Custom AI Agent Developer in United States
Architect autonomous AI Agent operating systems, multi-step LLM workflows, and intelligent tool-calling agents for enterprise operations across Silicon Valley & New York.
Why Traditional Builds Stall Growth in United States
Simple prompt wrappers and basic chatbots fail when handling complex enterprise tasks requiring state management, external API execution, multi-step validation, and persistent memory.
Code-Level Precision & Verified High Performance
I engineer production-grade Autonomous AI Agents leveraging DeepSeek V3/V4, OpenAI, and Claude models with structured function-calling, vector memory retrieval (RAG), and sandbox execution pipelines. The system autonomously plans, executes database actions, and reports verified results.
Enterprise Engineering Deliverables
Autonomous Agent OS Workflows
Build multi-step agents that break complex goals into tasks, call APIs, and self-correct on failure.
Tool Calling & Database Connectors
Empower agents to read/write to your PostgreSQL database, CRM, Stripe, or email servers securely.
Long-Term Memory & Vector Store
Persistent user context and historical memory using Pinecone, Supabase pgvector, or Qdrant.
Streaming Terminal & UI Copilots
Ultra-responsive React/Next.js interactive agent consoles with real-time SSE streaming.
Zero Legacy Debt. Built for Modern Scale.
// Autonomous Agent Tool-Calling Handler
export async function executeAgentStep(userGoal: string, context: AgentContext) {
const plan = await llm.generateStructuredOutput({
prompt: userGoal,
schema: AgentActionSchema,
tools: [queryDatabaseTool, sendNotificationTool]
});
return executeVerifiedAction(plan);
}Outcomes That Drive Revenue in United States
4-6 Hours Daily Overlap with US Teams. Active in EST / PST (UTC-5 to UTC-8).
US/Canada ACH, Wire, Stripe, or Escrow payments accepted in USD. W-8BEN form provided for easy compliance.
SOC-2 and HIPAA-aware code architecture with strict IP assignment upon final delivery.
Got Questions? Clear Answers for American Clients.
How do you prevent hallucinations in autonomous AI agents?
By combining strict JSON Schema validation (Zod), deterministic tool execution, ground-truth RAG retrieval pipelines, and multi-step verification prompts.
Can the AI agent integrate with our existing backend in United States?
Yes. I build custom API connectors, webhooks, and authenticated REST/GraphQL adapters to interface with your existing database and CRM systems.
Ready to Build Next-Gen Architecture for Your Brand?
Get direct access to a Senior Full-Stack & AI Architect. No account managers, no junior delegators. Sub-second load times guaranteed.