Cloud AI Engineer

Cloud

AI Engineer / Cloud AI Architect Las Vegas, Nevada - Hybrid

Increase your chances of an interview by reading the following overview of this role before making an application.

I’m working with an early staged but very exciting

humanoid robotics startup

building next-generation AI systems to power

intelligent, real-world machines .

They’re now looking for a Cloud

AI Engineer / Cloud AI Architect

to design and scale the

cloud infrastructure behind LLM-driven robotic intelligence .

What you’ll be doing: Architecting and scaling

LLM-powered systems

supporting thousands of real-time interactions Building and optimizing

RAG pipelines

and vector-based retrieval systems Deploying and managing

GPU-based inference infrastructure Designing

cloud-native AI platforms on AWS

(EKS, EC2, S3, etc.) Developing

multi-agent / orchestration systems

connecting models, tools, and real-world inputs Enabling seamless interaction between

cloud AI and physical robotic systems

What they’re looking for: Strong background in

AWS + distributed systems / cloud architecture Hands-on experience with

LLMs, xsgimln RAG systems, and vector databases Experience with

model deployment, inference, and scaling Familiarity with

Kubernetes, Ray, MLflow, or similar tools Experience building

low-latency, high-throughput systems

No robotics or humanoid experience required

— they’re focused on strong AI/LLM infrastructure backgrounds.