AI Engineer: Secure LLM Apps & Guardrails (Hybrid, Atlanta)

Cloudy Technologies; Atlanta, Northern (GA, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Cloudy Technologies is hiring a software/ML engineer to design and build LLM-driven solutions, guardrails, and governance for enterprise AI services. You will work across Azure OpenAI, AWS Bedrock, and Google Vertex AI, and help shape compliance engines and tenant-specific variants.

The role requires 4+ years of hands-on ML/AI engineering, cloud platform experience, and willingness to relocate to the Atlanta metro in a hybrid setup with HQ in Roswell.

Qualifications

• Bachelor's degree in computer science, engineering or related field.
• 4+ years of software or ML engineering experience with hands-on LLM apps.
• Hands-on cloud platform experience (Azure, AWS, Google Cloud) required.
• Based in or willing to relocate to the Atlanta, GA metro area, hybrid work.

Responsibilities

• Design and build LLM applications, agents, and RAG pipelines on Azure OpenAI, AWS Bedrock, and Google Vertex AI.
• Engineer guardrails, evaluations, and observability for AI systems in regulated environments.
• Develop our in-house AI compliance engine and customer-tenant variants.
• Stay ahead of the AI security landscape and feed it back into our practice.

Skills

LLM engineering

Hands-on ML

Software engineering

Education

Bachelor's degree in CS/Engineering or related field

Tools

Azure

AWS

Google Cloud

Azure OpenAI

Job description

Cloudy Technologies is hiring a software/ML engineer to design and build LLM-driven solutions, guardrails, and governance for enterprise AI services. You will work across Azure OpenAI, AWS Bedrock, and Google Vertex AI, and help shape compliance engines and tenant-specific variants.

The role requires 4+ years of hands-on ML/AI engineering, cloud platform experience, and willingness to relocate to the Atlanta metro in a hybrid setup with HQ in Roswell.