AI Systems Engineer for OpenClaw Integration

@Mahihassi

Having spent many years blending AI development with backend and devops engineering, I offer a unique encoder experience that meets your core needs. My core skills in Linux server management, VPS provisioning and especially Docker compose align perfectly with your infrastructure requirements. I also bring to the table my expert reverse proxy setup capabilities and SSL/TLS configuration proficiency. Security being a top priority for me, I'm well-versed in server hardening and formulate and led an access control protocol which could be usefully applied here. Besides this, I have had significant prior exposure to working with major AI models via API integration - including OpenAI (GPT models) and Anthropic (Claude models). This includes everything from API integration (REST/SDK), token usage optimization to setbacks like handling latency, failures, and retries. My experience as an AI automation practitioner with "OpenClaw", LangChain, AutoGPT, CrewAI etc., further helps me in commanding an understanding of various agent workflows, tool calling tasks executing as well as memory handling. Another reason why I believe I am suitable for this project is my comprehensive set of tech stack skills that include Node.js Python React . Over the years my proficiency over these techs has equipped me to handle conducive messaging systems verily establish API-redolent integration handle basics controls route chats data visualization sessions history unequivocally deftness.

@vishal1145

Your OpenClaw deployment will fail if you don't implement proper rate limiting and fallback logic between OpenAI and Claude. Most engineers treat this like a simple API call, but when your agent starts executing autonomous tasks at scale, you'll hit quota limits that brick the entire system during critical operations. To architect this correctly, I need clarity on two things: What's your expected task execution frequency (are we talking 100 requests/day or 10K/hour)? And does your VPS budget allow for Redis caching to store conversation context, or are we optimizing for stateless operations? Here's the architectural approach: - DOCKER + NGINX: Build a containerized deployment with reverse proxy handling SSL termination, implementing health checks that auto-restart containers if the agent becomes unresponsive. - OPENAI + CLAUDE ORCHESTRATION: Set up intelligent model routing where cheap tasks (GPT-3.5) handle simple queries and expensive models (Claude Opus) only trigger for complex reasoning, reducing API costs by 60-70%. - TELEGRAM BOT API: Implement webhook-based message handling with idempotency keys to prevent duplicate command execution when users spam the bot during network delays. - NODE.JS + LANGCHAIN: Build the agent framework with tool-calling capabilities, persistent memory using PostgreSQL, and retry logic that switches providers if one API times out. - UBUNTU SERVER HARDENING: Configure UFW firewall rules, fail2ban for SSH protection, and environment variable encryption so API keys aren't exposed in process lists or logs. I've deployed 8 production AI systems running on VPS infrastructure, including one that processes 50K autonomous tasks monthly without downtime. I don't take on projects where the security model is an afterthought. Let's schedule a 20-minute technical call to discuss your task execution patterns and failure scenarios before we architect the deployment.

@ashinnd84

Hello there, we are a team of Full Stack developers and we can Web application. Please, send me the project complete details to start the work and finish in no time. Thanks Ashish Kumar.

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@Srashtasoft

Hi there, I have read your project requirement. You need a hands-on AI Systems Engineer to deploy and manage a self-hosted AI agent (OpenClaw) on a VPS, with strong expertise in DevOps, LLM integrations (OpenAI/Claude), Telegram bot integration, backend orchestration, and optional dashboard development. The system must be secure, scalable, and capable of handling autonomous workflows, tool execution, and multi-model routing. We have strong experience in deploying production-grade AI systems on VPS/cloud environments, integrating LLM APIs with optimized routing strategies, and building secure, containerized infrastructures using Docker, Nginx, and SSL setups. We can handle full lifecycle—from server provisioning to agent orchestration and UI/dashboard integration. A few questions: ============= Do you already have a preferred VPS provider (AWS, Hetzner, DigitalOcean) or should we recommend based on workload? Should the agent support multi-model routing from day one or start with a single model and expand later? Do you need a full-featured dashboard (chat + logs + controls) in this phase or a minimal interface? Are there any specific tools/services the agent must integrate with initially (beyond Telegram)? Best Regards, Srashtasoft Team

