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AI Development Services

AI Agent & Agentic AI Development

Build autonomous AI agents that think, reason, and act — using LangGraph, LangChain, and GPT-4. I architect multi-agent systems that deliver measurable ROI for businesses in the US, UK, EU, and Australia.

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What I Build

LangGraph multi-agent orchestration pipelines
RAG (Retrieval-Augmented Generation) systems
Autonomous task agents with tool use
AI-powered document processing workflows
Custom AI chatbots and voice assistants
Multi-agent systems with role-based collaboration
Vector database search with Pinecone / Weaviate
MCP server development for AI tooling

Technologies

I use the production-proven AI stack for building reliable, scalable agents:

LangGraphLangChainOpenAI GPT-4Anthropic ClaudePineconeWeaviateChromaDBPythonFastAPILlamaIndexCrewAISemantic KernelHugging FaceDockerAWS

Why Hire Me for AI Development?

  • Production focus: I build AI systems that work reliably at scale, not just demos. Every project includes error handling, retry logic, and cost monitoring.
  • 5+ years full-stack experience: I integrate AI into complete web applications — not just standalone scripts. You get a working product, not just a model.
  • Remote & async: I work seamlessly with teams in the US, UK, EU, and Australia. 24-hour response time guaranteed.

Related Services

OpenAI IntegrationFastAPI BackendNext.js FrontendAWS Deployment

Frequently Asked Questions

What is LangGraph and why use it for AI agents?

LangGraph is a framework built on top of LangChain that allows you to model AI agent workflows as stateful graphs. This gives you fine-grained control over agent behavior, supports cyclical reasoning loops (unlike simple chains), and makes multi-agent coordination predictable and debuggable — critical for production deployments.

How long does it take to build an AI agent?

A focused single-purpose agent (e.g., a customer support bot with RAG) typically takes 2–4 weeks. Complex multi-agent systems with tool integrations, custom memory, and production monitoring take 6–12 weeks depending on scope.

What LLMs do you work with?

I work with OpenAI GPT-4/GPT-4o, Anthropic Claude 3/3.5, Google Gemini, and open-source models via Hugging Face or Ollama. I'll recommend the best fit for your use case based on latency, cost, and capability requirements.

Can you integrate AI agents with my existing tools?

Yes. I regularly integrate agents with REST APIs, databases, CRMs (HubSpot, Salesforce), communication tools (Slack, email), file systems, and custom internal tools. LangGraph's tool-use architecture makes this straightforward.

How do you handle AI agent costs in production?

I implement token budgeting, caching for repeated queries, model routing (using cheaper models for simple tasks), and streaming to reduce perceived latency. Cost monitoring is built into every production deployment.

Ready to Build Your AI Agent?

Let's discuss your use case and build an AI system that delivers real business value.

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