Setup & Deploy Agentic AI: Node.js/Python Developer

@OutsourceMan

Hi, We're CnEL India, and we'd approach this as a structured review, stabilization, and deployment of your existing Agentic AI project, ensuring it runs reliably without unnecessary code rewrites. Our methodology: Review the existing codebase to identify frameworks, dependencies, and project architecture. Configure the local/server environment, install required packages, and set up environment variables and API keys securely. Troubleshoot runtime and dependency issues while preserving the existing application logic. Deploy the application on your Linux VPS, verify APIs, workflows, and AI responses, and confirm stable operation. Perform end-to-end testing, demonstrate the working system, and provide concise documentation for future setup and deployment. The focus is getting your Agentic AI project running quickly, cleanly, and in a maintainable state for testing and future enhancements.

@pkundu25

Hi there, I am a Senior AI Developer specializing in deploying and troubleshooting Agentic AI systems. I can start immediately to audit, fix, and deploy your existing codebase. Why I am the Right Fit for This Project: - Agentic AI Expertise: Deep experience with multi-agent orchestration using LangGraph, CrewAI, and LangChain, managing complex tool calling, state memory, and OpenAI/Anthropic API integrations. - Code Troubleshooting: Strong background in refactoring AI-generated code, resolving dependency conflicts (Poetry/Pipenv/npm), and fixing runtime state-management bugs. - Seamless Deployment: Expert in productionizing AI apps on Linux/Cloud VPS using Docker, PM2, and Nginx, ensuring secure environment variable configurations. My Step-by-Step Action Plan: 1. Code Audit (Day 1): Map architecture, check dependencies, and identify configuration gaps. 2. Local Setup & Bug Fixing: Resolve runtime errors and test core agent loops locally. 3. VPS Deployment: Deploy to your server with robust environment variables and process monitors. 4. Handoff: Deliver a live demo alongside lightweight, clear deployment documentation. Past Work: Developed Agentic AI system for document segmentation, AI Powered Copilot for Text2SQL Query, Risk mitigation and effort estimation using LangGraph and Python. Portfolio: https://www.freelancer.in/u/pkundu25?sb= I am ready to hop on a quick call to discuss it further. I am ready to start the project immediately.

@Zaiyan

I can help you set up and deploy your existing Agentic AI project. My first step will be to review the source code to identify the frameworks and dependencies used, ensuring I understand the project fully before proceeding. Based in Toronto, I work efficiently and will keep communication open throughout the process.

@mayankinnovative

Hi there I can set up and deploy your Agentic AI system using Node.js and Python with a reliable backend and production ready deployment My approach 1 AI Agents Configure the required agents workflows tools prompts and task execution logic 2 Node.js & Python Set up the application services and connect the AI components with the existing backend 3 API & Tools Integrate OpenAI or other LLM APIs databases external APIs and required tools 4 Memory & Workflow Configure agent memory context handling task orchestration and multi step workflows where required 5 Deployment Deploy the system on your preferred cloud or VPS with environment variables logging monitoring and secure API access 6 Testing Test the complete agent workflow error handling API responses and production deployment I have worked with Node.js Python APIs AI integrations automation systems and cloud deployments and can help take the agentic workflow from setup through production Quick questions to get started 1 Do you already have the agentic AI codebase or should I set up the project structure 2 Which LLM or AI provider are you planning to use 3 What tools APIs or databases should the agents be able to access 4 Where do you want the system deployed AWS DigitalOcean Hetzner or another provider 5 Do you already have the workflow and agent requirements defined Once I have these details I can review the current setup and start with the agent configuration and deployment Thanks

@santoshkumars17

With a strong command over JavaScript and Node.js, I have developed a proficient familiarity with the technologies needed to handle and deploy your Agentic AI project. Having been associated with Full Stack Web and Mobile App Development for over 5 years now, I've honed my skills in both frontend and backend precision. This unique dual-specialization will work tremendously well in reviewing and setting up your existing code-base for deployment. My experience deploying applications on Linux servers and cloud VPS lies in perfect alignment with the project requirements. It's this on-field knowledge combined with my Git/GitHub proficiency that ensures a streamlined, effortless process of eliminating confounding errors during Agentic AI runtime. Partnered with an ability to troubleshoot existing code competently, I can guarantee a fast completion of the initial setup. What sets me apart is not only my hands-on experience but also my commitment to delivering clean, optimized, and well-documented code. When you choose to work with me, you're choosing on-time delivery, clear communication, and end-to-end support throughout the project. Let's not delay your project further. Choose me today and I promise to demonstrate a working system that surpasses your expectations.

