Forward Deployed AI Engineer -Neo4j / Knowledge Graph at Tiger Analytics

Department: MLE

Setup: Remote
Type: Full-time
Level: lead/mgmt
Posted: Sep 1, 2026

Description

Tiger Analytics is hiring a Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. The role is hands-on and technical, focusing on enterprise-scale GenAI, RAG, Agentic AI, and Knowledge Graph solutions, including POC/MVP development, production deployment, scalable backend engineering, cloud infrastructure, and customer-facing technical consulting. Neo4j/Knowledge Graph, Generative AI, Databricks/PySpark, Python or Go, and cloud platforms are required; the role may work with AWS, Azure, or GCP.

Required Skills

Neo4j
Generative AI
PySpark
Python
Go
AWS
Azure
GCP
Kubernetes

Additional Information

Required Previous Experiences: Highly experienced AI engineering experience
Preferred Qualifications: Experience with LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, vector databases, AWS Bedrock, Azure OpenAI, Kubernetes, Docker, Terraform, vLLM/Triton, PyTorch, or Hugging Face
Translation Company Name: Tiger Analytics Inc.

Benefits & perks

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
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, nation