GraphRAG Engineer
Core
Build and maintain the semantic, vector, and graph storage layer powering an enterprise AI platform's context engine and agentic workflows.
Role type
Senior IC GraphRAG Engineer (AI Infrastructure)
Builds
Enterprise AI utilities, Internal Developer Portal, and agentic coding workflows
Domain
Generative AI, Knowledge Graphs, Vector Search, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Neo4j (Cypher, APOC, causal clustering), pgvector, hybrid search, Kafka event streaming, Git/AST parsing, prompt engineering, agentic AI safeguards
Preferred skills
Terraform, Kubernetes (EKS/GKE), HashiCorp Vault, OpenTelemetry, LangChain, LlamaIndex
Technologies
Neo4j, PostgreSQL, AWS MSK, AWS/GCP, Kafka, LangChain, LlamaIndex, Terraform, Kubernetes, HashiCorp Vault, OpenTelemetry, Datadog, Grafana
Responsibilities
Provision and tune production-grade graph and vector database clusters; Build automated ingestion pipelines for Git repositories, ASTs, and CI/CD metadata; Connect pipeline engines to hydrate hybrid retrievers for AI-driven workflows; Configure circuit breakers and constraints for autonomous agent execution; Integrate microservices with the Enterprise AI Gateway; Implement high availability and cost controls across multi-cloud environments
Seniority
Senior, hands-on IC