@shayankhan333

Hi, I will review your existing Agentic AI code, identify the frameworks and dependencies, set up the environment with the right API keys, fix any runtime errors, and deploy it on your server with a working demo and basic docs. I have worked with LangChain, LangGraph, and the OpenAI API on Python and Node.js agent projects. I can start today. For deployment, I will use a Linux VPS with proper process management so the agent stays running and restarts cleanly after reboots. Questions: 1) Which server or cloud provider should I deploy to? 2) Is the code in a GitHub repo I can access? Looking forward to discussing further. Regards, Shayan.

@jafarali14

Hi there, This is a good fit for my experience because the project is already built and the priority is getting the Agentic AI system understood, configured, debugged, and running reliably rather than rebuilding it. I can work through the existing code systematically and identify dependency, environment, API, and runtime issues. I have 8+ years of experience with Node.js, Express, NestJS, MongoDB, MySQL, PostgreSQL, REST APIs, AWS, Linux deployments, and third-party integrations. I’m comfortable working with Python/Node.js AI applications, OpenAI APIs, agent workflows, structured outputs, environment configuration, Git/GitHub, and VPS deployment. My approach would be to first audit the repository and identify the framework/dependency stack, then set up the environment, configure API keys and services, run the application and tests, resolve runtime/dependency issues, and deploy it on the target Linux server. I’ll also verify the working agent flow and provide clear setup/deployment documentation. I’ve worked with AI/LLM integrations, background processing, API-driven applications, and production deployments, including troubleshooting existing codebases. I can start immediately and focus on getting the current system operational as quickly as possible. Best, Jafarali

@mahads31

As an experienced developer, I have the exact skill set required for your Agentic AI project. Not only am I proficient in both Python and Node.js, but I also possess a decent level of knowledge with AI technologies, a must-have for an Agentic AI project. Whether it's using frameworks such as LangGraph and LangChain or working with OpenAI API, I am accustomed to leveraging these tools to optimize the delivery of my work. Moreover, my experience with REST APIs and third-party AI APIs aligns perfectly with your project requirements. From reviewing existing code to setting up the project on the desired server environment and integrating all the necessary dependencies, I ensure smooth deployments through proper testing. In addition, my proficiency in deploying applications on Linux servers/cloud VPS will surely assist in successful implementation. Lastly, as you prioritize on swift completion of the initial setup phase, may I point out that punctuality is key to my work ethic? While delivering your project within set deadlines, I'll also provide comprehensive documentation that would enable easy understanding and access for future developments. Choose me as your technology partner – feel free to check out my previous projects for proof of my abilities – and let me help you unlock the immense potential of your Agentic AI model.

@Shrutibimpl

Hello, I can review debug configure and deploy your existing Agentic AI codebase on your Linux server. My plan is to audit your source code repository to map out all dependencies API routes and agent orchestration frameworks like LangGraph or LangChain. I can configure a clean local Python virtual environment or Node js runtime to resolve dependency version conflicts and fix any execution or prompt parsing errors. I can set up your environment configuration files for OpenAI and third party API keys. I can package the application using Docker or configure a systemd service on your cloud VPS to ensure stable execution. I can also deliver deployment instructions and demonstrate the live system. In a past project I debugged configured and deployed a Python and LangChain AI agent application on an Ubuntu VPS. 1) Is the existing Agentic AI codebase written in Python using frameworks like LangGraph or Node js? 2) What specific cloud VPS provider such as DigitalOcean AWS or Hetzner will host the deployed server? 3) Does the AI agent communicate through a web API a chat interface or a messaging bot ? Thanks, Bharat

