Full-Stack AI Platform Developer

@diektech

Hi — Elias here from Miami. I see that you're looking to enhance your AI platform on GCP with a tech stack that includes ReactJS and a NodeJS + GraphQL API. The real challenge often lies in ensuring seamless integrations and maintaining scalability as user demand grows. What usually matters most here is how well the system can adapt to changes in both data and user roles, especially as AI components evolve. This task can look straightforward initially, but addressing state management and permissions effectively is crucial to avoid bottlenecks down the line. My approach would involve designing a modular architecture that prioritizes maintainability and stability. This way, we can incorporate future updates or features without significant rewrites. I’ve worked on similar platforms, focusing on stability and performance, which has equipped me to anticipate potential pitfalls. A few questions to better understand the scope: Q1 – How do you envision user roles and permissions being managed within the application? Q2 – What integrations with other services do you foresee as critical for this platform? Q3 – Are there specific scaling expectations or performance benchmarks you aim to meet? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@tangramua

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@irsolutions

With over a decade of experience in full-stack architecture and high-scale systems, I understand your need for a Full-Stack AI Platform Developer to enhance your GCP-powered app with AI features. My background in scaling systems for over 1 million users and expertise in AI/ML development make me well-equipped to tackle the challenges of tightening schema design, optimizing resolvers, and integrating new AI endpoints into your NodeJS/GraphQL layer. One strategic insight I can offer is to focus on building robust automation processes that streamline manual operations and ensure efficient deployment. Leveraging my experience in developing high-security FinTech systems, I have successfully implemented similar AI modules that deliver personalized content, automate tasks, and orchestrate processes. I am confident that my technical skills and strategic approach align perfectly with your project goals. Let's discuss how we can enhance your AI platform and accelerate delivery. Please reach out to me to discuss the roadmap and kick off our first milestone this week.

@MashoodurRehman1

I am an experienced Full-Stack Developer with a strong background in AI-driven applications and a proven track record in efficiently developing scalable solutions on GCP. I have hands-on experience with ReactJS, NodeJS, and GraphQL API, which aligns well with your project's stack and immediate priorities. In my recent projects, I have successfully implemented Generative AI models and automation pipelines to enhance operational efficiency and user personalization. Leveraging tools like Claude Code and Cursor, I efficiently manage end-to-end development while optimizing the NodeJS/GraphQL layer for performance and schema design. My proactive refactoring and addition of new API endpoints have enabled seamless integration with AI services, aligning closely with your business goals. I am interested in discussing how my skills can contribute to achieving your sprint acceptance criteria. Could we schedule a time to delve deeper into the project requirements and timeline to ensure a smooth adaptation to your existing systems?

@ZohaibRoy

⭐⭐⭐⭐⭐ Build and Optimize NodeJS/GraphQL API for AI Features ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for an experienced engineer for your NodeJS and GraphQL API. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for API development and optimization. I will ensure that your API layer is efficient and ready to support your AI features while providing value within your budget. ➡️ Why Me? I can easily handle your NodeJS/GraphQL API needs as I have 5 years of experience in full-stack development, focusing on schema design, resolver optimization, and endpoint creation. My expertise also includes working with AI integrations, ensuring a smooth connection between your services and AI modules. ➡️ Let's have a quick chat to discuss your project in detail. I can show you examples of my previous work and how I can optimize your current setup. Looking forward to our conversation! ➡️ Skills & Experience: ✅ NodeJS Development ✅ GraphQL API Design ✅ RESTful Services ✅ ReactJS Integration ✅ AI Model Implementation ✅ CI/CD in GCP ✅ Schema Design ✅ Resolver Optimization ✅ Automation Processes ✅ Testing and Debugging ✅ Feature Flag Management ✅ Team Collaboration Waiting for your response! Best Regards, Zohaib

