Senior Gen AI Engineer

Sourced from flexgen.zya.me

Design and operate autonomous AI agents that reason over large-scale knowledge graphs, integrating live data sources. Requires deep expertise in graph databases, LLM orchestration, and retrieval-augmented pipelines.

• Design and maintain property graphs and RDF triplestores; develop ontologies and entity-relationship schemas; build graph ingestion pipelines; optimize graph traversal queries; train and deploy graph neural networks; architect multi-step reasoning agents using LLMs; implement graph-aware RAG pipelines; integrate web scraping and OSINT sources; package agents as microservices; monitor accuracy and hallucination rates.

• 5+ years software engineering with strong Python or Java/Kotlin; production experience with graph databases (Neo4j, Amazon Neptune, etc.); proficiency in graph query languages (Cypher, SPARQL, Gremlin); experience building LLM-powered agents with frameworks like LangChain, LangGraph, or LlamaIndex; solid understanding of RAG architectures; familiarity with prompt engineering and LLM evaluation.

• Experience in trade-craft or intelligence-adjacent environments where provenance, precision, and adversarial robustness are critical.