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 aForward Deployed AI Engineerto build and deploy enterpriseGenAI, RAG, Agentic AI, and Knowledge Graph solutions. The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.

Requirements

• BuildGenAI, RAG, Agentic AI, and AI-powered applications.
• DevelopNeo4j Knowledge Graph / GraphRAG solutions–must have.
• Build data and AI pipelines usingDatabricks and PySpark.
• Develop scalable APIs, microservices, and backend applications usingPython or Go.
• Rapidly prototype and deliverPOCs/MVPsfor customer requirements.
• Deploy AI solutions acrossAWS, Azure, or GCP.
• Work with LLM frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
• Troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
• Act as a technical consultant and work closely with enterprise customers.

Must-Have Skills

• 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.