@starttechno

Your GCP-based ReactJS, NodeJS/GraphQL, and AI platform is a strong match for my background. I’ll start with the services tier: review the schema and resolver patterns, identify query and mutation bottlenecks, add the endpoints your generative and agentic modules need, and cover the changes with focused tests. I’ll use Claude Code or Cursor for rapid iteration while still reviewing the generated code carefully and keeping the architecture maintainable. For the AI work, I can help prototype with your ML engineer and then turn those experiments into production services, including personalised content generation, automation pipelines, and task-chaining agents. I’ll also handle React integration where required, feature-flagged rollout, CI/CD checks, and GCP deployment verification so each sprint ends with green tests, merged PRs, and a working cloud build. My relevant production experience includes DeskLeap, a Shopify App Store SaaS with a public REST API, ClearAgent, a live multi-tenant customs-clearing platform, and an AI outreach system that discovers businesses, scrapes contacts, generates personalised emails, and manages paced SMTP delivery with unsubscribe handling. I can begin this week and work end-to-end across implementation, testing, refactoring, and deployment. Should the first milestone focus primarily on GraphQL optimisation and AI-service endpoints before expanding the agentic modules? Muhammad Saad

@gutibs

Hi! This is something we can definitely handle, and the stack and workflow you're describing is terrain we're comfortable with. Before we start the first milestone, the one thing I need to understand is how the AI modules are currently structured: are the agentic pipelines and automation processes already separated into discrete services, or are they embedded inside the GraphQL layer? The answer changes where we'd focus first — if they're entangled, the schema work and the AI refactoring need to move together rather than sequentially, which affects how we'd plan the initial sprint. On how we'd approach the rest: the GraphQL side — schema tightening, resolver optimisation, exposing clean endpoints for AI consumption — is straightforward for us. For the agentic and generative layers we work with the Anthropic SDK and Claude API directly, so Claude Code as a force multiplier fits naturally into our process rather than being something we'd need to ramp up on. For the ReactJS integration work, we'd keep frontend touches scoped to what the service tier actually requires and avoid scope creep there. GCP CI/CD with feature flags and a green test suite as acceptance criteria is a clean, familiar rhythm. The collaboration model with your ML engineer during prototyping and then owning the production build is exactly the kind of handoff structure we work well in. Gustavo & the DoTheCode team

@webbookstudio

Hi there, We understand you're looking for an experienced full-stack engineer to enhance your AI-powered application on GCP, focusing on the NodeJS/GraphQL layer, AI features, and integration with ReactJS. With our expertise in JavaScript, NodeJS, ReactJS, and GraphQL, alongside experience with AI development, we're confident in delivering high-quality solutions. Our similar projects, such as the learning platform website for children and the music voting mobile app, demonstrate our capabilities in handling complex technologies and AI integrations. What's the current state of your CI/CD pipeline, and are there any specific pain points you're experiencing with your existing infrastructure that you'd like us to address? Feel free to message us to discuss the details! — Webbook Studio

@ahmadayaz

With expertise in ReactJS, NodeJS, GraphQL, and AI technologies, I can optimize your NodeJS/GraphQL layer and seamlessly integrate AI services. My focus will be on schema design, resolver optimization, and creating new endpoints. Leveraging Claude Code and Cursor, I ensure timely delivery with green test suites and functional cloud deployments. Let's kickstart our partnership to enhance your project with personalized content, automation pipelines, and efficient task orchestration.

@adeelpirzada

Hi, I am Adeel. I built Boostifai, an AI SaaS with a React front end and a Node and Python services layer doing generative content and automation, so the mix of GraphQL resolver work and AI orchestration here is familiar territory. I would start by tightening the schema around the endpoints your AI modules actually consume, then wire agentic tasks behind feature flags so each one ships independently and stays testable. I use Cursor daily for exactly this kind of pairing between service code and model integration, so ramping into your CI/CD should be quick. Are the Agentic AI modules calling a single model provider right now, or several?

