Principal Engineer
Core
Architect and implement scalable multi-agent systems, agentic workflows, and Vector/GraphRAG solutions for enterprise-scale AI applications.
Role type
Principal Agentic AI Engineer
Builds
Scalable multi-agent systems, agentic workflows, Vector RAG & GraphRAG architectures, hybrid cloud data platforms
Domain
Artificial Intelligence, Generative AI, Knowledge Engineering, Semiconductor/Storage
Deliverable
production ML models
Required skills
Python, Agentic frameworks, Knowledge engineering, Graph tech (Neo4j, Neptune), Vector DBs, Hybrid-cloud design, Technical leadership
Preferred skills
Semiconductor/NAND/storage/firmware/manufacturing domain experience
Technologies
AWS, GCP, Kubernetes, Claude ecosystem, MCP, AWS AgentCore, Neo4j, Neptune
Responsibilities
Architect and implement scalable multi-agent systems; Build agentic workflows on the Claude ecosystem; Design, develop and optimize Vector RAG & GraphRAG; Deliver technology-agnostic hybrid architecture; Implement Data ETL pipelines; Partner across teams, lead PoCs, mentor, and set standards
Seniority
Principal, hands-on IC with strategy & mentorship
