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$
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I will build custom ai agents, multi agent systems and mcp servers
Sahil Shehzad
About this gig
Custom AI agents, multi agent systems and MCP servers, built production-grade to run on your real data, tools and volume.
I lead agentic AI engineering for a UK enterprise platform where specialist agents analyse 1 GB document sets with zero sampling. Your AI agent gets the same architecture.
What you get:
- AI agents with tool calling, memory, RAG and guardrails
- Multi agent systems: planner, researcher, executor and reviewer agents
- MCP servers that connect Claude, ChatGPT or Cursor to your systems
- Agentic AI automation across CRM, email, Slack, databases and APIs
- Document AI: PDFs, spreadsheets and scans into structured data
Why clients choose me:
- Delivery in as little as 2 days
- A free architecture plan before you order
- Claude, OpenAI GPT or Gemini, picked per task for accuracy and cost
- Python, TypeScript, LangChain, Supabase, AWS or your stack
- Evaluation tests, logging and retries on every build
- Full source code, docs and a walkthrough video
Message me the workflow your team repeats every week. I'll reply with the agent architecture I'd build, free.
Get to know Sahil Shehzad
Sahil Shehzad
AI Systems Architect, Full Stack AI Developer, AI Agents and RAG
- FromPakistan
- Member sinceJan 2026
- Avg. response time4 hours
- Last delivery1 month
Languages
Urdu, English
I architect and build production AI systems end to end: the infrastructure, the agents, and the product your users touch.
Today I build the AI platform behind a UK document intelligence product: multi-agent pipelines that analyse 1 GB tender packs with zero sampling, RAG over pgvector, running on AWS.
What I build:
- Custom AI agents and multi-agent systems
- RAG chatbots and AI voice agents
- n8n automation and MCP integrations
- Full-stack AI SaaS on Next.js and Supabase
Every build ships with error handling, logging and docs.
Send me the problem. I'll send back the architecture.
Other AI Development Services I Offer
FAQ
Which AI models and frameworks do you use?
Claude, OpenAI GPT and Gemini, chosen per task on accuracy, speed and cost, with LangChain or lean custom orchestration. Everything runs on your own API keys, so you keep full control of your data and spend.
What is an MCP server, and do I need one?
MCP (Model Context Protocol) lets Claude, ChatGPT and Cursor use your tools and data safely. If you want your team to query your CRM, database or internal API through an AI assistant, an MCP server is the clean way, with scoped permissions.
How do you stop the AI agent from making things up?
Strict tool boundaries, validated JSON output, retrieval from your own data and evaluation tests before delivery. Where a wrong answer is costly, the agent hands over to a human instead of guessing, and every action is logged.
Can the agent connect to my existing tools?
Yes. Anything with an API or webhook: CRMs, databases, Google Workspace, Slack, email, Airtable, Supabase and custom backends. If a tool has no API, I'll tell you before you order and suggest a reliable alternative.
Where does it run, and who owns it?
On your accounts: AWS, a VPS, Supabase, n8n or your backend. You own everything I build, including code, prompts and docs. Model and hosting costs are billed to you by the providers, and I estimate them upfront.
Should I message you before ordering?
Yes. Send the workflow, the tools involved and what a good result looks like. I'll reply with a free architecture plan, the right package and a timeline, or a custom offer if your project sits between packages.
