Forward Deployed AI Engineer -Neo4j / Knowledge Graph

Description: Lead the end-to-end AI Engineering workstream for the Luma platform. Build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions. Work directly with customers to rapidly develop POCs/MVPs and take solutions into production. Requirements: Mandatory experience with Neo4j / Knowledge Graph. Proficiency in Generative AI, LLM, RAG, and Agentic AI. Experience with Databricks, Spark, and PySpark. Application engineering skills in Python or Go. Ability to rapidly prototype and develop POCs. Familiarity with cloud platforms: AWS, Azure, or GCP. Strong problem-solving and debugging skills. Self-driven and customer-focused, comfortable in ambiguous environments. Benefits: Significant career development opportunities as the company grows. Opportunity to work in a fast-growing, challenging, and entrepreneurial environment with high individual responsibility.