Forward Deployed AI Engineer -Neo4j / Knowledge Graph

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client. We are looking for a Forward Deployed AI Engineer to build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions . The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production. Requirements

• Neo4j / Knowledge Graph – Mandatory • Generative AI / LLM / RAG / Agentic AI • Databricks / Spark / PySpark • Application Engineering – Python or Go • Rapid Prototyping / POC Development • Cloud: AWS / Azure / GCP • Strong problem-solving and debugging skills • Self-driven, customer-focused, and comfortable working in ambiguous environments Good to Have LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, Vector DBs, AWS Bedrock, Azure OpenAI, Kubernetes, Docker, Terraform, vLLM/Triton, PyTorch/Hugging Face. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.