Member of Technical Staff - Platform Engineering

About the role

We are seeking an experienced Senior Platform Engineer to lead the "Inner Loop" of AI development. In this role, you will bridge high-velocity AI experimentation and enterprise-grade production infrastructure ensuring LLM applications, RAG pipelines, and agentic workflows are built, tested, and deployed with high reliability and efficiency.

What you'll do

• Deliver Platform Self-Service: Design internal APIs and abstractions allowing engineers to provision AI-ready environments complete with model weights, vector databases
• Build Agentic & Go-Based Automation: Develop robust, type-safe internal tooling and AI agents in Go and Python to automate root-cause analysis, disaster recovery
• Scale Event-Driven AI Pipelines: Architect asynchronous processing systems using Kafka and RabbitMQ to trigger dynamic infrastructure scaling and handle high-volume data…
• Ensure Reproducible Deployments: Maintain "Golden Path" deployment standards using Docker and Kubernetes to keep models, prompts
• Optimize AI Observability & Performance: Manage GPU workloads, distributed caches (Redis)

What you need

• Kubernetes
• Prometheus
• Grafana
• LLMs
• RabbitMQ
• Docker

Good to have

• Kafka
• Prompt engineering
• SOP writing
• Elasticsearch
• Python
• Go