Backend Engineer (AI Infrastructure)

TL;DR

Backend Engineer (AI Infrastructure): Building and optimizing robust infrastructure for ML workflows with an accent on model lifecycle management and orchestration. Focus on designing scalable backend services using Python and TypeScript to support production-ready ML pipelines in cloud-native environments.

Company

hirify.global is a cloud-native engineering firm delivering high-impact solutions in infrastructure, machine learning, and intelligent applications for pioneering technology companies.

What you will do

• Design, implement, and maintain robust infrastructure for ML workflows across real-time and batch environments.
• Build and support production-grade model lifecycle systems, including registration, versioning, and deployment.
• Develop APIs and backend services using TypeScript and Python.
• Manage and optimize infrastructure on AWS using infrastructure-as-code practices.
• Work with MLFlow for end-to-end model management, including serving pipelines.
• Collaborate with cross-functional teams, including ML scientists and DevOps, to deliver high-impact features.

Requirements

• 7+ years of experience in software or infrastructure engineering supporting AI/ML systems.
• Strong hands-on experience with AWS and IaC tools like Terraform or CDK.
• Proficiency in backend development with TypeScript and Python.
• Production-level experience with MLFlow for model deployment and management.
• Expertise in containerization with Docker, CI/CD automation, and orchestration.
• Strong communication skills for cross-functional collaboration.

Nice to have

• Experience with LLM infrastructure frameworks like DSPy or LangChain.
• Knowledge of LLM performance metrics, latency, and cost monitoring.
• Familiarity with vector stores like OpenSearch or Pinecone.

Culture & Benefits

• Fully remote work from anywhere with flexible working hours.
• B2B contract structure with access to multiple benefits.
• Workspace setup budget of $2500 for equipment.
• Financial coverage for coworking space rentals.
• Comprehensive support for professional development, including paid certifications and international conference attendance.
• Annual paid time off.