Agentic AI Pipeline Development with LangGraph

About this Gig

Short tagline: I design and deploy multi-agent AI systems that turn complex workflows into automated pipelines — built to scale. Description: I build production-grade agentic AI systems using LangGraph and LangChain — the same stack I used to architect a 15+ agent pipeline at India's first regional OTT platform. Whether you need a research agent, a content generation pipeline, or a domain-specific multi-agent workflow, I design it with stateful collaboration, typed shared memory, and modular nodes so it runs reliably and is easy to extend. What you get: Multi-agent architecture design (LangGraph state machines, typed state, modular nodes) RAG integration with FAISS / vector DBs and structured retrieval logic Deterministic flows with checkpointing, retries, and human-in-the-loop hooks Production deployment (FastAPI + Celery + Redis + Docker) Documentation and handoff so your team can own it Ideal for: founders building AI-first products, agencies needing automation pipelines, and teams stuck with brittle single-LLM scripts that need to graduate to real systems.

Requirements

1.Project scope & goals — what the pipeline should do end-to-end, expected inputs/outputs, and any specific success criteria. 2.Use case details — example workflows, sample data, or screenplays/documents the agents will process (a few real examples help me design the right state schema). 3.Tech preferences — any required LLM providers (OpenAI, Anthropic, Gemini), vector DBs, or cloud platforms (AWS, GCP). If flexible, I'll recommend the best fit. 4.Existing code or systems — repo access (GitHub/GitLab), API docs, or current architecture if I'm extending an existing system. 5.API keys & credentials — for LLM providers, cloud services, and any third-party APIs the pipeline will call (shared securely via your preferred method). 6.Deployment target — where this will run (your AWS account, a VPS, local Docker, etc.) and access to the deployment environment if I'm handling it. 7.Timeline & milestones — your deadline and any intermediate checkpoints you want.

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