AI Engineer / Architect
Core
Design and deploy multi-agent AI systems, architect high-concurrency backend services, and build automated evaluation pipelines for non-deterministic agent behaviors.
Role type
Senior AI Engineer / Architect (Multi-Agent & LLM)
Builds
Production-grade multi-agent workflows, distributed backend services, and AI evaluation infrastructure
Domain
Artificial Intelligence, Distributed Systems, Backend Engineering
Required skills
Python, asyncio, FastAPI, LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, Google ADK, Claude SDK, Model inference, Prompt Engineering, Tool/Function Calling, Model Context Protocol (MCP), Agentic Workflows, Docker, OpenShift, CI/CD pipeline design
Preferred skills
None stated
Technologies
LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, Google ADK, Claude SDK, Docker, OpenShift
Responsibilities
Guide AI technology stack selection and system architecture design; Design and deploy multi-agent systems with complex workflow orchestrations; Build automated evaluation pipelines to validate agent behaviors; Architect and deploy high-concurrency, high-availability web services; Mentor engineering team on LLM architectures and AI best practices
Seniority
Senior, hands-on IC