[Remote] AI Platform Engineer
Note: The job is a remote job and is open to candidates in USA. fullthrottle.ai is a fast-growing startup focused on delivering innovative applications and data services to clients in the advertising and media sectors. They are seeking an AI Platform Engineer to ensure the reliable and scalable deployment of AI systems, build production infrastructure, develop APIs and microservices, and optimize operations for cost and performance.
Responsibilities
- Build and manage production-grade APIs and microservices to support 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 for latency and accuracy
- Define and manage Terraform modules for AWS services (Lambda, S3, RDS, OpenSearch, etc.)
- Monitor system performance and implement observability practices using tools such as New Relic, Cloudwatch, and OpenTelemetry to ensure reliability, proactive alerting, and rapid issue resolution
- Build and maintain CodePipeline/CodeBuild pipelines for automated testing, Docker builds, and ECS deployments
- Optimize infrastructure and operations for cost, latency, and reliability, ensuring efficient use of resources
- Ensure systems meet compliance standards and maintain robust security controls
Skills
- Minimum 2+ years of hands-on AI engineering experience, including building and deploying scalable infrastructure for AI/ML systems
- Expert-level Python and AWS (Lambda, API Gateway, CloudWatch)
- Hands-on experience with AI/ML systems, including model integration, inference workflows, or lightweight model development, along with Amazon Bedrock (including AgentCore Runtime), LLM prompt engineering, or agent frameworks. Must be comfortable building and iterating on AI/ML-driven application logic and agent workflows in production
- Strong experience with Terraform and/or CloudFormation for AWS resource management
- Proven ability to operate large-scale, multi-tenant SaaS architectures in production
- Deep understanding of system monitoring, cost optimization, and compliance in cloud environments
- Bachelor's degree in Computer Science, Data Engineering, or a related field. Relevant certifications in AWS or DevOps are a plus
- Proven ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders
Company Overview