Fullstack AI Developer for Marketing OS

@pkundu25

I am an experienced AI Developer. Your job caught my eye and looks to be quite interesting to me as I developed varieties of AI Agent and Agentic AI systems in recent past. I am well conversant with Generative AI and hands-on experience in developing AI applications using LangChain and LLMs. I am confident that I will be able to help you by developing next-gen Marketing OS powered by Agentic AI system capable of automating admin workflows as required by the business. Similar work done in the past: - AI Agent for Risk and Mitigation - AI Powered Copilot for Text2SQL Query - Document segmentation using Agentic AI - ChatPDF - Semantic search engine Relevant Skills: - Python - Django/Flask/React.js/Nodel.js - Agentic AI - LangGraph/n8n - LanceDB/ChromaDB/FAISS - GPT4o/Gemini/Llama3.2/Mistral - AWS/Thunder Compute - MySQL - TensorFlow - Google Colab - OpenCV Let's have a chat to understand the project objective and other relevant details. I assure you to deliver the best quality results and ensure the customer satisfaction. Looking forward to hearing from you soon. Thanks for the opportunity.

@vishal1145

Your LangGraph-based agent workflows will fail silently if you don't implement proper state persistence and error recovery. I've debugged this exact issue in 3 marketing automation platforms where agents lost context mid-execution, causing incomplete campaign deployments. Before architecting the solution, I need clarity on two things: What's your expected throughput for concurrent AI agent executions - are we talking 100 or 10,000 simultaneous workflows? And does your vector DB need to support semantic search across multi-tenant data with strict isolation? Here's the architectural approach: - LANGGRAPH + PYTHON: Build stateful AI agents with checkpointing to Redis, ensuring workflows resume after failures without data loss or duplicate API calls to LLMs. - NODE.JS + REACT: Implement real-time agent monitoring dashboards using WebSockets, giving marketers visibility into campaign execution status with sub-second latency. - VECTOR DB OPTIMIZATION: Design chunking strategies for Pinecone/Weaviate that balance retrieval accuracy with query speed, keeping response times under 300ms even with 10M+ embeddings. - DOCKER + CLOUD: Containerize agent services with horizontal auto-scaling triggers based on queue depth, preventing bottlenecks during campaign launches. - LLM INTEGRATION: Implement retry logic with exponential backoff and fallback models to handle OpenAI rate limits without breaking user workflows. I've built 2 AI-powered marketing platforms that scaled from 0 to 50K users, including one that processed 2M+ agent executions monthly. Let's schedule a 20-minute technical call to discuss your state management strategy and failure scenarios before we commit to the architecture.

@quan9824

Hi. I am an experienced Full Stack and AI developer with strong expertise in building scalable backend systems and AI-driven applications. I have worked extensively with Python, Node.js, React.js, databases, vector databases, Docker, and cloud environments, delivering production-ready solutions with clean architecture and maintainable code. My experience includes designing and implementing AI workflows, integrating LLMs, building RAG pipelines, and developing automation systems using structured agent-based approaches. I am familiar with vector databases, prompt engineering, and scalable system design for AI products. I also have experience deploying applications using Docker and managing cloud-based infrastructure. On the full-stack side, I build modular backend services, REST APIs, real-time systems, and responsive React interfaces, ensuring seamless integration between frontend, backend, and AI components. I focus on performance, security, scalability, and long-term maintainability. I am comfortable owning modules end-to-end — from architecture design to deployment — and working in collaborative, fast-paced environments. I am available for remote work and can align with IST shift timings. I would be happy to discuss how I can contribute to your next-generation AI-powered Marketing OS.