@MIndlabsAi6

Hello, I am Vishal Maharaj, with 20 years of expertise in Amazon Web Services, API Integration, OpenAI, Node.js, AI Development, Java, and Ubuntu. I have carefully reviewed your requirements for the AI Systems Engineer role and am confident in my ability to design, deploy, and optimize the self-hosted AI agent (OpenClaw) on a VPS. To achieve this, I will leverage my experience in DevOps, LLM integration, AI agent frameworks, backend development, and messaging integration. I will ensure secure server deployment, efficient API integration, and seamless orchestration of AI models to meet the project's demands. I am eager to discuss your project further and explore how I can contribute to its successful completion. Please initiate a chat to delve deeper into the project requirements. Cheers, Vishal Maharaj

@loxtic

Hi, how are you doing? I have solid hands-on experience with Linux server ops, VPS deployment, Docker workflows, and securing services for production. I’ve integrated AI models via APIs, built automation pipelines, and connected messaging bots to backend agents with dashboards and basic UI. I can design, deploy, and harden a self-hosted AI agent stack, optimize model routing, and handle tool calls, memory, and task execution flows. I can demo prior setups on request and align with your OpenClaw/LLM orchestration needs. Let me know the next steps if you’re interested.

@rbtech1984

Hello There!!! ★★★★ (Self-hosted AI agent deployment with secure LLM orchestration & VPS setup) ★★★★ I understand you need a production-ready OpenClaw AI agent deployed on VPS with strong DevOps setup, multi-LLM integration, Telegram bot, and a dashboard. Focus is on secure, persistent system with real-time workflows and automation. ⚜ VPS setup (AWS/Hetzner) with Ubuntu hardening ⚜ Docker & Compose based deployment ⚜ Nginx reverse proxy + SSL config ⚜ OpenAI & Claude API integration with routing ⚜ Telegram bot with webhook integration ⚜ Agent workflows (LangChain/CrewAI style) ⚜ React dashboard with chat & logs I have solid exp in backend + DevOps with AI integrations, building automation systems and deploying secure enviroments. I really enjoy working on agent-based systems. I’ll use Node/Python with Docker infra, implement smart model routing, retries and secure API handling. Clean UI for control and logs also. Let’s connect to discuss your OpenClaw setup deeper. Warm Regards, Farhin B.

@MauricioB30

Hi, I’m a DevOps and Systems Engineer with over 4 years of experience deploying and managing production systems on cloud and VPS environments, working with clients such as EY and MercadoLibre (the largest e-commerce platform in Latin America). I have strong hands-on experience with Linux servers, Docker, reverse proxies (Nginx), SSL/TLS, and secure infrastructure setups. I’ve worked with AWS, Azure, and custom VPS deployments, so setting up and hardening your OpenClaw environment is something I’m very comfortable with. On the AI side, while working at MercadoLibre, I helped bring ML models into production, including fraud detection and return prediction systems. This gave me real experience integrating AI services, handling APIs, and designing reliable pipelines. As a Systems Engineer, I also have backend experience (Python/Node.js) and I’m familiar with LLM integrations (OpenAI, Claude), including API usage, retries, and performance considerations. I understand how to structure agent workflows, tool execution, and system orchestration. Recently, I worked on migrating a monolithic system to a microservices architecture on AWS, and I’ve also deployed and configured full server environments (including projects like AzuraCast). I’m confident working across the full stack: infrastructure, backend, and AI integration. If it sounds aligned, I’d be happy to discuss your setup and start building a secure, production-ready system. Best regards, Mauricio

@avinashdubeyg209

Noticing your need for a hands-on approach in the role, my recent project where I optimized an OpenAI-based autonomous agent on a VPS might align well. With expertise in both LLM integration and DevOps, I understand the complexities of combining platforms like Telegram and real-time dashboards. How are you envisioning the task execution workflows to interact with the web-based dashboards? Let me know if you'd like to discuss the architecture more in detail. Can start today.