@sumanm596

As a developer with extensive experience in both Python and Node.js, I'm well-positioned to take on your Agentic AI project. I understand the primary purpose of this project is not to build from scratch, but rather to review, configure, deploy, and troubleshoot an existing Agentic AI solution. With a deep understanding of Python and Node.js, experience with OpenAI API and other AI technologies, as well as deploying applications on Linux cloud VPS like you require – I can assure you that I'll start delivering value from day one. At our firm, we are proponents of design-driven technology solutions that balance clean UI/UX with strong engineering and modern architecture. We believe this approach will particularly suit your expectations for a reliable, scalable, and high-quality digital product. Additionally, our proficiency in using cloud platforms like AWS makes me confident about providing flexible deployment options while maintaining security in safeguarding the AI-generated code. Furthermore, my experience working with startups and growing businesses uniquely equips me to handle projects such as yours. We understand the needs of entrepreneurs, founders, and product teams at different stages of their journey – right from early MVPs to scaled production systems. I assure you clear communication throughout the process along with clean code and a long-term partnership-focused approach. Don't hesitate to reach out – let's make your project a success!

@AhmadXpert2410

Hi there, I understand you already have the Agentic AI codebase and need someone who can quickly take it from an AI-generated project to a reliably running application. I can review the existing Python/Node.js architecture, identify dependencies and framework requirements, configure environment variables and API credentials, and troubleshoot the runtime issues preventing the system from running correctly. My approach is to reproduce the project locally first, trace the agent execution flow, resolve dependency/API/configuration problems, and then deploy the working application to your Linux server or VPS. I have hands-on experience with Python, Node.js, REST APIs, OpenAI integrations, LangChain/LangGraph-style agent workflows, Git, and production deployment, with particular attention to diagnosing issues in existing AI-generated code rather than unnecessarily rewriting it. I can start immediately and focus on getting the current system operational as quickly as possible. Along with the deployment and working demonstration, I'll provide concise documentation covering setup, environment variables, dependencies, startup commands, and redeployment so your team can operate the application independently. Regards, Ahmad

@anshumanvermaUK

Hi, I can review your existing Agentic AI code, configure dependencies/API keys, resolve runtime issues, and deploy it on a Linux/VPS environment. I have experience with Python, Node.js, REST APIs, LLM integrations and AI-agent workflows, and can provide clear setup/deployment documentation.I am available to start Thanks Anshuman

@sonika1419

**DO NOT PAY ME UNTIL I COMPLETE! :)** Hello my valuable client :) I can definitely work on your working hours. 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. 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.

@Ibrahimtayyab989

Hi there, Fixing, configuring, and deploying an AI-generated Agentic codebase requires a specific skill set—you need someone who understands the exact architecture of LangChain and LangGraph to resolve dependency conflicts quickly without breaking the logic. I specialize in building and deploying AI application architectures, specifically Retrieval-Augmented Generation pipelines and General Agents using Python and Node.js. Since you don't need this built from scratch, here is exactly how I will execute this: ✅ Code Audit & Environment Setup: I will review the existing source code to map out all dependencies, API keys (OpenAI, etc.), and resolve any versioning conflicts. ✅ Troubleshooting Runtime Errors: AI-generated code often has broken loops or missing environment variables; I will debug and stabilize the system. ✅ Deployment & Handoff: I will deploy the application on your Linux VPS, ensure it runs flawlessly, demonstrate the working system, and provide basic documentation for future reference. I am an AI Engineering specialist ready to jump into this codebase immediately and get your Agentic AI running smoothly. Let's connect in the chat and review the repository! Best Regards, The AI Development Team © Sofint Solutions

@abhishek060

I can help you review, configure, troubleshoot and deploy your existing Agentic AI project without unnecessarily rebuilding it from scratch. I have 10+ years of full-stack development experience with Python, Node.js, REST APIs, OpenAI integrations, Docker, Git/GitHub, AWS and Linux server deployments. I’m comfortable working with AI-generated code, identifying dependency conflicts, fixing runtime issues and making existing projects production-ready. I can handle: • Audit the existing Python/Node.js codebase and identify the stack • Install and resolve packages, dependencies and version conflicts • Configure environment variables, API keys and third-party services • Troubleshoot Agentic AI workflows and runtime errors • Work with LangChain, LangGraph, OpenAI APIs or similar agent frameworks • Configure Linux/VPS or cloud server environments • Deploy and verify the application end-to-end • Test APIs, agent workflows and integrations • Provide clear setup and deployment documentation My approach is to first understand the existing architecture, reproduce the current issue, fix only what is necessary, then deploy and validate the complete workflow. I can start immediately and focus on getting the existing Agentic AI system running quickly so you can test it. Please share the GitHub repository and current deployment/setup errors, and I can begin with the code audit.

