AI Engineer

Cloudy Technologies

Atlanta, Northern (GA, KY)

Hybrid

USD 140,000 - 200,000

Full time

14 days+
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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

Put AI to work, securely. You'll build the AI systems behind our services — compliance engines, agentic workflows, RAG pipelines — and the guardrails that make them enterprise-safe.

  • 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
What we require
  • Bachelor's degree (computer science, engineering, or a related field)
  • 4+ years of software or ML engineering, including hands-on LLM application experience
  • Hands-on experience with cloud platforms — Azure, AWS, and Google Cloud — is a must
  • Based in or willing to relocate to the Atlanta, GA metro (hybrid; HQ in Roswell)
Nice to have

No certifications are required. Preferred: Azure AI Engineer (AI-102), AWS Machine Learning Specialty, or Google Professional ML Engineer.

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