@TechizeBuilder

Hi, I came across your project "Fullstack AI Developer for Marketing OS" and I'm confident I can help you with it. About Me: I'm a full stack developer and agency owner with over 8+ years of experience in Node.js, Full Stack Development, Python. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@Microlent

I notice you are looking to build out a Marketing OS using LangGraph and agentic workflows. Most teams struggle when they try to move past basic prompts into actual AI orchestration that works at scale. I focus on building those backend pipelines so your agents do not just hallucinate but actually follow complex logic and handle data correctly. I can own the full cycle from designing the vector database architecture to building the React frontend. Since you are looking for a 6 month contract, I can jump straight into the Python and Node side to get your automation pipelines running. I have handled similar automation logic before, like in this project: https://www.freelancer.com/portfolio-items/11355905-maxbets-sports-betting-and-casino. I am comfortable working in IST and can manage the Docker deployments for the whole system independently. Want a 2-min screen recording of how I'd build LangGraph-powered agentic workflows? Just say the word. Rajesh

@gauravl3

As an expert in AI development and full stack engineering, I firmly believe I am the best candidate for this project. Throughout my 6+ years in the field, I’ve built numerous scalable AI systems using Python and implemented complete features using Node.js and React.js. My proficiency extends to managing databases, vector DBs, and even LLMs – skills that align seamlessly with the requirements of this role. Moreover, my experience with cloud computing including Docker, AWS, Azure, and Google Cloud provide me with the ability to create secure and scalable architecture – another critical aspect of this job. My skills are broad but focused on optimizing performance and business value; something that will prove valuable as we build your next-gen Marketing Operating System. Not only do I boast strong backend fundamentals but also an advanced understanding of Artificial Intelligence and its place in streamlining workflows and automation pipelines. Leveraging my expertise in these areas we can create robust frameworks for your AI agents which would improve efficiency within your marketing department. If given a chance, I'm confident I can bring immense value to your team by turning your ideas into reality in the most reliable way possible,'#

@sonika1419

**DO NOT PAY ME UNTIL I COMPLETE! :)** Hello my valuable client :) My profile is new over here but I have 7 years of experience in this field. I have completely understood about your project. Also I will provide you free maintenance on your project for 1 year after project completion. I can definitely complete this in your timeframe. Give me one chance to prove myself. Hit the chat button to get started. If you will not like my work then you dont need to pay me any money so dont worry and have faith in me :) I am eagerly waiting for your message.

@nitinjohnson316

Hello, I can build AI-heavy systems with Node.js, React.js, Python services, vector databases, workflow orchestration, and LLM integrations for SaaS products handling realtime data and automation at scale. This looks heavily backend-driven around AI workflows, agent coordination, API orchestration, and scalable async processing. I’ve worked on similar architectures using OpenAI APIs, retrieval pipelines, queue systems, Dockerized deployments, and modular backend services where reliability and response speed mattered in production. I am comfortable owning modules end-to-end architecture, APIs, deployment, debugging, and scaling. Also experienced with multi-service systems combining React frontends with AI-driven backend pipelines. Relevant experience includes: * AI agents & automation workflows * Vector DB + RAG systems * Node.js + React.js fullstack apps * Docker & cloud deployments * Webhook/API-heavy integrations * Realtime and async processing systems Looking forward to hear from you. Regards, Nitin Johhnson

@hassam945

Hi,I understand you are building a next-generation AI-driven Marketing OS with scalable backend systems, AI agents, workflow automation, LLM integrations, vector databases, and a React-based fullstack dashboard. The key requirement is not just development, but designing reliable AI systems that can scale, orchestrate agents, and run production-grade automation pipelines. I have experience building AI-integrated fullstack systems using Python, Node.js, React.js, APIs, and LLM-based workflows. I’ve worked on AI automation pipelines, retrieval-based systems, and backend architectures focused on scalability and clean system design. I am also familiar with vector-based retrieval concepts, prompt workflows, and integrating AI models into real applications. I can contribute across backend AI services, API development, frontend dashboards, and system architecture while ensuring maintainability and scalability. You can evaluate me with any technical task before hiring. If you are satisfied with my performance, I would be glad to join your team. I am confident I can add real value to your project based on my experience in AI systems and fullstack development. Lets connect for further discussion .

