Infrastructure Engineer
Core
Design, build, and test scalable agentic AI platforms supporting multi-step autonomous agents, translating architectural designs into production environments.
Role type
Senior IC Infrastructure Engineer (Agentic AI Systems)
Builds
Production-ready agentic AI platforms, MCP servers, and agent ecosystems
Domain
Artificial Intelligence / Large Language Models / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, TypeScript, Node.js, LLM fundamentals, API design (REST, gRPC), distributed systems, cloud platforms, agent frameworks (LangChain, LlamaIndex, AutoGen)
Preferred skills
Model Context Protocol (MCP), vector databases, real-time streaming, multi-turn agent interactions, guardrails design
Technologies
Python, TypeScript, Node.js, REST, gRPC, Protocol Buffers, LangChain, LlamaIndex, AutoGen
Responsibilities
Design and build scalable agentic AI platforms supporting multi-step autonomous agents; Architect and implement Model Context Protocol (MCP) servers and client ecosystems; Develop agent adaptors for multiple LLMs, tools, and AI frameworks; Build Agent APIs (REST + gRPC) for lifecycle, streaming, and orchestration; Implement multi-agent execution patterns like ReAct and Plan-and-Execute; Ensure security, observability, and reliability of agent workflows
Seniority
Senior, hands-on IC