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Tiger Analytics

Forward Deployed AI Engineer -Neo4j / Knowledge Graph

Posted 2 Months Ago
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
Lead hands-on architecture, development, deployment, and optimization of enterprise GenAI, RAG, Agentic AI, and Neo4j Knowledge Graph solutions. Build data pipelines, APIs, microservices, and cloud-native AI infrastructure; rapidly deliver customer POCs and production systems. Serve as the primary technical interface for enterprise clients, troubleshooting performance, scalability, reliability, and cost issues while providing technical consulting.
The summary above was generated by AI

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 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.

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