AI Platform Engineer

New

Based in the United StatesFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of experience building and operating production software systems.
Strong hands-on experience with AWS in production environments.
Experience managing Infrastructure as Code using Pulumi, Terraform, CloudFormation, or similar.
Experience building CI/CD pipelines with tools such as GitHub Actions.
Strong Python development skills for building backend systems and APIs.
Proficiency with AWS services: ECS, Docker, IAM, VPC, RDS, S3, Lambda, CloudWatch, SNS/SQS.
Knowledge of AI infrastructure concepts: LLM workflows, vector databases, RAG, and ML operations.
Experience with Amazon Bedrock, SageMaker, OpenSearch, or Dagster is highly desirable.
Understanding of reliability, observability, automation, and scalable architecture principles.
Strong written communication skills and effective cross-team collaboration ability.

Design, build, and maintain scalable cloud infrastructure across production environments.
Manage AWS services including networking, IAM, compute, storage, databases, security, and operational tooling.
Develop and maintain Infrastructure as Code solutions using Pulumi, Terraform, or similar technologies.
Create reusable infrastructure components and automate manual processes.
Build and optimize CI/CD pipelines to improve deployment speed and safety.
Support AI infrastructure initiatives, including LLM workflows, model deployment, and retrieval-augmented generation systems.
Operationalize AI solutions using Amazon Bedrock, SageMaker, OpenSearch, and related technologies.
Improve system observability, monitoring, incident response, and root-cause analysis.
Enhance platform reliability, scalability, and cost efficiency through automation.

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