Senior AI Engineer - LLMs, RAG & AI Agents Lead

Quantum Technologies. LLC; Trenton (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

Quantum Technologies LLC is seeking a Senior AI Software Engineer / Lead AI Engineer to design, develop, and deploy production-grade AI-powered applications and platforms in the United States. The ideal candidate will combine strong software engineering fundamentals with hands-on Generative AI, LLMs, RAG, AI agents, Python, APIs, and cloud platforms to deliver scalable systems.

This role requires leading AI solutions from architecture and proof-of-concept through production deployment and

Qualifications

• Extensive experience designing and deploying AI-powered applications.
• Strong background in Generative AI, LLMs, and AI agents.
• Experience building production-grade data pipelines and scalable systems.

Responsibilities

• Design and develop scalable AI-powered software applications.
• Build and integrate LLM-based applications and AI agents.
• Develop production-grade RAG systems.
• Work with LLM APIs and open-source models.
• Design prompt engineering and evaluation frameworks.
• Develop AI agents capable of tool calling and multi-step workflows.
• Build APIs and backend services for AI applications.
• Monitor AI applications in production and troubleshoot performance issues.
• Maintain security, privacy, and responsible AI practices.

Skills

Generative AI

LLMs

AI Agents

Python

APIs

Cloud platforms

Databases

Distributed systems

Architecture for production

Tools

LLM APIs

Open-source models

Job description

Quantum Technologies LLC is seeking a Senior AI Software Engineer / Lead AI Engineer to design, develop, and deploy production-grade AI-powered applications and platforms in the United States. The ideal candidate will combine strong software engineering fundamentals with hands-on Generative AI, LLMs, RAG, AI agents, Python, APIs, and cloud platforms to deliver scalable systems.

This role requires leading AI solutions from architecture and proof-of-concept through production deployment and