Job
Core
Building shared production infrastructure for LLMs and AI agents to increase engineering leverage across the development lifecycle.
Role type
Senior IC Platform Engineer (AI Infrastructure)
Builds
Secure model access, MCP infrastructure, agent runtime/orchestration, observability, and evaluation frameworks for AI workloads.
Domain
AI/ML Infrastructure, Cloud Platforms, Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Backend/Platform service design, Distributed systems, Cloud platforms (GCP/AWS/Azure), Kubernetes, CI/CD, Observability, Auth/Authorization/Secrets management, System architecture
Preferred skills
LLM applications, Agentic systems, RAG, MCP, Model gateways, Vector databases, Semantic search, Internal developer platforms, Python (FastAPI), Helm, Kubernetes operators
Responsibilities
Build and operate core AI infrastructure including model access and provider abstraction; Build managed MCP infrastructure with access control and auditability; Design runtime and orchestration capabilities for production AI agents; Build observability, evaluation, and security guardrails for AI workloads; Collaborate with teams to turn AI use cases into reusable platform capabilities; Own systems end-to-end from architecture to production support.
Seniority
Senior, hands-on IC
