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Python Engineer - LLM & Cloud / Charlotte / Hybrid

Company:
Motion Recruitment
Location:
Charlotte, NC, 28202
Posted:
March 18, 2026
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Description:

Outstanding contract opportunity!

A well-known Financial Services Company is looking for an Python Engineer in Charlotte, NC, Irving, TX, Chandler, AZ, or Minneapolis, MN (hybrid 3 days on-site)\n\nAre 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 at scale.

Bring your expertise and thrive in a collaborative environment dedicated to technological excellence and growth.

\nContract Duration: 12+ Months \nRequired Skills & Experience\n 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.\n \nWhat 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.\n

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