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

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