AI Engineer
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.
What you'll do
- 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.
Openings: 5 · Type: Full-time · Location: Atlanta, GA (hybrid) · Experience: 4+ years
Apply for this role
Attach your resume and we'll read it to prefill the form for you — review, complete, and submit.
We will never ask for your Social Security number, date of birth, or banking information during the application process. Cloudy Technologies is an equal opportunity employer — all qualified applicants receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.