Senior Python AI Lead — Build Production LLM Solutions

Quantum Technologies. LLC

Dallas (TX)

On-site

USD 120,000 - 230,000

Full time

15 hours ago
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Job summary

Quantum Technologies. LLC seeks an experienced software/ML engineer with 10+ years of overall experience and 5+ years in professional software development, with strong Python expertise.

The role focuses on delivering AI/ML/LLM-powered systems to production and supporting them through the lifecycle. You will work across data handling, experimentation, evaluation, deployment, and monitoring, with hands-on responsibilities in prompt engineering, RAG, API integration, and scalable backend design on

Qualifications

  • 10+ years of overall experience in software development.
  • 5+ years of professional software development using Python.
  • Experience delivering AI/ML/LLM-powered systems to production.
  • Experience with AI development lifecycle including data handling, experimentation, evaluation, deployment and monitoring.
  • Hands-on experience with prompt engineering, RAG, and integrating model APIs.
  • Design and consumption of RESTful APIs and scalable backend services.
  • Experience with cloud platforms (AWS, GCP, or Azure) and Docker.
  • Version control with Git and CI/CD workflows.
  • Strong cross-team communication across engineering, data, and product teams.

Responsibilities

  • Develop and deploy AI/ML/LLM-powered systems to production.
  • Handle data across the AI development lifecycle including experimentation and monitoring.
  • Engineer prompts, implement RAG, and integrate model APIs.
  • Design and consume RESTful APIs and build scalable backend services.
  • Work with cloud platforms and containerization within CI/CD pipelines.

Skills

Python
AI/ML development
LLM integration
RESTful APIs
Docker
Git
CI/CD

Tools

Docker
Git
CI/CD

Job description

Quantum Technologies. LLC seeks an experienced software/ML engineer with 10+ years of overall experience and 5+ years in professional software development, with strong Python expertise.

The role focuses on delivering AI/ML/LLM-powered systems to production and supporting them through the lifecycle. You will work across data handling, experimentation, evaluation, deployment, and monitoring, with hands-on responsibilities in prompt engineering, RAG, API integration, and scalable backend design on

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