@ZahidBangash123

As an experienced Full-Stack Developer, I have the skills and knowledge to excel in your AI-driven project. My expertise in JavaScript, Node.js, and React.js is a perfect fit for optimizing your Node/GraphQL layer, schema design, resolver optimization, and exposing new endpoints. I'm also well-versed in AI development, ensuring seamless execution of generative models, automation pipelines, and Agentic AI modules. Moreover, my familiarity with Git and its effective utilization for CI/CD pipelines aligns with your project's requirements. Throughout my 5+ years in software development, I've excelled in end-to-end project management, which would allow me to readily pair with your existing ML engineer during prototyping and autonomously lead the production build, tests, and deployment on GCP. Finally, my commitment to creating scalable solutions that deliver tangible value makes me an ideal candidate for your growth-oriented team. I assure you of clean code architecture that promotes maintainability alongside robust performance and scalability. If you wish to set a strong foundation for your app on GCP while leveraging the efficiency of Claude Code or Cursor as force multipliers,I'm ready to get started on our first milestone this week.

@Hubready

Hello!, I am a Florida-based senior software engineer, and your project stands out because the real challenge is not just “adding AI” but making sure it fits cleanly into your existing GCP stack, ReactJS app, and NodeJS + GraphQL API without breaking production stability. I’d approach this in practical phases: 1. Review your current architecture, API flow, and AI touchpoints 2. Identify bottlenecks, data flow issues, and where AI can add the most value 3. Implement the feature cleanly in small testable steps 4. Validate performance, error handling, and deployment safety before rollout I work best on systems like this because I pay attention to the details most people skim past, especially around API contracts, state handling, and keeping the app maintainable after launch. Relevant work I’ve handled includes: - AI dashboard for a logistics SaaS - React/Node analytics platform for a fintech startup - GraphQL-powered admin portal for an e-commerce tool - Internal AI workflow system for a B2B ops team A couple quick questions so I can estimate the right path: 1. What exact AI feature(s) are you adding first, and what should the user experience look like? 2. Is the current GraphQL layer already structured for these new workflows, or should I help extend the schema too? 3. Are there any GCP services, auth rules, or deployment constraints I should respect from day one? If you want someone who will actually read the details and build it cleanly, I’m ready to jump in. -James

@juanpablomacf

The interesting constraint here isn't the AI features themselves - it's that your GraphQL schema has to stay stable enough for the frontend while it's also becoming the contract your AI services consume, which means schema changes now carry two audiences instead of one. I've worked with Node/GraphQL/React on GCP with AI features layered on top (generative content, automation pipelines, agentic modules), so I'm used to the pattern of keeping resolvers thin and pushing orchestration logic for agentic chains into dedicated services, rather than letting it bleed into the API layer. That's usually what keeps the schema clean as the AI surface grows. I use Claude Code and Cursor daily as part of my actual workflow, not just for boilerplate - mainly for resolver refactors, test scaffolding, and speeding up the review loop before a PR goes out, which fits your acceptance criteria of green tests and merged PRs per sprint. I'd start by looking at how the current resolvers expose data to the AI modules - whether it's request/response or if any of the agentic work needs streaming or async job patterns - since that shapes how I'd approach the endpoint work first. Quick questions: are the agentic modules currently orchestrated in-process, or through a separate service/queue? And is there an existing eval or test harness for the generative outputs, or is that something to help set up? Juan Pablo

@toriquldev123

Hello There! I’m Md Toriqul Islam and I’m excited to partner with you. I can dive into your project immediately. I have rich experience in ReactJS, NodeJS, GraphQL, GCP, AI integrations, automation pipelines, Generative AI, Agentic AI, and production-grade full-stack development. I understand you need an end-to-end engineer to strengthen your NodeJS/GraphQL services, optimize resolvers and schemas, build AI-ready endpoints, and develop Generative, Automation, and Agentic AI features while supporting React and GCP deployments. I’m skilled in NodeJS, GraphQL, ReactJS, AI APIs, agent orchestration, automation, testing, CI/CD, GCP, Claude Code, and Cursor. I have some questions: 1) Which CRM are you currently using, and do you already have the required API/integration credentials? 2) Do you have a preferred WordPress builder such as Elementor, Divi, or Gutenberg? 3) How many landing pages are you planning to build after the pilot page? I’m ready to start immediately and can work closely with your ML engineer while owning production implementation, testing, PRs, and feature-flagged GCP deployments. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@flapjakc

