Generative AI Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• 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.

Required Skills

• Strong experience with Generative AI and RAG Frameworks.


• Expertise in Python programming.


• Hands-on experience with LangChain, LlamaIndex, or similar orchestration frameworks.


• Experience working with LLMs and foundation models.


• Knowledge of Prompt Engineering and AI model evaluation.


• Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, FAISS, or Azure AI Search.


• Strong understanding of Embeddings, Semantic Search, and Information Retrieval techniques.


• Experience with REST APIs, Microservices, and Cloud Platforms (Azure, AWS, or GCP).


• Familiarity with Docker, Kubernetes, CI/CD, and DevOps practices.

Preferred Qualifications

• Experience with AI Agents and Agentic AI frameworks.


• Exposure to GraphRAG, Knowledge Graphs, and Advanced Retrieval Techniques.


• Experience in MLOps and AI Governance.


• Knowledge of Responsible AI and Model Monitoring frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.