Senior AI Platform Engineer — Multi-Agent Systems
Core
Architecting, building, and operating production-grade multi-agent systems and agentic workflows at scale.
Role type
Senior IC AI Platform Engineer (Multi-Agent Systems)
Builds
Production infrastructure for intelligent agents, orchestration frameworks, tool-calling architectures, and long-running asynchronous workflows.
Domain
AI/ML infrastructure, Distributed Systems, Backend Engineering
Deliverable
production ML models
Required skills
Distributed systems design, Backend engineering, Python/Go/Java/TypeScript, Cloud platforms (AWS/GCP/Azure), Kubernetes, Asynchronous/event-driven architectures, System design, API design, Observability, Agent orchestration, Tool selection and calling, State and context management, Model routing and fallback, Human-in-the-loop systems, Agent evaluation frameworks.
Preferred skills
Experience with LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, Temporal, Ray, Vector databases, Semantic/hybrid search, RAG, LLM evaluation systems.
Responsibilities
Design and deploy multi-agent architectures with agent-to-agent communication and coordination. Build tool-calling systems connecting agents to APIs and external services. Implement planning, task decomposition, and long-running workflow execution. Develop context, state, and memory management systems for agents. Create monitoring, tracing, and evaluation frameworks for production AI. Design model-routing and fallback mechanisms for reliability. Implement human-in-the-loop controls for sensitive actions. Optimize latency, cost, and throughput for agentic systems.
Seniority
Senior, hands-on IC
