AI Platform Engineer
New
F
fullthrottle.aiAI advertising technology
Source API remote eligibility restrictions: United StatesFull-TimeJunior
Salary not disclosed
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Job Details
- Experience
- Minimum 2+ years of hands-on AI engineering experience
- Required Skills
- AWSDockerPythonTerraformCloudFormationPrompt Engineering
Requirements
- Have a minimum of 2+ years of hands-on AI engineering experience, including building and deploying scalable infrastructure for AI/ML systems.
- Have expert-level Python and AWS experience, including Lambda, API Gateway, and CloudWatch.
- Bring hands-on experience with AI/ML systems, including model integration, inference workflows, or lightweight model development.
- Have experience with Amazon Bedrock, including AgentCore Runtime, LLM prompt engineering, or agent frameworks.
- Be comfortable building and iterating on AI/ML-driven application logic and agent workflows in production.
- Have strong experience with Terraform and/or CloudFormation for AWS resource management.
- Have proven ability to operate large-scale, multi-tenant SaaS architectures in production.
- Understand system monitoring, cost optimization, and compliance in cloud environments.
- Hold a bachelor’s degree in Computer Science, Data Engineering, or a related field.
- Work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Responsibilities
- Build and manage production-grade APIs and microservices for scalable AI deployments.
- Build, tune, and deploy AI agents using Amazon Bedrock AgentCore Runtime and the Strands Agent SDK.
- Design system prompts, implement tool routing, and optimize agent latency and accuracy.
- Define and manage Terraform modules for AWS services, including Lambda, S3, RDS, and OpenSearch.
- Monitor system performance using New Relic, CloudWatch, and OpenTelemetry, and implement observability and alerting practices.
- Build and maintain CodePipeline and CodeBuild pipelines for automated testing, Docker builds, and ECS deployments.
- Optimize infrastructure and operations for cost, latency, and reliability.
- Ensure systems meet compliance standards and maintain security controls.
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