AI Systems Engineer for OpenClaw Integration

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you need a hands-on AI systems engineer to deploy and run a self-hosted OpenClaw-style agent on a VPS, integrating multi-model LLM routing, Telegram messaging, task execution workflows, and a dashboard with secure infrastructure. I’d approach this by first provisioning and hardening the VPS (Docker, Nginx, SSL), then building the agent orchestration layer with model routing and memory, followed by Telegram integration and a lightweight React dashboard for control, logs, and session history. I’ve worked on AI-driven automation systems with VPS deployments, containerized services, API integrations, and messaging-based workflows where reliability and security were critical. I’d be happy to review your preferred stack and set up a production-ready architecture. I have a few questions to get a better understanding: Q1 – Do you already have a preferred VPS provider and base architecture, or should I design the full deployment (Docker services, reverse proxy, agent containers)? Q2 – Should the OpenClaw agent execute system-level tasks immediately, or start with restricted tool permissions for safer rollout? Q3 – Do you want the dashboard focused on chat + logs only, or also include task queue management and model routing controls? Looking forward to hearing from you.

@techplusintl

Hi, To design and deploy a self-hosted AI agent, I'll leverage my expertise in DevOps and backend integration. This will include: - Setting up and securing the VPS with Docker and Nginx. - Integrating LLMs via API and optimizing token usage. - Building a web-based dashboard for task execution workflows. - Implementing messaging integration with Telegram. I will follow a structured approach to ensure all components work seamlessly together, focusing on security and performance. Ready to start once you provide access to the VPS and any specific requirements. Thanks!

@softsolution2000

I understand you are looking for an AI Systems Engineer with expertise in DevOps, LLM integration, and backend skills for the OpenClaw integration project. My experience includes real production deployment, API integration, and automation systems. I am confident in Linux server management, AI model integration, and building UI dashboards. I have worked with VPS provisioning, Docker, Node.js, and messaging platforms like Telegram. Security is a top priority for me, and I am eager to discuss further details to ensure the success of this project. Let's connect to align on the project scope and requirements.

@kamran2012

Hello, I will deploy and configure your OpenClaw agent on a hardened VPS — Docker Compose orchestration, Nginx reverse proxy with SSL, firewall rules, and Telegram bot integration wired into the backend agent system. For multi-model routing, I will implement a tiered strategy where lightweight queries hit GPT-3.5 and complex reasoning tasks escalate to Claude or GPT-4 — with token budgets, retry logic, and latency-based failover built into the orchestration layer. This keeps costs low without sacrificing output quality on tasks that demand it. Questions: 1) Is OpenClaw already partially deployed, or will this be a fresh setup on a new VPS? 2) For the dashboard — do you need full session history and log viewing, or is a minimal chat interface sufficient for now? Send me a message and we can go over the details. Best regards, Kamran

@iosifpeterfi

I'm Iosif Peterfi, 15+ years building secure, scalable platforms for enterprise teams with a calm, results-driven approach. This is my speciality: turning ambitious AI automation on self-hosted infrastructure into reliable, production-ready systems that balance performance, security and governance. You're seeking a hands-on AI Systems Engineer to design, deploy, and optimize a self-hosted OpenClaw agent on a VPS, integrating LLMs, Telegram, web dashboards and end-to-end task workflows, with strong DevOps, security, and multi-model orchestration. Here's how I'll deliver and the business value: secure VPS provisioning with hardening, containerized deployment, a robust reverse proxy with TLS, and disciplined access control; seamless LLM integration across providers with cost-performance routing; a resilient agent framework handling tool calls, memory and workflows; a connected backend and dashboard plus Telegram bot for real-time interaction; governance, logging, and alerts to reduce risk. Milestones: baseline environment, LLM integration plan, agent orchestration, dashboard/bot integration, security hardening, go-live readiness. Risk is reduced by phased rollout, automated checks, and continuous monitoring to ensure reliability and compliance. Recently I helped a financial services client deploy a self-hosted AI agent that orchestrated internal tasks via a Telegram bot. We cut manual task load by 40% and improved incident response time by 60%. 4-6 weeks.

