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Python Engineer - LLM & Cloud​/Charlotte​/Hybrid

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Motion Recruitment Partners LLC
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Python Engineer - LLM & Cloud / Charlotte / Hybrid

Overview

Outstanding contract opportunity! A well-known Financial Services Company is looking for a Python Engineer in Charlotte, NC, Irving, TX, Chandler, AZ, or Minneapolis, MN (hybrid 3 days on-site).

Are you passionate about pioneering AI on cloud platforms? We're seeking a skilled Python Developer with specialized expertise in Large Language Models (LLM) to join our innovative team. Your work will drive the integration, optimization, and deployment of advanced LLM solutions across cloud infrastructure, powering intelligent applications ng your expertise and thrive in a collaborative environment dedicated to technological excellence and growth.

Contract Duration: 12+ Months

Required Skills & Experience
  • Strong proficiency in Python programming.
  • Experience with LLM frameworks such as Hugging Face Transformers.
  • Hands‑on experience with major cloud platforms: AWS, Azure, or GCP.
  • Deep understanding of deploying AI/ML models to cloud environments (containers, serverless, etc.).
  • Solid grasp of cloud security best practices (including IAM, encryption, monitoring).
  • Familiarity with CI/CD pipelines for ML workflow automation.
  • Effective problem‑solving abilities and a collaborative team spirit.
What You Will Be Doing
  • Integrate large language models (LLMs) with cloud infrastructure for scalable deployment and inference.
  • Optimize AI models for efficient resource use and high performance on cloud platforms.
  • Develop RESTful APIs and backend services for LLM-based solutions.
  • Ensure robust security and compliance throughout LLM deployment and access within cloud environments.
  • Manage cloud resources, monitor system health, and implement cost‑control strategies.
  • Collaborate with cross‑functional teams to guide the development and deployment of LLM‑powered features.
  • Maintain documentation and provide technical support for cloud‑integrated LLM solutions.
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