What is an AI agent developer?
An AI agent developer builds software systems where an AI model can take autonomous actions — calling tools, querying databases, interacting with APIs, writing code, or coordinating with other agents — to complete complex multi-step tasks without continuous human guidance. Unlike a chatbot that only generates text, an AI agent takes real actions in connected systems. I specialize in production AI agent development using LangGraph, LangChain, and the Model Context Protocol (MCP).
What is a multi-agent system and when do I need one?
A multi-agent system uses multiple AI agents coordinated by a supervisor — each agent specializing in one task. Use one when your workflow is too complex for a single AI model: for example, when you need to simultaneously evaluate a GitHub profile, analyze a resume, and conduct a voice interview. A single agent trying to do all three would be less reliable and harder to maintain than three specialized agents coordinated by LangGraph.
What is an MCP server and do I need a custom one?
An MCP (Model Context Protocol) server exposes tools your AI agent can call to interact with external systems. You need a custom MCP server when you want the AI to access your specific data — your Shopify store, your internal database, your CRM — not just public APIs. Custom MCP servers are built with FastMCP and take 2-5 days to develop for typical business integrations.
When should I use LangGraph instead of a simpler approach?
Use LangGraph when your AI workflow needs conditional routing (different paths for different inputs), multiple agents handing off to each other, persistent shared state across steps, loops or retry logic, or human-in-the-loop checkpoints. For simple, linear tasks (always the same sequence), a basic LangChain chain is sufficient and faster to build. Most real production systems that handle varied inputs benefit from LangGraph's stateful orchestration.
What is RAG and when should a business invest in it?
RAG (Retrieval-Augmented Generation) lets AI answer questions about your specific documents or data — internal knowledge bases, product docs, contracts, manuals — by retrieving relevant passages before generating an answer. Invest in RAG when you have proprietary knowledge that employees or customers need to query accurately, and where hallucination would be costly. Good RAG is always citation-backed — every answer shows its source.
Where are you located and do you work with remote clients?
I'm based in Indore, Madhya Pradesh, India. I work with clients across India and internationally on a remote basis. I'm available for India-based freelance projects, and for international clients working async across time zones. Contact me at sanskar21072005@gmail.com to discuss your project.
How long does it take to build a production AI agent?
A simple single-agent system with 2-3 tools: 1-3 weeks. A complex multi-agent system with custom MCP servers, voice integration, and a full-stack frontend (like Hire a Human): 4-8 weeks for initial production deployment. Timeline depends on integration complexity, number of custom tools needed, and production robustness requirements. I provide honest scoping upfront — I don't underscope to win projects.
Who should NOT hire me for AI work?
If you need a large team, enterprise-scale support SLAs, or a system requiring 24/7 on-call engineering coverage, I'm not the right fit as a solo engineer. I'm best suited for startups, SMEs, and technical teams that need a skilled AI engineer to design and build a well-defined system, not an enterprise vendor relationship.
