RRemoteville

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KUNGFU.AI logoKUNGFU.AI

AI Platform Engineer

Skills
Computer ScienceAdoptionAmazon Web ServicesBusiness DevelopmentCost EngineeringECSOptimization
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor's degree in Computer Science Software Engineering or related field or equivalent practical experience
  • Expert-level proficiency in AWS
  • Working proficiency in Azure
  • Expert-level experience with Infrastructure as Code using Terraform and/or AWS CDK across complex multi-environment deployments
  • Deep experience designing and operating containerized systems at scale including Docker ECS/Fargate and EKS/Kubernetes
  • Experience designing CI/CD strategies for multi-project or multi-team environments
  • Strong understanding of security networking and compliance across cloud environments
  • Experience with ML workflow infrastructure including model serving inference servers training pipelines and data pipeline tooling in collaboration with ML practitioners
  • Experience deploying and managing LLM-based applications in production including RAG pipelines API orchestration vector stores and prompt management
  • Experience provisioning and managing GPU-accelerated compute environments including instance selection driver/runtime configuration scaling strategies and cost optimization
  • Demonstrated ability to define reusable infrastructure patterns and standards adopted across teams or projects
  • Experience leading technical delivery on client projects or engagements
  • Experience contributing to proposals SOWs or scoping exercises
  • Strong client relationship and communication skills
  • Experience mentoring engineers at multiple levels

Nice to have

  • Client-facing
  • Collaborative
  • Strategic
  • Ambiguous environments
  • Technical leadership
  • Mentorship

Day to day

  • Design and maintain reference architectures templates starter kits and golden paths that standardize infrastructure patterns across client engagements
  • Lead select client projects by building trusted client relationships and owning infrastructure delivery with light Director of Engineering support
  • Drive code quality and infrastructure standards through code review pairing conventions and reusable patterns
  • Evaluate emerging cloud services infrastructure tooling and deployment patterns and recommend adoption when they improve team outcomes
  • Contribute to SOW development and roadmap feasibility by scoping infrastructure effort identifying risks and defining technical approach
  • Collaborate cross-functionally with business development strategy and marketing teams on infrastructure-related topics
  • Navigate ambiguity in client environments and shape long-term infrastructure strategy platform maturity and tooling choices
  • Mentor junior and senior engineers on technical and non-technical dimensions

Hiring process

  • Send resume and cover letter