@alluankit01

Hi, I can review your existing Agentic AI code, fix setup/runtime issues, configure dependencies/API keys, and deploy it on a Linux VPS/server for testing. My approach will be to inspect the repo, identify the Python/Node.js stack, packages, LangChain/LangGraph/OpenAI or related agent framework, prepare the .env setup, install dependencies, resolve errors, run locally, then deploy using PM2, Docker, systemd, or Nginx as suitable. I’m comfortable with Python, Node.js, REST APIs, OpenAI/AI APIs, LangChain, LangGraph, AI agent workflows, Git/GitHub, Linux VPS deployment, dependency debugging, and AI-generated code cleanup. Deliverables: * Codebase review * Dependency/framework identification * Local/server setup * Environment/API key configuration * Runtime error fixes * Deployment on VPS/server * Working system demo * Basic setup/deploy README * Handover notes I can start immediately and focus on getting the existing project running quickly, cleanly, and reliably rather than rebuilding from scratch. Best regards Ankit

@tyronet2

You need an existing Agentic AI project reviewed, configured, troubleshot, and deployed rather than rebuilt from scratch. I’m a senior full-stack engineer with 9+ years of production experience in Python, Node.js, REST APIs, Linux/cloud deployment, LangChain, and AI agent systems. At Marin Software, I worked directly with serverless Python, AWS Lambda, LangChain AI agents, and real-time pipelines, including configuring production environments and resolving integration issues. I can audit the existing repository, identify the Python/Node frameworks and dependency versions, configure environment variables and AI API credentials, reproduce and fix runtime/dependency problems, then deploy the working application to your Linux VPS or cloud environment. I’ll also verify the agent workflow through the actual API/application flow rather than stopping once the server starts, and provide a concise README covering setup, environment variables, deployment, and restart procedures.

@thiagofoz87

I can help you get the existing Agentic AI project running reliably, identify the current stack and dependencies, resolve setup/runtime issues, and deploy it into a stable server environment for testing and validation. Based on your description, the critical part is not building new features, but understanding AI-generated code quickly, stabilizing the environment, and handling dependency/configuration issues that commonly appear in LangChain/LangGraph and OpenAI-based projects. I have experience working with Python, Node.js, REST integrations, cloud deployments, Docker/Linux environments, API configuration, and troubleshooting distributed applications. My approach would be: - Review the repository structure, dependencies, and architecture. - Configure local/server environments and validate package compatibility. - Resolve runtime/import/version issues. - Configure API keys, environment variables, and external AI integrations. - Deploy the application on a Linux VPS/cloud server. - Validate workflows, agent execution, and API communication. - Deliver concise documentation covering setup, deployment, and execution. I can start immediately and prioritize a fast initial deployment so you can begin testing the system quickly. If needed, I can also help improve deployment reliability, logging, and environment reproducibility using Docker or process managers.

@artifactgeeks

Hi, I can help you audit, configure, troubleshoot and deploy your existing Agentic AI project without rebuilding what is already working. I’ll start by reviewing the existing Python/Node.js codebase, frameworks, dependencies, AI integrations and project architecture to understand exactly what is required. From there, I’ll set up the development/deployment environment, resolve dependency or runtime issues, configure API keys and environment variables, and make sure the complete workflow runs reliably. I can work with: * Python / Node.js * LangChain / LangGraph * OpenAI and other LLM APIs * AI Agent workflows * REST APIs and third-party integrations * Git / GitHub * Linux / VPS environments * Environment and dependency configuration * Production deployment and troubleshooting Once deployed, I’ll thoroughly test the agent workflows and integrations and provide a working demonstration to verify that everything is functioning as expected. I’ll also provide basic setup and deployment documentation so your team can easily run, maintain and redeploy the project when required. I can start immediately and prioritize the initial audit and setup to get the existing project running as quickly as possible. Ready to review the codebase and get started.