Backend Engineer (AI/ML)

TL;DR

Backend Engineer (AI/ML Platform): Building and maintaining robust infrastructure for ML workflows with an accent on model lifecycle systems, API design, and cloud-native orchestration. Focus on implementing scalable, production-ready systems using AWS and MLFlow to support high-impact AI/ML applications.

Company

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

What you will do

• Design and implement robust infrastructure for real-time and batch ML workflows.
• Build production-grade model lifecycle systems including registration, versioning, and deployment pipelines.
• Develop backend services and APIs using TypeScript and Python.
• Manage cloud infrastructure on AWS using infrastructure-as-code practices.
• Collaborate with ML scientists and DevOps to optimize system reliability and performance.
• Manage model assets, serving pipelines, and container orchestration workflows.

Requirements

• 7+ years of experience in software or infrastructure engineering supporting AI/ML systems.
• Strong backend programming proficiency in Python and TypeScript.
• Production-level experience with MLFlow for model management.
• Deep hands-on expertise with AWS and modern Infrastructure-as-Code (Terraform or CDK).
• Expertise in containerization (Docker) and CI/CD automation.
• Excellent communication skills with the ability to work effectively across distributed time zones.

Nice to have

• Experience with LLM infrastructure and frameworks like LangChain or DSPy.
• Knowledge of LLM performance metrics including latency, cost, and usage monitoring.
• Familiarity with vector stores and semantic search tools such as OpenSearch or Pinecone.

Culture & Benefits

• Fully remote work with flexible working hours.
• B2B contract model with multiple benefits.
• Workspace setup budget of $2,500 for equipment.
• Financial coverage for local coworking spaces.
• Budget for professional certifications (AWS, CKA, ML) and paid training courses.
• Opportunities to attend international technology conferences.