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
Deliverable
production ML models | product features | infrastructure
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
