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Fiverr Pro
English
$
USD
I will build ai agent with rag function calling voice and your data
Abdullah Ahmad
Level 2
About this gig
Build a custom AI agent that understands your business, retrieves information from your own data, and performs real actions through external tools and APIs.
Whether you need an internal knowledge assistant, customer support chatbot, AI employee, sales assistant, or workflow automation agent, I'll help you build a production-ready solution tailored to your requirements.
I develop AI agents powered by modern LLMs with Retrieval-Augmented Generation (RAG), function calling, voice interactions, document processing, and integrations with your existing systems. Your agent can search PDFs, knowledge bases, databases, CRMs, APIs, and other business data while providing accurate, context-aware responses.
Depending on your selected package, I can also implement authentication, memory, multi-agent workflows, dashboards, analytics, and deployment to your preferred cloud environment.
Ideal for startups, SaaS products, enterprises, and businesses looking to automate workflows, improve customer experiences, or build intelligent AI-powered applications using their own data.
Get to know Abdullah Ahmad
Abdullah Ahmad
Software Engineer shipping daily for 620K users
Level 2
- FromPakistan
- Member sinceJan 2021
- Last delivery3 months
Languages
Urdu, English
Building a startup/product and need a reliable engineer to ship features fast? You may have come to just the profile.
Full-stack engineer, 4 YOE. Currently at Tapforce (US), building an EdTech product with 620K+ users. Previously at Dropella, Bayut (GCC proptech), NPC Labs (Web3), Nybble.
Tech stack: Node.js, PostgreSQL, MongoDB, Supabase, AWS, React, Next.js, MERN Stack, PERN Stack
I work within UK and US hours.
Among my clients
Nybble
NPC Labs
My Portfolio
FAQ
Q1. Which AI model do you use?
A: I usually use OpenAI GPT models, but I can also work with Claude or other LLMs depending on your use case, budget, and technical needs.
Q2. Can the chatbot answer from my own documents?
A: Yes. I can build RAG-based document Q&A so the agent answers using your files, policies, FAQs, knowledge base, or internal content.
Q3. Can the agent take real actions?
A: Yes. In the standard or advanced package, I can connect the agent to APIs so it can create records, update systems, trigger workflows, or call tools.
Q4. How do you reduce hallucinations?
A: I use grounded retrieval, scoped tools, clear prompts, response validation, fallback logic, and confirmation steps for sensitive actions.
Q5. Can you add voice?
A: Yes. The advanced package can include real-time voice interaction using speech-to-text, text-to-speech, and WebSocket-based communication.
