You will get ai agents and rag apps with langchain,langsmith and langgraph
Rising Talent
Rising Talent
Project details
About this gig
I will build custom AI agents using your OpenAI API key or a local open-source LLM like LLaMA or Mistral.
My solutions use LangChain, LangGraph, LangSmith and FastAPI to create intelligent, task-oriented agents for chatbots, RAG apps, and automation workflows.
Youll get a ready-to-use AI agent with complete setup and documentation.
Also Create Frontend in Web(React.js,Tailwind,Html,Css,Js) Or Streamlit
What I Offer:
I provide end-to-end AI solutions based to your needs, including:
Generative AI Solutions Custom AI models for text, image, and data generation.
Custom Chatbots AI-powered conversational agents for customer support and automation.
RAG (Retrieval-Augmented Generation) Systems AI agents trained on your data for accurate, real-time responses.
LangChain & LangGraph Integration Advanced AI workflows and multi-agent systems.
Custom AI Knowledge Base Agents AI trained on company data, documents, and FAQs.
OpenAI, Llama3, Claude3, & Mistral Integration AI-powered business automation.
Who Is This For?
Startups & Businesses looking for AI-driven customer support solutions.
Companies needing AI agents trained on internal knowledge bases.
I will build custom AI agents using your OpenAI API key or a local open-source LLM like LLaMA or Mistral.
My solutions use LangChain, LangGraph, LangSmith and FastAPI to create intelligent, task-oriented agents for chatbots, RAG apps, and automation workflows.
Youll get a ready-to-use AI agent with complete setup and documentation.
Also Create Frontend in Web(React.js,Tailwind,Html,Css,Js) Or Streamlit
What I Offer:
I provide end-to-end AI solutions based to your needs, including:
Generative AI Solutions Custom AI models for text, image, and data generation.
Custom Chatbots AI-powered conversational agents for customer support and automation.
RAG (Retrieval-Augmented Generation) Systems AI agents trained on your data for accurate, real-time responses.
LangChain & LangGraph Integration Advanced AI workflows and multi-agent systems.
Custom AI Knowledge Base Agents AI trained on company data, documents, and FAQs.
OpenAI, Llama3, Claude3, & Mistral Integration AI-powered business automation.
Who Is This For?
Startups & Businesses looking for AI-driven customer support solutions.
Companies needing AI agents trained on internal knowledge bases.
AI Algorithms
AdaBoost, AlexNet, Convolutional Neural Network, Feedforward Neural Network, Gated Recurrent Unit, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Regression Analysis, YOLOAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, Conversational AI, Facial Recognition, Image Analysis, Image Recognition, Natural Language Generation, Object Detection, Sentiment AnalysisAI Development Language
PythonAI Tools
Bing AI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$15
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | ||
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15Frequently asked questions
About Zain
Full Stack AI Engineer | GenAI Agents, RAG & SaaS | LangGraph, FastAPI
Rawalpindi, Pakistan - 10:18 pm local time
I am a Full Stack AI Engineer specializing in building autonomous agents, scalable RAG pipelines, and enterprise-grade AI applications. Unlike traditional data scientists who stop at the model, I architect the entire ecosystem: from the LLM logic (LangChain/LangGraph) to the Backend API (FastAPI) and Deployment (Docker/Cloud).
I help founders and enterprises move beyond basic "ChatGPT wrappers" to create intelligent systems that interact with real-world data, tools, and workflows.
Core Competencies & Tech Stack
1. Advanced AI Agents & Orchestration I build agents that do things, not just talk. Using state-of-the-art frameworks, I create multi-agent systems capable of reasoning, planning, and executing complex tasks.
Frameworks: LangChain, LangGraph (Multi-Agent Systems), LangSmith (Tracing/Eval).
Agent Tooling: Parlant SDK for behavioral AI agents, MCP (Model Context Protocol), and FastMCP for standardized LLM context integration.
Capabilities: Human-in-the-loop workflows, tool calling, and state management.
2. RAG (Retrieval-Augmented Generation) Architectures I solve the "hallucination" problem by connecting LLMs to your private data with precision.
Vector Databases: Qdrant, ChromaDB, PGVector (PostgreSQL).
Processing: Advanced document parsing (OCR for PDFs), semantic chunking, and hybrid search (Keyword + Semantic).
Outcome: Chatbots that can query thousands of documents and provide cited, accurate answers.
3. Full-Stack Engineering & Backend An AI model is useless without a robust backend. I build high-performance APIs to serve your models.
Backend: FastAPI (Python), Node.js integration.
Databases: PostgreSQL, MongoDB.
DevOps: Docker containers, CI/CD pipelines, Azure/AWS deployment.
4. No-Code/Low-Code Automation For rapid prototyping or internal business logic, I integrate AI deeply into workflow automation tools.
Tools: n8n (Self-hosted workflows), Make.com.
Integration: Connecting LLMs directly to Google Sheets, CRMs, Slack, and Email services for automated operations.
Services I Offer
Custom AI SaaS Development: End-to-end development of AI-powered web applications (Backend + AI Logic). Enterprise RAG Systems: "Chat with your Data" systems for legal, medical, or corporate knowledge bases. Autonomous Agent Workflows: Building agents that can browse the web, scrape data, and perform actions using MCP and Parlant.Business Process Automation: Automating repetitive tasks using n8n powered by intelligent LLM decision-making.API Development: Creating robust REST APIs using FastAPI to expose your AI models to the world.
Why Work With Me?
Engineering First Mindset: I write clean, modular, and maintainable code.
Cutting-Edge Tech: I stay ahead of the curve, utilizing the latest protocols like FastMCP and agentic frameworks like Parlant to give you a competitive edge.
Full Ownership: From the first line of code to the final deployment on the cloud, I handle the technical heavy lifting so you can focus on your business.
Let’s turn your AI vision into a deployed reality. Click "Invite to Job" and let’s discuss your architecture.
Steps for completing your project
After purchasing the project, send requirements so Zain can start the project.
Delivery time starts when Zain receives requirements from you.
Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Success Criteria
Clarify target users, use-cases, guardrails, data sources, KPIs (accuracy, latency, cost), and acceptance criteria
Tech & Architecture Plan
Choose model/providers and embeddings, decide on RAG vs. tools-only, outline the agent graph (nodes/edges), and define storage (vector DB, cache, secrets)