Agentic Systems & Multi-Agent Orchestration
Design and deploy agentic systems using LangGraph, LangChain and AWS. Orchestrate multi-agent workflows that reason, plan, and execute complex tasks through LLM APIs.
Christiam Ipanaque - AI Engineer
I am an AI Engineer who designs, builds, and deploys agentic systems that automate complex workflows, reduce operational costs, and deliver measurable business outcomes. Every AI system I ship is built on six years of engineering discipline: Multi-agent systems, RAG pipelines, LangGraph and LangChain agent workflows, LLM API integrations with enterprise and open-source models, and the failure-mode debugging that only comes from deploying agentic workflows to production.
What I Build
Production agentic systems designed around business objectives, not technology stacks. Each capability below represents systems I have personally architected, deployed, and operated at scale.
RAG-Powered Knowledge Bases
Build retrieval-augmented generation pipelines using LangChain, vector databases, and embedding pipelines. Surface accurate answers from documents, knowledge bases, and internal data with source citations.
Document Processing & Data Extraction
Extract, classify, and validate data from invoices, contracts, forms, and reports using vision-capable models, LLM APIs, and structured extraction pipelines.
Internal AI Agents for Teams
Create private, role-specific AI assistants powered by LangGraph and LangChain. Integrate tools, RAG, and multi-agent workflows to help your team answer questions and execute tasks securely.
AI Governance & Guardrails
Implement AI governance requirements, guardrails, and monitoring systems. Deploy governance controls, validation pipelines, and full traceability for production agentic systems.
AI Infrastructure Layer
Own the full deployment lifecycle: cloud infrastructure, CI/CD, rate limiting, semantic caching, observability, evaluation, and cost controls.
Why Clients Hire Me
Most businesses don't need another AI demo. They need an agent system that actually works in production.
I bring both AI engineering and software development experience. I don't just focus on model performance. I focus on building reliable AI systems that integrate with existing workflows, scale with the business, and deliver measurable value.
From initial architecture to deployment and ongoing monitoring, I take ownership of the entire implementation to ensure your AI system is delivered efficiently and achieves its intended business goals.
Further Reading
The following authoritative resources cover the AI engineering stack from prompt engineering, agent frameworks, RAG pipelines, LLM API integrations and Multi-agent orchestation to production deployment and observability:
- OpenAI Platform · platform.openai.com
API reference for GPT-4o, embeddings, and structured outputs.
- Anthropic Claude · docs.anthropic.com
Safety-focused LLM API with extended context and tool use patterns.
- LangGraph · langchain-ai.github.io
State graph framework for production agent orchestration.
- Qdrant · qdrant.tech
Open-source vector database for production RAG pipelines.
- LangSmith · smith.langchain.com
LLM tracing, evaluation, and observability platform.
Hire an AI Engineer
Christiam Ipanaque builds Agentic systems, RAG pipelines, LangGraph and LangChain agent workflows, LLM API integrations, and multi-agent system orchestrations deployed on AWS that deliver real business outcomes.
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