Senior AI Platform Engineer
Core
Building shared production infrastructure for LLMs to increase engineering leverage, including model access, MCP infrastructure, agent execution, and observability.
Role type
Senior IC platform engineer (AI infrastructure)
Builds
Production AI platform services, MCP infrastructure, and agent runtime orchestration for engineering and product teams.
Domain
AI infrastructure, cloud platforms, distributed systems
Deliverable
production ML models | infrastructure
Required skills
backend service design, distributed systems, cloud platforms (GCP/AWS/Azure), Kubernetes, CI/CD, observability, authentication/authorization, secrets management
Preferred skills
LLM applications, agentic systems, RAG, MCP, model gateways, LLM observability, vector databases, semantic search, internal developer platforms, Python (FastAPI), Helm, Kubernetes operators
Responsibilities
Build and operate core AI infrastructure for 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
