflows Investor updates Data room organization Due diligence preparation Fundraising dashboards Pipeline analytics Experience with tools such as HubSpot, Airtable, Clay, Notion, Apollo, Instantly, Zapier, Make, Gmail automation, and similar platforms is highly valuable. Investor Demo Optimization The Exponentials demo is intended to help investors understand the long-term vision of personalized discovery. Responsibilities include: Improving demo quality Strengthening credibility Improving recommendation quality Eliminating weak or broken experiences Creating compelling investor journeys Improving onboarding Improving first impressions Increasing confidence in the product vision The goal is to create a demo that immediately communicates why Exponentials could become an important platform category. Discovery Engine Improvement The product currently attempts to identify intent and recommend discoveries across multiple industries. Areas of focus include: Intent detection Entity discovery Recommendation quality Result ranking Trust and credibility Explanation systems Entity resolution Verified recommendations Multi-category discovery experiences Categories include: Ecommerce Education Healthcare Media Travel Experiences Restaurants Wellness Software Consumer products Experience with recommendation systems, search, retrieval, ranking, AI workflows, knowledge systems, or discovery products is highly desirable. Exponentials Investment Thesis Why this is inevitable — 8 core arguments 1 Exponentials is solving the AI backlash via the co-evolution of AI and humans in the service of human needs, and thus moving from the current extraction model of AI to a collaborative model. For Exponentials, this is moving past discovery silos to create unified discovery across (initially, $25 trillion TAM) Ecommerce, healthcare, education and media. This is accomplished through the combination of Search, LLM's and World models 2 AI can't be (optimally) successful if too many of its (potential) customers are fearful of or dislike AI 3 AI is feared and disliked (in addition to loved), as customers are smart enough to realize that AI is employing an extraction model on humans rather than a collaborative model with humans in the service of human needs 4 Major tech CEO's telling the public that they are wrong to have negative views about AI is insulting one's customer 5 If the AI industry wants to get into a war with the public it will be a stalemate at best. AI has enough perceived benefits already and the AI companies are powerful enough that they can impose their will on the public to a certain degree, but 6 It is inevitable that the AI companies who actually give the customers what they want and what truly benefits them, by flipping from the push to the pull model, will have a sustainable competitive advantage, with both inevitability and defensibility. 7 Famously, the future is already here. It is just not evenly distributed. And famously, there is nothing more powerful than an idea whose time has come. 8 We are not selling technology. We are not selling a model of AI. We are selling an empowered path for humanity that is inevitable and defensible because the AI backlash is real and not sustainable long term.

Job Description I am developing a patent-stage consumer product that involves a precision two-component sacrificial foam mold system. The engineering is complete at the systems level. A detailed constraint brief, locked geometry, and full technical documentation are ready to hand over on day one under NDA. I have a solid background in 3D design and 5-axis CNC machining. I am not looking for someone to explain the basics. I am looking for a skilled solid modeler who can execute a well-defined engineering brief precisely — and who has the mechanical intuition to solve one genuinely novel geometry problem at the heart of this system. The core challenge in plain terms: One component of the mold system is a hollow curved foam shell that must be segmented into a three-dimensional jigsaw. The assembled jigsaw must be self-locking under inward compressive load during the casting process. After casting, every segment must be extractable through a constrained aperture — approximately 10 inches by 8.7 inches — without tools and without reaching inside the cast structure. The segmentation geometry, including a specific crown piece with a novel anti-uplift and wedge-free extraction geometry, is fully documented in the brief. The segmentation plan for the remaining shell segments is the open problem that requires spatial reasoning to solve in CAD. If that description made immediate sense to you and you already have a mental picture of the extraction sequence, we should talk. What You Will Receive After NDA A complete engineering brief package including all dimensions, functional requirements, geometric constraints, extraction aperture specifications, manufacturing tolerances, and reference drawings. The product category and application will be disclosed at that point. Phase 1 Deliverables 1. 3D solid model of the primary mold component — complete curved shell with solved segmentation geometry. All segments must pass through the extraction aperture in their optimal extraction orientation. The crown piece modeled to a specific documented geometry. Pull-cable attachment points and alignment features included. Drawn to final target dimensions — kerf compensation handled by the shop’s CAM software using a 3/8” cutter. 2. Interface option comparison — two interface options between mold sub-components to be modeled and assessed for machinability and shipping envelope. 3. Proportion renderings — scaled elevation views of three product sizes for design review. 4. Manufacturing file — STEP or IGES format ready for submission to a CNC foam pattern shop for quotation. Phase 2 (Contingent on Phase 1) Complete models for all three product sizes, secondary mold component models, full assembly model, exploded and section views for patent illustration, and bill of materials. Required Skills • Solid modeling in SolidWorks, CATIA, NX, or equivalent — complex curved surfaces, compound geometry, not prismatic parts • 5-axis CNC machining design experience — you understand witness marks, kerf compensation, draft angles, and what a foam shop can and cannot machine • Ability to evaluate extraction geometry — can a given segment clear a given aperture in a given orientation? This is the primary skill required for Phase 1 Preferred • Experience with EPS or soft material CNC machining design • Patent drawing or technical illustration experience Proposal Requirements I will only review proposals that directly answer these three questions: 1. Describe a specific complex geometry problem you have solved in 3D CAD — what made it difficult and how did you approach it. 2. Confirm your CAD platform and describe your 5-axis machining design experience specifically. 3. Based on the extraction geometry description above — what is your first question about how the segmentation problem should be approached? Proposals that do not answer all three will not be reviewed. I am not looking for the lowest bidder. I am looking for the right engineer. Terms • Hourly engagement — please quote your standard rate • Phase 1 is the initial commitment — Phase 2 follows on demonstrated performance • NDA required before any documentation is shared — this project is at the patent application stage and the product category will not be disclosed prior to NDA execution • Regular communication expected — screen shares and video calls to review geometry in progress This product has a clear commercial path and is being developed with patent counsel. The right engineer will have the opportunity to contribute to patent drawings and may have an ongoing role through prototyping and manufacturing.