@nemanjam61

Hello, I have extensive experience with Docker containerization, Nginx reverse proxy configuration, and LLM API integrations including OpenAI and Claude. I've built persistent autonomous systems with Telegram bot interfaces, webhook handlers, and real-time task execution pipelines on Ubuntu VPS environments. For OpenClaw, I'd propose using Docker Compose for service orchestration with a FastAPI backend handling LLM routing, Redis for state persistence, and Nginx with Certbot for SSL termination. For the dashboard, would you prefer a lightweight solution like Streamlit or a custom React frontend? Let's discuss!

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. With over 10 years of experience in developing and integrating AI systems, including strong DevOps and LLM integration capabilities, I have successfully deployed and optimized autonomous AI agents on VPS platforms. My background includes hands-on experience with Linux server management, particularly with Ubuntu, alongside Docker for containerization and Nginx for reverse proxy setups. I am proficient in API integration with leading LLMs like OpenAI and Claude, ensuring efficient token usage and performance. Additionally, I have built secure automation systems, integrating messaging platforms such as Telegram, and can create customized web dashboards using React or Next.js. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1. Do you have specific requirements for the messaging workflows? Do you have specific requirements for the messaging workflows? Let’s discuss over chat! Regards, Arpit

@souravsasmal14

I hands-on experience in backend development and DevOps, I believe I am the perfect fit for your project as an AI Systems Engineer. I understand your need for a robust self-hosted AI agent, and my strong suite of skills in Linux, Node.js, Ubuntu, and AI Development will be instrumental in building this autonomous system. From VPS provisioning to SSL/TLS configuration and handling API integration, I've got you covered. My deep understanding of containerization using Docker and orchestration with tools like Nginx have allowed me to deploy secured servers even under demanding circumstances. Moreover, my familiarity with various LLM models—such as GPT and Claude—gives me an edge in orchestrating your multi-model AI system efficiently. I have proven experience in optimizing token usage, dealing with latency, failures, and implementing routing strategies based on performance-versus-cost trade-offs. Additionally, my proficiency in webhooks including those of Telegram Bot API enables skillful messaging integration – an important aspect of the project.

@aprkdream

Hi, I'm excited to help you design, deploy, and optimize a self-hosted AI agent (OpenClaw) on a VPS. I understand the role involves building a persistent, autonomous AI system that integrates LLMs, messaging platforms, web-based dashboards, and task execution workflows. I'll approach this project using a combination of Linux server management, VPS provisioning, and containerization using Docker and Docker Compose. I'll ensure a secure setup with Nginx as the reverse proxy, SSL/TLS configuration, and firewall rules. With my experience in payment integrations and SaaS platforms, I'm confident in handling complex backend systems and third-party API integrations. I'll integrate LLMs like OpenAI and Claude, messaging platforms like Telegram, and web-based dashboards to create a seamless AI system. I've built and deployed multiple AI-powered systems, including chatbots and automation workflows, using technologies like WordPress, Android, iOS, Flutter, and React. My expertise in DevOps and infrastructure will ensure a smooth deployment and optimization of OpenClaw on your VPS. Key features will include a self-hosted AI agent, LLM integration, messaging platform integration, web-based dashboard, and task execution workflows. I'll also ensure proper security measures, including SSL/TLS configuration and firewall rules. Optional edge cases include integrating multiple messaging platforms, handling high traffic volumes, and implementing advanced security features. I'll work closely with you to understand your requirements and deliver a tailored solution that meets your needs. I'm confident in delivering a high-quality AI system that meets your requirements. I'd like to clarify, will there be any existing infrastructure or will everything be set up from scratch? I can deliver this in 10 days.

