You will get a Production AI Agent - LangChain, LangGraph & Tool Use
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Top Rated
Project details
A working AI agent deployed in your environment, not a chatbot wrapper or a temporary prototype.
I build production systems using LangChain and LangGraph that complete real multi-step tasks: tool calling, state routing, memory, and error handling. Reliability depends on architecture, fallback loops, human checkpoints, and deep trace observability.
• Shipped Systems:
• Legal Research: 3-agent pipeline (Research, Synthesis, Citation) using live legal APIs. Cut research time by 80%.
• Autonomous Brand Audit: 4-stage agentic workflow turning a URL into a strategic document in 3 minutes.
• Knowledge RAG Engine: Multi-document agent answering internal team questions with source citations.
• What You Get:
• Live multi-agent system integrated with your custom databases & APIs.
• Native error-handling and automated rollback logic.
• LangSmith/Langfuse observability to monitor every trace run.
• Technical documentation and a Loom video walkthrough.
To Start: Share your workflow goal, necessary API access details, and tech stack.
Keywords: ai agent developer, agentic ai, langchain, langgraph, multi-agent systems, openai api, workflow automation, tool calling, ai integration.
I build production systems using LangChain and LangGraph that complete real multi-step tasks: tool calling, state routing, memory, and error handling. Reliability depends on architecture, fallback loops, human checkpoints, and deep trace observability.
• Shipped Systems:
• Legal Research: 3-agent pipeline (Research, Synthesis, Citation) using live legal APIs. Cut research time by 80%.
• Autonomous Brand Audit: 4-stage agentic workflow turning a URL into a strategic document in 3 minutes.
• Knowledge RAG Engine: Multi-document agent answering internal team questions with source citations.
• What You Get:
• Live multi-agent system integrated with your custom databases & APIs.
• Native error-handling and automated rollback logic.
• LangSmith/Langfuse observability to monitor every trace run.
• Technical documentation and a Loom video walkthrough.
To Start: Share your workflow goal, necessary API access details, and tech stack.
Keywords: ai agent developer, agentic ai, langchain, langgraph, multi-agent systems, openai api, workflow automation, tool calling, ai integration.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Image Analysis, Image Processing, Natural Language Understanding, Object Detection, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$399
|
Standard
$699
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 14 days |
Number of Revisions | 2 | 4 | |
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 |
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BC
Braxton C.
Sep 2, 2025
Fix Stripe Checkout Integration with Supabase
Raja is a beast! Working with him has been a blast and he always reviews his work. Communication was excellent
BC
Braxton C.
Aug 30, 2025
Form-Based AI Integration Enhancements & PDF Embedding
Excellent Developer to work with! Communication was top-notch and he finished before deadlines. Looking forward to working with him again.
BC
Braxton C.
Aug 24, 2025
Fix PDF.js viewer + fillable form detection/export (AcroForm/XFA) in Lovable app
Great to work with and very reliable. Showed initiative and desire to complete each task given professionally and timely with excellent communication. Will continue to hire.
About Raja Jahanzaib
Agentic AI Developer | LangChain | RAG | LLM | n8n | Voice AI | SaaS
100%
Job Success
Rawalpindi, Pakistan - 3:15 am local time
Most AI builds break after the demo. Real users arrive, the architecture buckles, token costs explode, and retrieval that looked great in testing misses half the real queries. I build for what comes after the demo - evaluation harnesses, guardrails, human-in-the-loop checkpoints, and observability from day one.
Recent production systems:
→ Multi-agent legal research platform (funded startup): LangGraph orchestration across research, synthesis, and citation agents. LangChain + GPT-4o + Claude + Gemini + FastAPI + Next.js PostgreSQL + Redis.
Result: 80% faster legal research for active paying litigators.
→ Autonomous brand audit pipeline (PRISM): 4-stage agentic workflow running Claude and Gemini. One URL → full brand strategy with revenue leak identification and ROI estimates. Result: Complete audit in 3 minutes. Zero human touchpoints.
