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Forward Deployed AI Engineer -Neo4j / Knowledge Graph

Tiger Analytics Inc.
Posted 16 days ago, valid for 13 days
Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Tiger Analytics is seeking a Lead AI Engineer with significant experience to oversee the AI Engineering workstream for the Luma platform.
  • The role requires hands-on technical leadership in designing and delivering enterprise-scale AI solutions, with a focus on Generative AI and Knowledge Graph technologies.
  • Candidates should have expertise in Neo4j, Databricks, and application engineering using Python or Go, as well as experience in cloud platforms like AWS, Azure, or GCP.
  • The position offers a competitive salary, though the specific amount is not mentioned, and requires several years of relevant experience.
  • This role provides significant career development opportunities in a fast-growing, entrepreneurial environment.

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.

  • 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.

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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