@pabyte

Hello Sir, I’m Abdul from Pabyte. I understand you need more than just a backend developer, you need someone who can help build a reliable AI-powered Marketing OS that can scale, automate workflows, and support real product growth over the next 6 months. I have experience with Python, Node.js, React.js, databases, vector DBs, APIs, Docker, cloud deployment, LLM integrations, AI agents, automation pipelines, and scalable backend architecture. I can work on both backend AI systems and fullstack product features while keeping the code clean, maintainable, and production-ready. My approach would be to first understand the existing architecture, AI workflows, database/vector DB setup, and product roadmap. Then I’ll help build and scale backend modules, integrate LLMs and external data systems, create automation workflows, and deliver React/Node features from architecture to deployment. A few questions: Q1 – Is the current system already built, or will modules be developed from scratch? Q2 – Which vector DB and cloud platform are you using? Q3 – Is LangGraph already part of the architecture? I look forward to bringing your vision to life! Best regards, Abdul from Pabyte Please come to my chat. I am ready to start right now.

@kishanbwts

I see you want a concise, client-focused proposal aimed at solving their specific problem in building a scalable AI-powered Marketing OS. Here’s a practical, clear proposal under 1400 characters: --- I’ve helped teams build AI-driven platforms that scale smoothly, including marketing tools integrating LLMs and automation workflows. Your need for a fullstack developer skilled in Python, Node.js, React, and vector DBs aligns well with my experience delivering end-to-end modules—from architecture to deployment—on cloud using Docker. To handle AI agent workflows and seamless LLM integration, I’d start by mapping core automation: which marketing processes need priority pipelines, and how LangGraph could streamline orchestration. Also, have you scoped data syncing challenges with external systems to keep AI agents updated in real-time? I’ve solved similar issues by setting up robust backend APIs with scalable vector DB queries and smooth React frontends, ensuring performance under load. This approach prevents bottlenecks and supports future extensions. Ready to dive in and build your Marketing OS on a solid foundation that can evolve as AI capabilities grow. --- Let me know if you want proposals for other jobs too!

@usamaansari786

With over five years of extensive experience in full-stack development, I bring a unique set of skills and expertise that perfectly aligns with your project's requirements. As an AI Backend / Fullstack Developer, I have a deep understanding of Node.js, React.js, APIs, Databases (including vector DBs), Cloud Computing, Docker and more. These are the exact tools you need for developing and scaling the AI-powered backend systems that will drive your next-generation Marketing OS. Throughout my career, I've consistently demonstrated my strong backend fundamentals, particularly in my Python and Node.js work. My experience with cloud and Docker makes me the ideal candidate to handle the use of scalable system tools that your project entails. Additionally, I'm skilled in automation tools which would be highly valuable for designing efficient workflows and automation pipelines. Warm Regards, Usama F

@paksoftwork5

With my extensive experience of over six years in full stack development, particularly in Python, Node.js and React.js, I'm ideally suited to take on the role of a Fullstack AI Developer for your Marketing OS project. My knowledge and experience with databases, vector DBs, APIs, cloud computing and Docker will prove vital in building and scaling your AI-powered backend systems. I've successfully developed scalable AI-driven systems in the past while also implementing fullstack features using React.js and Node.js. I believe that my familiarity with LLMs and automation tools would be assets when integrating them with your marketing tech needs. In addition to this, I've had the chance to work on LangGraph which I see is among your preferred skills. What sets me apart as a freelancer is my holistic approach towards projects. Not only can I build performant codes and scalable systems, but also design appealing UI/UX for maximal user engagement. My dedication towards meeting client's expectations combined with a deadline-driven mindset has earned me long-lasting relationships with previous clients. So let's collaborate, turn ideas into reality, and make an indelible impact in the realm of digital marketing through this project!

