Python Lead with AI

Quantum Technologies LLC; Dallas (TX); On-site; USD 120,000 - 230,000; Full time

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

10+ Years of overall exp and 5+ years of professional software development experience, with strong, current Python expertise.

Demonstrable experience delivering at least one AI/ML or LLM-powered system to production and supporting it through its life cycle.

Practical familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, and monitoring.

Hands-on experience with LLM application development — prompt engineering, RAG, and integrating APIs such as those from major model providers.

Proficiency designing and consuming RESTful APIs and building scalable backend services.

Working knowledge with cloud platforms (AWS, GCP, or Azure) and containerization (Docker).

Solid grounding with version control (Git) and CI/CD workflows.

Strong communication skills and the ability to work across engineering, data, and product teams.

Preferred Qualifications:

• Experience with agentic frameworks and orchestration (e.g., LangChain, LangGraph, LlamaIndex, or multi-agent frameworks).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector, FAISS) and embedding-based retrieval.
• Exposure to MLOps/LLMOps tooling — MLflow, Weights & Biases, model registries, and feature stores.
• Experience with Kubernetes and infrastructure-as-code.
• Understanding of model evaluation, responsible AI, safety guardrails, and observability for LLM systems.
• Background with data pipelines and streaming (e.g., Kafka, Spark, or Airflow).

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.