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Tiger Analytics Inc.

Forward Deployed AI Engineer -Neo4j / Knowledge Graph

United States
Level
Mid
Work type
Remote · US only

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

About the role

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

  • Build GenAI, RAG, Agentic AI, and AI-powered applications.
  • Develop Neo4j Knowledge Graph / GraphRAG solutions – must have.
  • Build data and AI pipelines using Databricks and PySpark.
  • Develop scalable APIs, microservices, and backend applications using Python or Go.
  • Rapidly prototype and deliver POCs/MVPs for customer requirements.
  • Deploy AI solutions across AWS, 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 Inc.'s standard text

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.

What this role asks for

Particular to this role

Amazon Bedrock · Docker · Golang · Hugging Face · Microservices · Neo4j · Terraform

Rare in Tiger Analytics Inc.'s other 101 open postings.

Standard for data science / ML roles

LLM · PyTorch

Common in data science / ML postings at any company.

In most of Tiger Analytics Inc.'s ads

Python

Named in most of its open postings, whatever the role.

86% of this description is written for the role. The rest is Tiger Analytics Inc.'s standard text, folded away below.

Read against Tiger Analytics Inc.'s other open postings on this site.

The team: MLE HIRES STEADILY

This role is one of 26 open in MLE. 4 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Machine Learning (24 of 26), Python (23 of 26), AWS (17 of 26), Generative AI (17 of 26), LLM (15 of 26), GCP (14 of 26), LangChain (14 of 26)

OTHER ROLES ON THIS TEAM

From the team and dates on Tiger Analytics Inc.'s own job board.

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