Cloud AI Engineer / Cloud AI Architect

About

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, 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.