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    Home/Jobs/AI Platform Engineer

    AI Platform Engineer

    Fullthrottle.ai

    United States
    2+ years
    Today
    ₹6–15 LPA
    Full-time
    Remote

    Skills Required

    Python
    AWS
    Lambda
    API Gateway
    CloudWatch
    Terraform
    Amazon Bedrock
    AgentCore Runtime
    New Relic
    OpenTelemetry
    CodePipeline
    CodeBuild
    ECS
    Docker
    Strands Agent SDK

    Description

    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. 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.

    Company: fullthrottle.ai

    Role: AI Platform Engineer

    Location: Remote

    Experience:

    • Minimum 2+ years of hands-on AI engineering experience, including building and deploying scalable infrastructure for AI/ML systems
    • Proven ability to operate large-scale, multi-tenant SaaS architectures in production

    Key Skills:

    • Python
    • AWS (Lambda, API Gateway, CloudWatch)
    • Terraform
    • CloudFormation
    • Amazon Bedrock (including AgentCore Runtime)
    • LLM prompt engineering
    • agent frameworks
    • New Relic
    • Cloudwatch
    • OpenTelemetry

    Qualification:

    • Bachelor’s degree in Computer Science, Data Engineering, or a related field
    • Relevant certifications in AWS or DevOps are a plus

    Role Focus:

    • 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
    • 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
    • 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

    Other:

    • We're a team that believes in big ideas and fast execution, adopting a "crawl, walk, run" approach to innovation
    • Our Core Principles: Customer Centricity, Growth Mindset, Accountability & Integrity, Collaboration & Humility, Open Communication

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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