Job Description
Job DescriptionPay Range: $60 - $65/hr.
Required Skills
" Strong cloud engineering and AI/ML platform engineering experience.
" Kubernetes, containers, Infrastructure as Code, CI/CD, and API technologies.
" Python and software engineering experience.
" Experience with ML/LLM deployment and GenAI frameworks.
" Knowledge of vector databases, embedding models, model APIs, and AI orchestration.
" Experience with monitoring, telemetry, security, and production support.
" Experience: 5 years in software engineering, distributed systems, cloud infrastructure, or the AI/ML lifecycle.
" Programming: Advanced proficiency in Python; additional experience in Go, C , or Rust is often preferred.
" Infrastructure & Cloud: Hands-on expertise with Kubernetes, Docker, and cloud platforms like AWS (SageMaker, Bedrock) or Azure (AI Foundry, OpenAI).AI Frameworks: Familiarity with orchestration and LLM tooling such as LanEligible to workhain, LangGraph, Ray, or Kubeflow.
" Infrastructure-as-Code (IaC): Knowledge of automation tools like Terraform and Ansible.