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You will get AI Agent Developer | OpenAI API & AI Automation
Rising Talent
Project details
A chatbot answers. An agent acts. It calls your APIs, reads the result, decides what to do next, and completes the task without anyone triggering each step. That is the gap between AI that demos well and AI that actually saves your team time.
As an AI agent developer I build custom AI agents that operate autonomously inside your product or workflow using the OpenAI API, Anthropic Claude, or Gemini as the reasoning layer. The agent receives a goal, breaks it into steps, calls the tools and APIs it needs, processes the results, and completes the task without manual involvement. This covers tool calling, agent memory, API access to external services, and branching decision logic based on what the agent finds.
For voice use cases, I build voice agents with VAPI that handle live customer calls, follow defined knowledge boundaries, and transfer to a human agent when needed. I have also built multi-agent systems running 30 simultaneous sessions and autonomous AI automation agents that process business data end to end.
You get a fully working AI agent inside your product, tested against actual tasks, with documentation covering how the agent operates and how to extend its tool set later
As an AI agent developer I build custom AI agents that operate autonomously inside your product or workflow using the OpenAI API, Anthropic Claude, or Gemini as the reasoning layer. The agent receives a goal, breaks it into steps, calls the tools and APIs it needs, processes the results, and completes the task without manual involvement. This covers tool calling, agent memory, API access to external services, and branching decision logic based on what the agent finds.
For voice use cases, I build voice agents with VAPI that handle live customer calls, follow defined knowledge boundaries, and transfer to a human agent when needed. I have also built multi-agent systems running 30 simultaneous sessions and autonomous AI automation agents that process business data end to end.
You get a fully working AI agent inside your product, tested against actual tasks, with documentation covering how the agent operates and how to extend its tool set later
Chatbot Type
Productivity ChatbotDevelopment Technology
ChatGPT, GPT-3, Node.jsWhat's included
| Service Tiers |
Starter
$300
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 6 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Action Plan | - | - | - |
API Integration | - | ||
Bug Fixes | |||
Chatbot Flow Design | - | - | |
Conversation Script | - |
Frequently asked questions
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FM
Florian M.
May 21, 2026
Versel setup
I would like to sincerely thank you for the outstanding work and professional administration of the website. Overall, the entire collaboration turned out to be extremely positive, reliable, and highly professional from start to finish.
At the very beginning, communication was a little bit difficult and somewhat unstructured at times, which can naturally happen in more technical and complex projects. However, what truly stood out was the continuous improvement throughout the entire process. Communication became better and better over time, much clearer, more organized, and significantly more efficient.
As the project progressed, there were no misunderstandings anymore regarding the tasks or requirements. Everything was discussed properly, questions were clarified quickly, and the implementation process became very smooth and professional. It was obvious that great attention was given not only to the technical aspects, but also to understanding the actual goals and expectations behind the project.
One thing I especially appreciated was the willingness to improve communication and adapt during the collaboration. In the beginning, a few details required additional clarification, but afterward everything worked perfectly. The tasks were understood correctly, handled professionally, and implemented exactly as requested.
The final result was absolutely excellent. The website administration, technical adjustments, and overall execution were completed perfectly and fully met my expectations. Even smaller details were handled carefully, which clearly demonstrates professionalism, dedication, and technical expertise.
In the end, everything turned out very well, and I am genuinely satisfied with the entire experience. The collaboration improved continuously, communication became excellent, and the final implementation was simply outstanding.
For that reason, I am very happy to give a full 5-star rating and can highly recommend this service without hesitation. Thank you very much for the professional support, the patience throughout the process, and the excellent final results
At the very beginning, communication was a little bit difficult and somewhat unstructured at times, which can naturally happen in more technical and complex projects. However, what truly stood out was the continuous improvement throughout the entire process. Communication became better and better over time, much clearer, more organized, and significantly more efficient.
As the project progressed, there were no misunderstandings anymore regarding the tasks or requirements. Everything was discussed properly, questions were clarified quickly, and the implementation process became very smooth and professional. It was obvious that great attention was given not only to the technical aspects, but also to understanding the actual goals and expectations behind the project.
One thing I especially appreciated was the willingness to improve communication and adapt during the collaboration. In the beginning, a few details required additional clarification, but afterward everything worked perfectly. The tasks were understood correctly, handled professionally, and implemented exactly as requested.
The final result was absolutely excellent. The website administration, technical adjustments, and overall execution were completed perfectly and fully met my expectations. Even smaller details were handled carefully, which clearly demonstrates professionalism, dedication, and technical expertise.
In the end, everything turned out very well, and I am genuinely satisfied with the entire experience. The collaboration improved continuously, communication became excellent, and the final implementation was simply outstanding.
For that reason, I am very happy to give a full 5-star rating and can highly recommend this service without hesitation. Thank you very much for the professional support, the patience throughout the process, and the excellent final results
BB
Bryan B.
May 4, 2026
QUICK JOB: Update My Vercel Website
Hamza works FAST. Literally responded, accepted, and got the job done without any delay. Committed to quality and getting the tasks done exactly as instructed.
MH
Morten H.
