Principal Engineer

Overview

Principal Agentic AI Engineer role focused on architecting multi-agent systems, RAG/GraphRAG solutions and hybrid-cloud AI platforms.

What you'll do

• Architect and implement scalable multi-agent systems: A2A collaboration, memory, reasoning, tool use, workflow orchestration, observability.
• Build agentic workflows on the Claude ecosystem: Claude Code–style engineering, MCP tool access, and AWS AgentCore runtime patterns.
• Design, develop and optimize Vector RAG & GraphRAG: 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 tech (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 - Phoenix Aquila, India.