→ AI grading SaaS (ClassPilot): Gemini Vision real-time scoring with structured JSON streaming,inline error highlighting, teacher overrides, multi-role RBAC. Next.js + Supabase + Prisma. Result: 95% reduction in grading time.
→ Personality SaaS (Persona AI): 71-function serverless backend on AWS Lambda, AES column-level PII encryption, Big Five algorithm using Z-score and cosine similarity. Result: Thousands of users, 98% uptime.
What I build:
AI Automation — end-to-end workflow automation that removes manual work across operations, sales, support, marketing, and finance. n8n, Make, Zapier, custom Python pipelines with AI processing layers, webhook orchestration, CRM and ERP integration, error handling and retry logic,
self-hosted deployment.
AI Integration — adding AI features, LLM capabilities, RAG search, AI agents, or intelligent automation into your existing product or stack. OpenAI, Claude, Gemini, Mistral integrated cleanly without forcing a rebuild.
Agentic AI systems — LangChain, LangGraph, CrewAI, AutoGen, tool-calling, multi-agent orchestration, memory management, human-in-the-loop. Production-grade agents that complete real tasks reliably.
AI Chatbot Development — RAG-powered chatbots, customer support automation, lead qualification bots, internal knowledge assistants, multi-channel deployment (web, WhatsApp, Slack, Discord, Telegram).
RAG pipelines — Pinecone, PGVector, ChromaDB, Qdrant, LlamaIndex, hybrid search, Cohere and Voyage reranking, hallucination guardrails, eval harnesses for retrieval quality.
Voice AI agents — OpenAI Realtime API, Vapi, Retell AI, ElevenLabs, Whisper, Twilio, real-time STT/TTS, call routing, appointment booking, CRM sync.
MCP integrations — Model Context Protocol servers, tool-using agents, multi-step agentic workflows connected to your existing software stack.
Full-stack SaaS — Next.js, FastAPI, Supabase, PostgreSQL, Stripe billing, multi-tenant architecture, RBAC, production deployment on AWS or GCP.
AI observability — LangSmith, Langfuse, Arize Phoenix, retrieval eval, cost monitoring, prompt regression tracking.
How I work:
Scope call → define the problem, success metric, and constraints. MVP in 1–2 weeks. Hardening: guardrails, evals, edge case testing. Deploy with documentation and Loom walkthrough. 30-day post-launch support.
I use Claude Code, Cursor, v0, and Lovable to deliver 3–5x faster without cutting corners. Code is clean, documented, and yours.
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𝐆𝐨𝐭 𝐚𝐧 𝐀𝐈 𝐢𝐝𝐞𝐚 𝐨𝐫 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐲𝐨𝐮'𝐫𝐞 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐭𝐚𝐜𝐤𝐥𝐞?
Let’s turn it into a powerful, real-world solution customized to your business.
𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨𝐝𝐚𝐲, 𝐈’𝐦 𝐡𝐞𝐫𝐞 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐦𝐚𝐤𝐞 𝐢𝐭 𝐡𝐚𝐩𝐩𝐞𝐧!
ai automation, ai integration, agentic ai developer, langchain developer, ai agent developer, rag developer, n8n expert, n8n automation, ai chatbot developer, voice ai agent, mcp integration, llm developer, multi-agent systems, openai api, claude api, gemini api, ai workflow automation, business process automation, ai consultant, full stack ai developer, ai saas developer, production ai systems, retrieval augmented generation, vapi developer, elevenlabs, twilio, langsmith, crewai developer, autogen, pinecone, pgvector, fastapi developer, next.js developer, python ai developer, ai integration developer, workflow automation engineer, ai mvp developer
Steps for completing your project
After purchasing the project, send requirements so Raja Jahanzaib can start the project.
Delivery time starts when Raja Jahanzaib receives requirements from you.
Raja Jahanzaib works on your project following the steps below.
Revisions may occur after the delivery date.
Scope call or Chat
Define the problem, success metric, and constraints.