Build sophisticated AI agent systems across enterprise business automation and intelligent trading platforms. Design and deploy production LLM-based multi-agent architectures, real-time ML models, and automated workflows integrating with NetSuite, Amazon Connect, and LiveAgent. No financial background required we value AI/ML expertise and problem-solving ability.

Key Responsibilities

Design multi-agent LLM systems using ChatGPT, Claude, Gemini, Grok with Google ADK, Agent2Agent, LangChain/Langgraph
Build voice AI agents on Amazon Connect for customer phone interactions
Develop conversational AI for email/chat integrated with LiveAgent platform
Integrate NetSuite ERP for automated quote generation and business workflows
Build customer email automations for marketing with AI built in. Quote follow ups, ratings follow ups, order status, keep in touch.
Build AI Marketing AI Workflows for social media and email blasts.

Required Skills

Expert Python: NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow
Production LLM experience with multi-agent orchestration and RAG
Machine learning: supervised/deep learning,
API development (FastAPI/Flask), event-driven architecture
Databases: PostgreSQL,
Docker, Kubernetes, CI/CD pipelines
Enterprise integration: ERP/CRM systems, OAuth 2.0

Preferred

Bachelors, MS/PhD in CS, Mathematics, Physics, or related field
Amazon Connect, LiveAgent, or NetSuite experience
Voice AI, NLP, sentiment analysis
Reinforcement learning, distributed computing
High-frequency data processing

What You'll Build

Business Automation:

Submit: GitHub portfolio, system design exercise with business automation , ML project deep dive, resume

Requirements:

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AI Integration Engineer - Process Automation - Remote