AI Platform Engineer
New
This is a full-time position that is remote.Full-TimeSenior
SalaryCompetitive salary, company stock grant
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Job Details
- Required Skills
- AWSDockerKubernetesCI/CDTerraformLLM
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
- Expert-level proficiency in AWS; 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 like Triton, vLLM, TGI, TorchServe, training pipelines)
- 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
- Experience leading technical delivery on client projects or engagements
- Experience contributing to proposals, SOWs, or scoping exercises
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
- 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
- Work with strategy teams to advise on feasibility and help scope engineering efforts
- Navigate ambiguity in client environments with unclear requirements and evolving constraints
- Drive long-term strategic thinking about infrastructure patterns, tooling, and platform maturity
- Mentor junior and senior engineers on technical and non-technical dimensions
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