AI Engineer 4A
Core
Build, automate, and maintain CI/CD, cloud, and container platforms for Generative AI and Agentic AI applications.
Role type
DevOps Engineer (AI Infrastructure)
Builds
CI/CD pipelines, containerized AI services, and scalable model-serving infrastructure
Domain
Cloud Infrastructure & AI/ML Operations
Deliverable
infrastructure
Required skills
Python, Bash, Docker, Kubernetes, Terraform, AWS/Azure/GCP, Jenkins/GitLab/GitHub Actions, Git, Linux, Prometheus/Grafana/ELK
Preferred skills
vLLM/Triton/KServe, LangGraph/CrewAI, Pinecone/Weaviate, ArgoCD/Flux, HashiCorp Vault
Technologies
Jenkins, GitLab CI/CD, GitHub Actions, Docker, Kubernetes, Terraform, CloudFormation, AWS, Azure, GCP, Prometheus, Grafana, ELK, vLLM, Triton, KServe, LangGraph, CrewAI, Pinecone, Weaviate, Milvus, ArgoCD, Flux, HashiCorp Vault
Responsibilities
Support end-to-end DevOps/MLOps/LLMOps infrastructure; Build and maintain CI/CD pipelines for model deployment; Package applications using Docker and manage Kubernetes clusters; Write Infrastructure as Code for cloud provisioning; Assist in deploying model-serving and GenAI components; Enable scalable model-serving infrastructure with GPU orchestration; Set up monitoring, logging, and alerting; Support security practices including vulnerability scanning and secrets management.
Seniority
Mid-level, hands-on IC