@gattes

Hi there, I have over 10 years work experience with Linux and server management as well as deploying LLMs/OpenClaw models on servers and I think I can definitely help you. Ping me! Cheers

@vishal1145

Your OpenClaw deployment will fail if you don't implement proper rate limiting and fallback logic between OpenAI and Claude. I've seen agents burn through $500 in API costs overnight because they lacked token budget controls and retry exponential backoff. To architect this correctly, I need clarity on two things: What's your expected request volume per hour so I can size the VPS and configure Docker resource limits? And are you planning to store conversation history in-memory or do you need Redis/PostgreSQL for session persistence across container restarts? Here's the deployment strategy: - DOCKER + NGINX: Build a multi-container setup with OpenClaw agent, Telegram webhook handler, and React dashboard behind Nginx reverse proxy with Let's Encrypt SSL auto-renewal to prevent certificate expiration downtime. - LLM ORCHESTRATION: Implement a routing layer that sends simple queries to GPT-3.5-turbo and complex reasoning tasks to Claude Opus, with circuit breakers that switch to backup models when primary APIs hit rate limits or return 429 errors. - TELEGRAM BOT API: Set up webhook-based message handling with idempotency keys to prevent duplicate command execution and implement command queuing using Bull/Redis to handle traffic spikes without dropping requests. - SECURITY HARDENING: Configure UFW firewall rules, disable root SSH login, implement API key rotation via AWS Secrets Manager, and sandbox agent execution using Docker user namespacing to prevent privilege escalation. - MONITORING: Deploy Prometheus + Grafana to track token usage per model, API latency percentiles, and container resource consumption so you can optimize costs before they spiral. I've deployed 7 LLM-powered systems including a multi-agent workflow that processed 2M API calls monthly without outages. I don't build prototypes that break under load. Let's schedule a 20-minute technical call to review your agent's tool-calling requirements and failure scenarios before committing to infrastructure specs.

@OscarMozo

Hi, I can help you with this. I am a developer with extensive experience with automations and integrations. I've helped clients with similar projects. Let me know your interest, Sincerely, Nicolas

@juanjosec63

Hi, I have strong experience in Linux, Ubuntu, Node.js, Python, Docker, Nginx, VPS deployment, DevOps, API integration, and AI agent systems using OpenAI, Claude, Telegram, and automation frameworks. I’ve worked hands-on on self-hosted AI systems where secure VPS deployment, containerized services, reverse proxy setup, model routing, webhook integrations, agent workflows, and backend-to-dashboard communication all had to work together reliably, so I can take ownership of an OpenClaw-style setup and make it stable, secure, and production-ready. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@justinw45

Hello, I understand that you are seeking an AI Systems Engineer with strong DevOps and LLM integration experience to design, deploy, and optimize a self-hosted AI agent (OpenClaw) running on a VPS. The project involves integrating LLMs, messaging platforms, web-based dashboards, and task execution workflows to build a persistent, autonomous AI system. I have extensive experience in Linux server management, VPS provisioning, Docker, Nginx, SSL/TLS configuration, firewall setup, and server hardening. Additionally, I have direct experience integrating AI models via API, handling token usage optimization, model selection logic, and multi-model orchestration strategies. With proficiency in backend development using Node.js and Python, API design, webhook integration, and messaging systems, I am well-equipped to tackle the complexities of this project. My experience aligns closely with the core competencies required for this role, and I am confident in my ability to deliver impactful results. Best regards, Justin

@GameOfWords

As an AI Systems Engineer with over 3 years of experience, I strongly believe that my skills and qualifications are a perfect fit for your OpenClaw integration project. My proven expertise in full stack development, especially in WordPress, Java, Linux, and Node.js development, coupled with my deep understanding of Artificial Intelligence (AI) technologies will allow me to create a robust, reliable and high performing AI agent that seamlessly integrates LLMs. In my career, I have worked extensively on DevOps and Infrastructure management including Linux server, VPS provisionings (including Hetzner, AWS, DigitalOcean), Docker containerisation using Docker Compose and reverse proxy setups with Nginx . This experience is directly applicable to establishing and securing the VPS for the OpenClaw integration project. Let's begin building an advanced autonomous AI system tailored specifically to your needs keeping security at its core!

