AI Platform Engineer
New
K
KUNGFU.AIAI Consulting
This is a full-time position that is remote.Full-TimeSenior
SalaryCompetitive salary, company stock grant
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSDockerKubernetesMachine LearningAzureCI/CDTerraformLLM
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
- Expert-level proficiency in AWS and working proficiency in Azure.
- Expert-level experience with Infrastructure as Code (Terraform and/or AWS CDK) across complex, multi-environment deployments.
- Deep experience designing and operating containerized systems at scale (Docker, ECS/Fargate, 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 (model serving, inference servers, training pipelines, data pipeline tooling).
- Experience deploying and managing LLM-based applications in production (RAG pipelines, API orchestration, vector stores, prompt management).
- Experience provisioning and managing GPU-accelerated compute environments.
- Demonstrated ability to define reusable infrastructure patterns and standards.
- 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.
Responsibilities
- Design and maintain reference architectures, templates, starter kits, and golden paths that standardize infrastructure patterns across client engagements.
- Lead select client projects, including building trusted client relationships and owning infrastructure delivery with light DoE support.
- Drive code quality and infrastructure standards across project teams through code review, pairing, and establishing conventions.
- Evaluate and rapidly adopt emerging cloud services, infrastructure tooling, and deployment patterns.
- Contribute to SOW development by scoping infrastructure effort, identifying risks, and defining technical approach for proposals.
- Work with strategy teams to advise on feasibility and help scope engineering efforts on roadmaps.
- Coordinate cross-functionally with BD, marketing, and strategy teams on infrastructure-related topics.
- Drive long-term strategic thinking about infrastructure patterns, tooling choices, and platform maturity.
- Mentor junior and senior engineers on both technical and non-technical dimensions.
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