Job Title: DevOps Engineer (with Agentic AI Stack Knowledge)
Location: Alpharetta, GA (Onsite from Day 1)
Job Description:
We are looking for an experienced DevOps Engineer with strong expertise in Agentic AI frameworks, MLOps, and cloud-native technologies on GCP. The ideal candidate will have hands-on experience with Terraform, CI/CD pipelines, container orchestration, and modern AI/ML infrastructure, including LLMs and prompt engineering techniques.
Key Responsibilities:
Develop and manage infrastructure as code using Terraform (preferred) or CloudFormation
Implement CI/CD pipelines using Jenkins, GitLab, AWS CodeDeploy, or similar tools
Manage containerized applications using Kubernetes, GKE, Cloud Run, or serverless solutions
Work with GCP-native tools like BigQuery, CloudStorage, Dataflow, VertexAI, Pub/Sub
Support the AI/ML lifecycle, including model training/deployment using TensorFlow, PyTorch, BigQuery ML
Apply MLOps principles, prompt engineering, and context management techniques
Build and support Agentic AI solutions using frameworks like LangGraph, Google ADK, or MCP
Collaborate with full-stack and AI teams for end-to-end deployment and optimization
Required Skills:
Strong DevOps background with 7+ years of experience
Experience in Agentic AI frameworks and Python libraries
Hands-on expertise with cloud-native architectures, GCP tools, and AI/ML technologies
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