Senior AI Engineer

Quantum Technologies. LLC; Plano (TX); On-site; USD 140,000 - 185,000; Full time

Job summary

Quantum Technologies. LLC is seeking a Senior AI Engineer to design and deliver GenAI applications. You will build agent-based AI platforms using LangGraph, Python, and FastAPI, while developing robust RAG pipelines and scalable data workflows.

The role emphasizes cloud integration with Azure, database work with Snowflake and MongoDB, and collaboration with data teams across the business. The ideal candidate has deep GenAI experience, strong software engineering skills, and a track record of

Qualifications

• Design, build, and deploy GenAI apps using LLMs and Python.
• Develop agent-based AI systems leveraging LangGraph.
• Create RAG pipelines with embeddings, vector stores, and extraction techniques.
• Implement prompt engineering, LLM evaluation, and model performance tuning.

Responsibilities

• Design, develop, and deploy GenAI applications using LLMs and Python.
• Build agent-based AI systems using LangGraph and similar frameworks.
• Develop RAG pipelines using embedding models, vector databases, and information extraction techniques.
• Implement prompt engineering, LLM evaluation, and model performance optimization.
• Develop scalable backend services and APIs using Python and FastAPI.
• Integrate AI applications with Azure cloud services and enterprise systems.
• Work with Snowflake, MongoDB, and other database technologies.
• Develop and manage ETL pipelines and large-scale data processing workflows.
• Utilize Databricks notebooks, clusters, and workflow orchestration.
• Containerize and deploy applications using Docker and Kubernetes / AKS.
• Use GitHub, Git workflows, and GitHub Copilot for development.
• Collaborate with data engineering and business teams to deliver AI solutions.

Skills

Generative AI

LLMs

Python

LangGraph

FastAPI

Tools

Docker

Kubernetes/AKS

GitHub

Databricks

Snowflake

MongoDB

Azure

Job description

We are seeking a highly experienced Senior AI Engineer with a strong software engineering background and hands-on expertise in Generative AI, LLMs, Python, and LangGraph. The candidate will develop scalable AI-powered applications and agent-based platforms using FastAPI, RAG, vector databases, and Azure cloud technologies.

Key Responsibilities

Design, develop, and deploy GenAI applications using LLMs and Python.

Build agent-based AI systems using LangGraph and similar frameworks.

Develop RAG pipelines using embedding models, vector databases, and information extraction techniques.

Implement prompt engineering, LLM evaluation, and model performance optimization.

Develop scalable backend services and APIs using Python and FastAPI.

Integrate AI applications with Azure cloud services and enterprise systems.

Work with Snowflake, MongoDB, and other database technologies.

Develop and manage ETL pipelines and large-scale data processing workflows.

Utilize Databricks notebooks, clusters, and workflow orchestration.

Containerize and deploy applications using Docker and Kubernetes / AKS.

Use GitHub, Git workflows, and GitHub Copilot for development.

Collaborate with data engineering and business teams to deliver AI solutions.

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.