Hi, Mateo here, from Toronto. A GraphQL layer serving AI features only stays fast as the agentic modules grow if resolvers are designed with clear data-loading boundaries from the start, otherwise chaining multiple AI tasks through one schema tends to create N+1 query problems that surface only once traffic picks up. You mentioned wanting to tighten schema design and optimise resolvers as the immediate priority, so I would start there, profiling the current GraphQL layer before touching the AI modules, since a slow resolver underneath an automation pipeline just multiplies the latency every time an agent chains a task. I work comfortably across Node.js, GraphQL, and React, and I actively use Claude Code and Cursor as part of my workflow, reviewing generated output the same way I would review any code before merging, so speed never comes at the cost of correctness. Would you want the first milestone focused purely on schema and resolver optimisation, or paired directly with one of the AI modules from day one? Looking forward to working with you.

@sharmarahulraman

Hi, I’d love to help with your ReactJS + NodeJS/GraphQL + GCP application and contribute to the AI-focused development roadmap. I can help with: • GraphQL schema and resolver optimization • NodeJS APIs and AI-service integrations • ReactJS frontend integration • Generative AI and automation workflows • Agentic AI task orchestration • Testing, refactoring, and production deployment • GCP CI/CD and feature-flagged releases I’m comfortable using Claude Code and Cursor as development accelerators while maintaining clean, reviewed, production-ready code. A few quick questions: 1. What AI models/services are currently being used? 2. Which GraphQL framework and database are you using? 3. Are the Agentic AI modules already prototyped, or would I build them from scratch? 4. What is the scope of the first milestone? I’d be happy to review the current architecture and start with the first milestone this week.

@ranjika08

The immediate risk in your setup is that AI feature velocity can outrun the service layer, especially when GraphQL schemas and resolvers were not originally designed for heavier orchestration. I’d focus first on the API layer so new AI endpoints, automation jobs, and agent flows have a cleaner contract to build on. My background fits this kind of work well: NodeJS services, React integration touchpoints, API refinement, and cloud deployment workflows where each sprint still has to end with passing tests and safe releases. I’m also comfortable using Claude Code/Cursor practically as accelerators, not as shortcuts that leave messy production code behind. I can also help identify quick refactors that reduce future friction before more AI modules get added. - Is the first milestone centered mostly on resolver optimization, or on shipping net-new AI-facing endpoints? - Do you already have feature-flag tooling in place on GCP, or should that be part of the implementation approach?

@Walkingdreams

With over a decade of experience as a full-stack developer, specializing in MERN stack technologies, my team at Walking Dreamz Technologies have honed the skills that you're seeking for this project. Our in-depth understanding of HTML5, JavaScript, Node.js, and React.js aligns perfectly with the tech-stack outlined in your description. Moreover, I bring a background in AI development, including Generative AI models and Automation processes. In addition to my technical proficiency, I am a firm believer in clear and transparent communication, which is why you'll always have direct access to me as your primary contact. But it's not just about access – I understand the importance of milestones and regular progress updates. This is why my offered project approach includes frequent demos, transparent progress updates on clear milestones. Lastly, my ultimate goal is to build something that will not only accommodate your current needs but also easily extend into your future requirements. This customer-centric approach is what has garnered us 99% positive reviews on Freelancer.com. Joining forces with me not seulement guarantees efficient project delivery but also the opportunity for good chemistry and ongoing support. Let's get started building your Full-Stack AI Platform!

@jayantkumar314

I’m comfortable working end-to-end with ReactJS, Node.js, GraphQL, GCP, Generative AI, automation, and agentic workflows, using Claude Code/Cursor to accelerate delivery without compromising code quality. I can optimize schemas and resolvers, build AI-facing APIs, collaborate with your ML engineer, and own testing, PRs, feature flags, CI/CD, and production deployment. I’m available to start the first milestone this week.