Apr 29, 2026
Install postiz on vps
Very happy to work with Hamza. He was committed to achieve the desired result and even offered to add some details to the project after the job was done. 100% recommend.
RY
Riges Y.
Apr 4, 2026
Fix Railway Deployment for Next.js with Clerk Authentication
Hamza, was a pleasure to deal with, responsive, great communicator and excellent work quality.
About Hamza
Nextjs Developer | Nodejs Developer | OpenAI API Developer
100%
Job Success
Gujrat, Pakistan - 10:04 am local time
On launch day my AI customer support SaaS held 60 concurrent users with zero dropped sessions. I am a Next.js developer and Node.js developer who also works as an OpenAI API developer, with a 100% Job Success Score.
I build full stack SaaS products, AI integration systems, and deployments, then debug the ones that already shipped and started failing.
PROVEN RESULTS
- 100% Job Success Score, five-star feedback on every completed project
- AI customer support SaaS: 60 concurrent users on launch day, zero dropped sessions
- AI meeting platform: 30 live parallel sessions, each with its own active AI agent running throughout
- SaaS auth rebuild: protected routes open to anyone with the URL, locked down completely
- Deployment rescue: Railway Docker container dying on every push, traced and fixed, clean releases since
WHO I WORK WITH
- Founders building a new SaaS from scratch on Next.js and Node.js
- Teams with a live app that broke after launch or under real traffic
- Clients who need OpenAI API integration grounded in their own business data
- Developers who need deployment failures traced and fixed on Vercel, Railway, or a VPS
- Anyone taking over an AI-generated app that needs real engineering before launch
OPENAI API AND AI INTEGRATION
- AI chatbot development grounded in your content: a RAG pipeline pulls from a vector database of indexed documents so the AI answers from your business data, not from guesses. In plain terms, it only speaks from material you gave it.
- AI agent developer work: multi-step systems where the OpenAI API handles task reasoning in sequence, routes decisions through backend logic, and connects into APIs and data
- VAPI AI voice agents on that same RAG architecture so callers get answers from indexed company content, with out-of-scope questions routing cleanly to a human
- AI automation pipelines where OpenAI API output feeds into backend logic with retry handling and async jobs
- Node.js execution engines where OpenAI API, Anthropic, and Gemini run as native automation nodes with full dependency resolution
When an OpenAI API integration misbehaves, the root cause is almost always the backend architecture, not the model. Think of a vector database as a smart filing system for your AI. If it hands back the wrong file, the answer comes out wrong no matter how good the model is. I start with the retrieval layer: whether the right chunks are coming back and whether the backend handles retries when the OpenAI API returns a rate limit or timeout. Every integration I have debugged this way was fixable without touching the model.
FULL STACK SAAS DEVELOPMENT
- Next.js frontend built with the App Router and server components, and a Node.js backend (Express.js, REST API) through database, payments, auth, and deployment
- Multi-tenant SaaS with data isolation per tenant, RBAC, and encrypted credential management
- JWT with refresh token, Google and GitHub OAuth, Clerk, NextAuth
- Stripe payments and subscriptions
- Taking over half-built or AI-generated apps and bringing them to production standard
Cursor, Lovable, and Replit builds reach me after the demo passed and real users broke it. The generator handles the happy path and skips the rest: auth with no expiry or rotation, environment config that fails across deployments, and a backend with no real error handling. I fix what is actually broken and leave what does not need touching. The client ends up with an app that holds up under real traffic.
DEPLOYMENT AND DEBUGGING
- Vercel, Railway, and Render website deployment failures traced and fixed
- Docker and Docker Compose misconfigs, Node.js server crashes
- Nginx reverse proxy, SSL, GitHub Actions CI/CD on Linux VPS
- Full DigitalOcean VPS setup: Docker, Nginx, PM2, and CI/CD pipeline so every push deploys without manual steps
Most deployment failures stack two or three issues that only collide once live and never show up locally. A Next.js build that passes every local check but fails on Vercel usually has a dependency conflict, a misconfigured middleware function, or a server-side import that breaks only in production. A backend container dying seconds after starting on Railway almost always has an environment variable loading before it is defined. I trace through logs and config until the cause surfaces.
TECH STACK
- Next.js 14/15, React 19, TypeScript, JavaScript, Tailwind CSS
- Node.js, Express.js, PostgreSQL, MongoDB, REST API
- Docker, CI/CD, Linux, Nginx, PM2, DigitalOcean
- OpenAI API, Anthropic, Gemini, VAPI, RAG, Vector Database
- Clerk, NextAuth, JWT, OAuth, RBAC, AWS
LONG-TERM WORK
I take long-term contracts and retainer arrangements covering website deployment, AI integration, and ongoing product development. If your app is scaling and you need a developer consistently available, that is easy to structure once scope is clear.
Send the details. Scope, cost, and timeline confirmed before anything starts.
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Agent Architecture and Tool Planning
I map out the full agent logic including every tool the agent needs, the decision paths it will follow, VAPI configuration if required, and how it connects to your existing system before any code is written.
Agent Build and Tool Integration
I build the full agent including tool calling setup, memory configuration, API integrations, decision logic, optional VAPI voice layer, and the backend infrastructure that keeps it running reliably.