Senior AI Platform Engineer

📋 Description

• Design, build, and ship production services, APIs, and (where needed) user-facing interfaces.
• Own the full lifecycle: implementation, tests, code review, CI/CD, deploy, and maintenance.
• Write maintainable code in Python plus one more stack (TypeScript/Node, Go, or Java).
• Build and operate production AI systems: RAG, evaluation, fine-tuning, serving, and inference
• Turn prototypes into reusable platform capabilities with CI/CD, eval, and governance.
• Architect AWS/GCP environments with Kubernetes, Terraform, and CI/CD for apps and model pipelines.

🎯 Requirements

• 5+ years of professional software development, owning production systems (not only scripts or
• Shipped backend services/APIs and production AI/ML (LLMs, RAG, serving).
• Strong Python plus a second stack; PyTorch, TensorFlow, or equivalent serving.
• AWS or GCP with Kubernetes, Terraform, and CI/CD.
• Proven work reducing or governing cloud/AI spend.
• Clear communication of technical and cost tradeoffs; you run what you build.

🎁 Benefits

• Create a diverse and inclusive workplace
• Equal opportunity employer
• Welcome people of different backgrounds, experiences, abilities and perspectives