Principal AI Engineer: Generative AI & LLM Architect

Quantum Technologies. LLC; Waukesha (WI); On-site; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies LLC is seeking a seasoned Principal AI Engineer to lead the architecture and deployment of Generative AI solutions, building AI agents and integrating LLMs into enterprise ecosystems.

You will design multi-agent orchestration, optimize LLM performance, and deploy robust pipelines on AWS, Azure, or GCP, collaborating with cross-functional teams. 12+ years of software engineering and data science experience, expert Python, and deep GPT/Claude expertise are required.

Qualifications

• 12+ years of software engineering and data science experience.
• Expert proficiency in Python programming.
• Deep expertise in Large Language Models (LLMs) such as GPT and Claude.
• Proven experience with Orchestration Tools and Agentic Frameworks.
• Knowledge of AI life cycles and ML operations.
• Experience with Vector Databases (Pinecone, Milvus, Weaviate).
• Relevant industry certifications in AI or Cloud Architecture.

Responsibilities

• Design and implement scalable AI solutions using LangChain and AutoGen.
• Develop multi-agent orchestration systems with Agent Memory and reasoning capabilities.
• Optimize Large Language Model performance through Prompt Engineering and hyperparameter tuning.
• Architect robust pipelines on Cloud Platforms (AWS, Azure, or GCP) to support AI model deployment.
• Collaborate with cross-functional teams to integrate AI into existing digital products.

Skills

Python programming

Large Language Models (LLM)

Prompt Engineering

Agent orchestration

Cloud architecture

Tools

LangChain

AutoGen

Pinecone

Milvus

Weaviate

AWS

Azure

GCP

GPT

Claude

Job description

Quantum Technologies LLC is seeking a seasoned Principal AI Engineer to lead the architecture and deployment of Generative AI solutions, building AI agents and integrating LLMs into enterprise ecosystems.

You will design multi-agent orchestration, optimize LLM performance, and deploy robust pipelines on AWS, Azure, or GCP, collaborating with cross-functional teams. 12+ years of software engineering and data science experience, expert Python, and deep GPT/Claude expertise are required.