@AlexDeveloper911

Hey, I can start now. ✅ I’ve worked on something very similar. Building a persistent, autonomous AI system integrating LLMs, messaging platforms, and workflows can be challenging. What really matters here is seamless integration and secure deployment. I have hands-on experience with Linux server management, VPS provisioning, Docker, and API integration. While I haven't worked with OpenClaw specifically, I have expertise in similar agent frameworks and backend integration. Let's chat more details. -Alex

@Hubready

Hello! I am a Florida-based senior software engineer with extensive experience in AI development, DevOps, and system integrations. I’ve read your project description carefully, and I believe my skills align well with your needs for the OpenClaw integration. With over 15 years in the industry, I specialize in Java, Node.js, and AWS, ensuring a solid foundation for building scalable systems. My approach is both technical and practical, focusing on solutions that not only work but deliver real value. Could you please clarify the following questions to help me better understand the project? 1. What specific features do you envision for the LLM integration with OpenClaw? 2. Are there any existing systems or data sources that we need to integrate with? To achieve project success, I suggest starting with a detailed assessment of your current system architecture, followed by a phased implementation of the integration, ensuring thorough testing along the way. I’ve had success with similar projects, including building custom APIs for automation and developing intelligent workflow tools. Notable examples include a data processing platform for an e-commerce site and an AI-powered dashboard for an internal analytics tool. I’m excited about the opportunity to contribute and help your project thrive. Let’s discuss how I can bring your vision to life. Best, James

@nadeemkhan7

Proposal: With over 12 years of experience in DevOps, Java, and Amazon Web Services, I have the expertise needed to excel in the role of AI Systems Engineer for OpenClaw Integration. I have carefully reviewed the project requirements and believe that my skill set aligns perfectly with the core competencies required for this position. I am confident in my ability to deploy and secure servers, integrate AI models via APIs, and have experience with automation frameworks such as OpenClaw. I am eager to discuss your exciting project further and explore how I can contribute to its success. Please feel free to connect with me in chat so we can delve deeper into the specifics of the project and how I can bring value to your team. Thank you for considering my proposal.

@MIndlabsAi6

Hello, I am Vishal Maharaj, with 20 years of expertise in Amazon Web Services, API Integration, Node.js, AI Development, Java, and Ubuntu. I have carefully reviewed your project requirements. To integrate OpenClaw effectively, I will deploy a self-hosted AI agent on a VPS, integrating LLMs, messaging platforms, web dashboards, and task workflows. I will secure the server using Linux (Ubuntu), Docker, Nginx, and SSL/TLS. API integration with OpenAI and Anthropic models will be optimized for performance and reliability. I have experience with OpenClaw and similar agent frameworks, backend development in Node.js, and creating UIs with React/Next.js. With my skills in messaging integration, security protocols, and automation, I am well-equipped to deliver a robust solution. Let's discuss this further. Cheers, Vishal Maharaj

@loxtic

Hi, how are you doing? I have hands-on experience deploying robust Linux-based VPS setups with Docker, Nginx, TLS, and security hardening, plus integrating AI models via APIs and building automation around tasks and workflows. I’ve implemented backend services with Node.js/Python, API integrations, webhooks, and lightweight dashboards, and I’ve connected messaging platforms like Telegram to autonomous agents. I can demo prior self-hosted AI workflows and secure deployments; share details if you’d like to review relevant work. Let me know what you need next.

@gunslinger

This looks less like a typical AI integration and more like building a reliable system around LLMs in production, which is where most projects usually break. I’ve worked on similar setups combining VPS environments, Dockerized services, and LLM orchestration with proper routing, retries, and cost control, including integrations with APIs and messaging layers like Telegram. My focus is always making the system stable first, then optimizing latency, token usage, and failure handling so it can actually run autonomously without constant babysitting. I went through your requirements around OpenClaw style agents and multi model routing, and this is the kind of problem I’m comfortable owning end to end. Happy to jump in and get this running cleanly. Kindly contact me for further discussion.

@avinashdubeyg209

Noticed your focus on integrating LLMs like OpenAI and Claude with OpenClaw. Last month, I built a similar autonomous system integrating LLMs with web-based dashboards and messaging on Telegram. Optimised the deployment on a VPS using Node.js and handled task workflows efficiently. Could you share more about the specific tasks you envision for the AI agent, or any unique challenges you're anticipating with this integration? Let me know if you’d like a brief plan on how to approach this.

@abdf2010

Hey, I noticed your project, AI Systems Engineer for OpenClaw Integration and believe I can help. My work in Java has prepared me well for this kind of project. Looking forward to hearing your thoughts.