AI Platform Engineer

FULLTHROTTLE LLC
United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

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)
+21 more
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

Job 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.

Requirements

  • 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.

Benefits & conditions

  • You haven’t previously built and managed production-grade APIs or infrastructure for AI systems.
  • You are not an 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.

About the company

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.

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