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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** FULLTHROTTLE LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Business Logic, Automation of Tests, Software as a Service, Cloud Engineering, Information Engineering, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Deployment, Systems Integration, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Cloudformation, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Virtual Agents, Functional Programming, Cloudwatch, Api Gateway, Terraform, New Relic (SaaS), Docker, Microservices - **Published:** June 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3fe703dc5462eb40 ## About the Role * Experience: Minimum 2+ years of hands-on AI engineering experience, including building and deploying scalable infrastructure for AI/ML systems. * Technical Expertise: Expert-level Python and AWS (Lambda, API Gateway, CloudWatch). * AI/ML Experience: 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. * Infrastructure as Code: Strong experience with Terraform and/or CloudFormation for AWS resource management. * Production Experience: Proven ability to operate large-scale, multi-tenant SaaS architectures in production. * Monitoring & Optimization: Deep understanding of system monitoring, cost optimization, and compliance in cloud environments. * Education/Certifications: Bachelor's degree in Computer Science, Data Engineering, or a related field. Relevant certifications in AWS or DevOps are a plus. * Collaboration: Proven ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders., If you are a passionate, experienced AI platform engineer with a drive to build and optimize advanced AI infrastructure, we want to hear from you. This is an opportunity to make a real impact at a dynamic and growing company. ## Description 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., * 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 & Monitoring: 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. * CI/CD Pipelines: Build and maintain CodePipeline/CodeBuild pipelines for automated testing, Docker builds, and ECS deployments. * Optimization: Optimize infrastructure and operations for cost, latency, and reliability, ensuring efficient use of resources. * Compliance & Security: Ensure systems meet compliance standards and maintain robust security controls. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)