Backend Engineer (AI/ML Infrastructure)

Location: Remote

At CloudGeometry, we're redefining how modern data and AI systems are built.

Overview

We are looking for a highly skilled AI Infrastructure Engineer to join our growing team supporting large-scale AI/ML systems. This is a hands-on engineering role focused on building scalable, secure, and production-ready infrastructure that powers ML workflows end-to-end—from experimentation to deployment and monitoring. You’ll work alongside top-tier engineers across the US, LATAM, and Europe on cutting-edge projects in AI, cloud, and enterprise SaaS.

What you will do

• Design, implement, and maintain robust infrastructure for ML workflows.
• Build and support production-grade model lifecycle systems.
• Develop APIs and backend services in TypeScript and Python.
• Manage and optimize infrastructure using AWS and infrastructure-as-code.
• Collaborate with cross-functional teams to deliver high-impact features.
• Monitor and improve infrastructure reliability, security, and performance.

Requirements

• 7+ years in software or infrastructure engineering with proven experience supporting AI/ML systems.
• Deep hands-on experience with AWS services and modern IaC practices.
• Strong backend programming skills in TypeScript and Python.
• Production-level use of MLFlow for model management and deployment.
• Expertise in containerization, CI/CD automation, and orchestration tools.
• Solid understanding of designing scalable and secure systems in cloud-native environments.

Nice to have

• Exposure to LLM infrastructure and frameworks (e.g., DSPy, LangChain).
• Knowledge of LLM performance metrics: latency, cost monitoring, and usage optimization.
• Familiarity with semantic search tools and vector stores (e.g., OpenSearch, Pinecone).

Culture & Benefits

• Remote anywhere.
• Coworking space financial coverage.
• Flexible working hours.
• B2B with multiple benefits.
• Paid days off annually.
• Workspace program and paid courses/certifications.