Description

You will own the deployment and management of scalable infrastructure for generative AI solutions on AWS.

Responsibilities

• Deploy LLMs on AWS Bedrock using boto3 for scalable inference.
• Manage SageMaker pipelines for LLM fine-tuning using EKS and Auto Scaling.
• Configure CI/CD pipelines using GitlabCI and Terraform.
• Set up Retrieval Augmented Generation (RAG) infrastructure with AWS OpenSearch and langchain within VPCs.
• Deploy AI agents (crewai/autoegen) on AWS Lambda integrated with n8n.
• Orchestrate container deployments using Docker on Amazon ECS/EKS with Kubernetes.
• Manage networking, including Route 53 and NAT Gateway, ensuring secure access.
• Monitor infrastructure health using Amazon CloudWatch and wandb.

Required Skills

• 5+ years of DevOps experience with AWS and AI workflows.
• Expertise in AWS Bedrock, SageMaker, EC2, VPC, Route 53, NAT Gateway, and Auto Scaling.
• Proficiency in Terraform, Docker, Kubernetes, langchain, and n8n workflows.
• Experience configuring CI/CD with GitlabCI and CodePipeline/CodeBuild.
• Strong command of AWS services including ECS and EKS.

Preferred Skills

• AWS certification (DevOps Engineer or Solutions Architect).
• Familiarity with llamaindex and n8n templates.

Key Skills

Education

Any Graduate