@mahads31

Hi, Could you share more about the specific AI features you want to implement in your Marketing OS? I’m excited about the opportunity to develop scalable backend systems and integrate LLMs. With over 5 years of experience in Python, Node.js, and React.js, I’ve successfully delivered fullstack solutions and worked extensively with databases and vector DBs. I also have a solid background in cloud computing and Docker, which are crucial for building robust systems. I’m passionate about automation frameworks and eager to explore LangGraph to enhance your AI capabilities further. Let’s connect to discuss your project in detail! Best Regards,

@fizaa170

I have experience building AI powered backend systems with Python, FastAPI, Node.js integrations, React based workflows, vector databases, automation pipelines, and LLM powered applications. I’ve worked on scalable SaaS architectures, AI agents, API integrations, Docker deployments, and production ready cloud based systems with strong backend ownership. Will the Marketing OS mainly focus on AI agents/workflows or customer data automation pipelines as well? Which vector databases and LLM providers are currently being used in the stack? Is the architecture already defined or are you expecting ownership from system design to deployment too? Best regards, Muzammil

@manoval09

Hi, You're building a fullstack AI marketing OS and need someone who can wire ML models into production APIs and frontend workflows without the stack falling apart. That requires Python backend chops, real-time API design, and frontend work that actually plays nice with AI predictions—I've shipped that stack repeatedly for analytics and marketing automation products. My approach: Python backend with FastAPI to serve AI features with low latency, PostgreSQL for structured campaign data, and REST APIs designed around your specific ML use cases (copy generation, audience segmentation, recommendation logic). React frontend with direct model integration—whether that's streaming predictions or batch inference. I keep the data pipeline explicit and the APIs versioned so the product doesn't break as requirements evolve. First question: what's your lead use case for the AI layer, and do you have existing infrastructure I'm building into, or is this greenfield? That shapes the MVP scope and timeline significantly. I can scope and start architecture within 24 hours of clarity on those points. Best regards, Val

@fabc14

With over 5 years of experience in Python, Node.js, and React.js, I am well-equipped to handle the challenges of building your next-generation Marketing OS. My passion for technology extends beyond code - I am genuinely interested in the evolving fields of data science, artificial intelligence, and machine learning, making me the ideal fit for this AI-driven project. One of my strengths as a developer is my ability to comprehend and implement complex backend systems. I have worked extensively with cloud and Docker technologies, ensuring the efficient scalability and deployment of systems. Additionally, having exposure to vector DBs and automation tools, I can streamline workflows and create high-performing AI agents that your project requires. Finally, what sets me apart is my curiosity and adaptability. Technology is not just a career for me; it’s a way of thinking and crafting meaningful solutions. This spirit pushes me to constantly learn new tools, frameworks, and methodologies that could give us an edge in the industry. Together, we can build an impactful solution that will revolutionize your marketing operations.

@faizantariq01

Hi, I’m interested in the AI Backend / Fullstack Developer role. I have strong experience with Node.js, React.js, Python, APIs, Docker, cloud deployment, and scalable backend architecture. I’ve also worked with AI based systems, automation workflows, LLM integrations, and vector database setups for modern applications. Your Marketing OS vision and focus on scalable AI driven systems aligns well with my experience. I can contribute across backend development, AI workflow implementation, API integrations, and deployment while taking ownership of modules end to end. Available for IST shift and long term contract collaboration. Looking forward to discussing the role further.

@vertechsolutions

Hi, I can fix your Fullstack AI Developer for Marketing OS I've solved this exact problem many times. Here is what I will do: Build and stabilize Python/Node.js backend services with clean APIs, auth, and database logic. Create React.js frontend features and connect them to AI workflows, vector DBs, and external systems. Set up Docker, cloud deployment, and scalable automation pipelines with LangGraph-ready architecture. 10 days free support after delivery Milestone-based payment Reply "YES" and I will share a similar sample within 1 hour. Best regards, syed ribal