AI Platform Engineer, Fullthrottle.ai 

We are Fullthrottle.ai, a forward-thinking SaaS company that’s all about helping businesses accelerate their growth with cutting-edge AI technology. As a startup, we've got a "go get 'em" mentality, and we're looking for like-minded people who want to build something incredible. We operate as a distributed, fully remote team and follow an Agile/Scrum framework to stay nimble and get things done. 

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 operation. This role requires hands-on expertise in MLOps, infrastructure as code, and cloud-native engineering to deliver high-performance AI solutions. 

You will play a pivotal role in implementing MLOps best practices, 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. 

* MLOps & CI/CD: Implement MLOps best practices and CI/CD pipelines for seamless model deployment and updates. 

* Infrastructure as Code: Define and manage infrastructure as code for AWS services (Lambda, S3, DynamoDB, OpenSearch). 

* Observability & Monitoring: Monitor system performance and implement observability practices to ensure reliability and rapid issue resolution. 

* 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. 

Required Qualifications 

* 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). 

* 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. 

You're Not a Fit If... 

* You haven’t previously built and managed production-grade APIs or infrastructure for AI systems. 

* You are not expert in Python and/or AWS. 

* You prefer a slow-moving environment and are not comfortable with the pace of a startup. 

* You prefer to react to problems rather than plan ahead strategically. 

* You do not want to be hands-on with the technical details of the role.

Our Core Principles 

* We're a team that believes in big ideas and fast execution, adopting a "crawl, walk, run" approach to innovation. We're looking for someone who embodies these principles: 

* Customer Centricity: We always put our customers first. 

* Growth Mindset: We are constantly learning and evolving. 

* Accountability & Integrity: We take ownership and act with honesty. 

* Collaboration & Humility: We work together and value every voice. 

* Open Communication: We believe in transparency and direct feedback. 

If you are a passionate, experienced AI platforms 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.