Senior AI Platform Engineer – Enterprise Systems

• Design, build, and ship production services, APIs, and user-facing interfaces where needed




• Own the full software lifecycle, including implementation, testing, code review, CI/CD, deployment, and maintenance




• Build and operate production AI systems covering RAG, evaluation, fine-tuning, serving, and inference optimization




• Turn prototypes into reusable platform capabilities with CI/CD, evaluation, and governance




• Architect AWS/GCP environments using Kubernetes, Terraform, and CI/CD for applications and model pipelines




• Own observability and incident response




• Partner on SOC 2/SOX and least-privilege IAM




• Manage cloud and AI spend through visibility, attribution, budgets, and reduction




• Optimize GPUs, inference routing, model selection, and right-sizing




• Track cost per request/token and GPU idle capacity




• Partner with product, engineering, and business stakeholders to deliver reliable software and reduce AI value delivery costs

Requirements

• 5+ years of professional software development experience owning production systems




• Experience shipping backend services/APIs and production AI/ML, including LLMs, RAG, and serving




• Strong Python skills plus a second stack: TypeScript/Node, Go, or Java




• Experience with PyTorch, TensorFlow, or equivalent serving




• Experience with AWS or GCP, Kubernetes, Terraform, and CI/CD




• Proven experience reducing or governing cloud/AI spend




• Ability to communicate technical and cost tradeoffs clearly and own deployed systems




• Applicant must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations




• Preferred: full-stack development with React/Next.js, vector databases, inference optimization, FinOps tooling, SOX/SOC 2, and Copilot/Cursor

Core Competencies

Demonstrates expertise in designing and deploying production services and APIs, with a strong focus on AI systems and cloud environments. Proficient in managing the software lifecycle, optimizing costs, and ensuring compliance with SOC 2/SOX standards.

Highest-signal resume keywords

• Production AI/ML Experience




• Strong Python Skills




• AWS/GCP Architecture




• Kubernetes and Terraform Proficiency




• CI/CD Implementation

Hard Skills

• Software Development




• Backend Services




• APIs




• AI/ML




• Python




• TypeScript




• Node




• Go




• Java




• PyTorch

Soft Skills

• Communication




• Collaboration

Industry Keywords

• SOC 2




• SOX




• Least-Privilege IAM




• Cost Optimization




• Incident Response

Tools & Technologies

• AWS




• GCP




• Kubernetes




• Terraform




• CI/CD




• React




• Next.js




• Vector Databases




• FinOps Tooling




• Copilot