@jimkyleb

Hello there, I read your OpenClaw integration brief and see you want a self-hosted, autonomous AI agent on a VPS with solid DevOps, multi-LLM routing, and Telegram/web UI bridges. I’ll help you deploy a robust stack on Ubuntu using Docker, Nginx, and TLS, with careful hardening and a resilient, multi-model orchestration path. A key risk is securing API keys and controlling permissions as commands are executed; batching tasks or escalating privileges must be safeguarded to prevent leakage or misuse. I’ll design role-based access, restricted env vars, and encrypted storage, plus strict rate limits and audit trails to catch anomalies early. From practical experience, I’d start with a tight CI/CD pipeline for image builds, image signing, and environment promotion to production, plus a health-checked deployment with automated rollback on failures. I’ll implement a multi-model routing strategy that steers cheap models for simple intents and primes high-performance models for complex tasks, with circuit breakers for latency spikes. A deeper technical improvement is implementing a memory model with serializable context buckets and a deterministic task queue, plus idempotent tool calls and replay-safe logs to recover from partial failures without replaying side effects. This improves reliability and traceability in production. I’m ready to proceed and align on scope, milestones, and security guardrails to get you live quickly while keeping guardrails tight. Thanks, Jim.

@engrnaib

Hi, Are you looking for someone who can design and deploy an AI system that integrates seamlessly with messaging platforms and workflows? I have extensive experience in DevOps and AI model integration, particularly with LLMs like OpenAI and Claude. I’ve successfully managed VPS deployments on platforms such as AWS and DigitalOcean, ensuring secure server setups using Nginx and SSL configurations. My background includes API integration and optimisation strategies, as well as experience with automation frameworks like LangChain and AutoGPT. I can also build a responsive dashboard using React for an optimal user experience. With over 3 years in backend development and DevOps, I am confident in executing commands safely and effectively. Let’s discuss how I can bring your vision to life! Best Regards, Naib.N

@Lazarone1

Hi, that’s great to hear! Your project closely aligns with one I recently worked. In that project, I built a self-hosted autonomous AI agent system using Docker, Nginx, and secure VPS provisioning with OpenAI and Claude integrations, along with Telegram bot connectivity, persistent workflows, and a custom React-based dashboard. It involved orchestrating multiple LLMs, routing logic, API optimisation, and building tool-execution pipelines that mirror your OpenClaw requirements. I’d be glad to connect and share my experience in more detail over chat. Thank you. Best regards, Lazar

@engruhulajom

Dear Client, I'm an experienced full-stack developer and DevOps engineer specializing in AI integration, LLM orchestration, and cloud infrastructure, with over 10 years of production deployment experience. I understand you're building OpenClaw — a self-hosted, autonomous AI agent on a VPS integrating LLMs, Telegram, and a web dashboard. I've delivered similar AI-powered automation systems with multi-service architectures. My skills in Docker, Linux, Nginx, SSL, OpenAI/Claude APIs, Node.js, Python, React, and Telegram Bot API make me fully equipped to deliver this confidently. Could you share your current VPS setup and whether any existing codebase or agent framework is already in place? Looking forward to hearing from you. Best regards, Md Ruhul Ajom

@mobiwebsolutions

✋ Hi There!!! ✋ THE GOAL OF THE PROJECT:- DESIGN AND DEPLOY A SELF HOSTED AI AGENT SYSTEM WITH LLM INTEGRATION, DEVOPS INFRASTRUCTURE, AND TELEGRAM BASED AUTOMATION WORKFLOWS. I have carefully read and understood your complete requirement including VPS deployment, LLM orchestration, secure agent execution, and building a production ready AI automation system rather than a simple chatbot. I am best fit for this project because I specialize in DevOps architecture combined with AI integrations and scalable backend automation systems. 1. VPS setup with Docker, Nginx, SSL configuration, and secure Linux server hardening 2. LLM integration with OpenAI and Claude APIs including routing, token optimization, and fallback handling 3. Telegram bot integration with backend agent system for real time automation workflows I will provide UI design if needed, backend architecture, database management, testing, deployment, and full source code delivery at completion. I have 9+ years experience as a full stack developer and have worked on AI automation systems, cloud deployments, and API driven agent frameworks. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!