FULLTHROTTLE
AI Platform Engineer
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Job Description
About fullthrottle.ai
At fullthrottle.ai, we're focused on delivering cutting-edge applications & data services to our clients, including advertising agencies, media companies and brands. Our patented, privacy-compliant technology powers next-level marketing by unlocking first-party data at scale—giving advertisers the edge they need in a cookieless world.
As a fully remote, fast-growing startup, we move quickly, embrace innovation, and follow an Agile/Scrum framework to deliver impactful solutions. We're looking for someone who thrives in a collaborative environment, enjoys solving complex technical challenges, and wants to help build and scale the future of AI at fullthrottle.ai.
The Role
As our AI Platform Engineer, you will ensure the reliable, secure, and scalable deployment of AI systems across fullthrottle’s platforms. You’ll focus on building and managing production infrastructure, developing robust APIs and microservices, and optimizing for cost-effective operations. This role requires hands-on expertise in AI/ML platform engineering, production deployment of AI systems, infrastructure as code, and cloud-native engineering to deliver high-performance AI solutions.
You will play a pivotal role in implementing best practices for deploying, operating, and scaling AI/ML systems in production, defining infrastructure as code for AWS, and driving observability and optimization across our AI production environments.
Key Responsibilities
- API & Microservices Development: Build and manage production-grade APIs and microservices to support scalable AI deployments.
- AI Agent Development: 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.
- Infrastructure as Code: Define and manage Terraform modules for AWS services (Lambda, S3, RDS, OpenSearch, etc.).
- **Observability & Mo...
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