Principal Engineer

Overview

Principal Agentic AI Engineer role building agentic AI workflows, multi-agent systems and RAG/GraphRAG solutions across hybrid cloud architectures.

What you'll do

• Build agentic workflows on the Claude ecosystem: Claude Code–style engineering, MCP tool access, and AWS AgentCore runtime patterns
• Consult, architect and implement scalable multi-agent systems: A2A collaboration, memory, reasoning, tool use, workflow orchestration, observability
• Design, develop and optimize Vector RAG and GraphRAG: ontology definition, retrieval, semantic search, grounding, citation, graph traversal, and context engineering
• Deliver technology-agnostic hybrid architecture across AWS, GCP, Kubernetes, and on-prem/distributed data platforms
• Implement data ETL pipelines of engineering data
• Partner across engineering, manufacturing, product, validation, and data teams; lead PoCs, mentor, and set standards

What you'll need

• Bachelor's in CS, AI, Data Science, or a related field
• 8+ years in software/AI-ML, enterprise, platform, or knowledge engineering
• Proven delivery of enterprise-scale Agentic AI, Generative AI, and RAG/GraphRAG solutions
• Hands-on Python plus agentic frameworks
• Knowledge engineering: ontologies, taxonomies, semantic modeling; graph technology (Neo4j, Neptune) and vector DBs
• Working knowledge of the Claude ecosystem, MCP integrations, and AWS AgentCore
• Hybrid-cloud design (AWS + GCP + on-prem) and the technical leadership to drive architecture, technology selection, and adoption
• Strong cross-functional communication and stakeholder skills; use of AI-assisted coding to automate workflows

Nice to have

• Semiconductor / NAND / storage / firmware / validation / manufacturing / reliability / RCA or systems-engineering domain experience

Details

• Location: Hyderabad, Telangana, India