Generative AI Engineer – Scalable LLM & RAG Architect

Quantum Technologies. LLC; Phoenix (AZ); On-site; USD 140,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC is seeking engineers to design and deploy Generative AI systems in cloud environments. You will build end-to-end pipelines for data ingestion, embedding, indexing, retrieval, and response generation, and optimize prompts for higher accuracy and lower latency.

The role involves hands-on work with LLMs, vector databases, and orchestration tools like LangChain. You will collaborate across teams to meet business needs while ensuring security and Responsible AI practices.

Qualifications

• Experience with Generative AI and RAG frameworks.
• Strong Python programming skills.
• Hands-on with LangChain or LlamaIndex orchestration.
• Experience with LLMs and foundation models.
• Knowledge of Prompt Engineering and model evaluation.
• Experience with Vector Databases and semantic search.
• Familiarity with REST APIs, microservices and cloud platforms.
• Familiarity with DevOps practices and CI/CD.

Responsibilities

• Design and implement scalable Generative AI solutions using RAG architectures.
• Develop AI-powered applications leveraging LLMs such as GPT, Claude, Llama, and Gemini.
• Build end-to-end data ingestion, embedding, indexing, retrieval, and response-generation pipelines.
• Develop and optimize prompt engineering strategies for improved model performance.
• Integrate vector databases and semantic search capabilities into AI applications.
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
• Monitor, evaluate, and improve model accuracy, relevance, latency, and cost efficiency.
• Implement security, governance, and Responsible AI best practices.
• Deploy and maintain GenAI solutions in cloud environments.

Skills

Generative AI

Python

LangChain/LlamaIndex

LLMs & foundation models

Prompt engineering

Vector databases & semantic search

REST APIs & microservices

Cloud platforms

Tools

LangChain

LlamaIndex

Docker

Kubernetes

CI/CD

Azure/AWS/GCP

Job description

Quantum Technologies. LLC is seeking engineers to design and deploy Generative AI systems in cloud environments. You will build end-to-end pipelines for data ingestion, embedding, indexing, retrieval, and response generation, and optimize prompts for higher accuracy and lower latency.

The role involves hands-on work with LLMs, vector databases, and orchestration tools like LangChain. You will collaborate across teams to meet business needs while ensuring security and Responsible AI practices.