Forward Deployed AI Engineer -Neo4j / Knowledge Graph

United Statesremotemid

Posted 6 days ago · via Workable

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About this 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 .…

Read the full description on Tiger Analytics's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, go, databricks, neo4j, aws…

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is remote-eligible — we factor in your stated location and time-zone overlap.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythongodatabricksneo4jawsazuregcpkubernetesdockerterraformsparkpysparklangchainllamaindexopenaibedrock

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