Forward Deployed AI Engineer -Neo4j / Knowledge Graph
Tiger Analytics Inc.7 days ago
Remote, United StatesStaff+
Responsibilities
- Lead the end-to-end AI Engineering workstream for the Luma platform.
- Architect, design, build, and deploy enterprise-scale GenAI, RAG, Agentic AI, and AI-powered applications.
- Develop Neo4j Knowledge Graph and GraphRAG solutions.
- 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 and MVPs for customer requirements.
- Deploy AI solutions across AWS, Azure, or GCP.
- Troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
- Serve as the primary technical interface and consultant for enterprise customers.
Requirements
- Highly experienced AI Engineer with hands-on technical leadership experience.
- Mandatory experience with Neo4j and Knowledge Graph solutions.
- Experience with Generative AI, LLMs, RAG, and Agentic AI.
- Experience with Databricks, Spark, and PySpark.
- Application engineering experience with Python or Go.
- Experience with rapid prototyping and POC development.
- Experience with AWS, Azure, or GCP.
- Experience with LLM frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
- Strong problem-solving and debugging skills.
- Self-driven, customer-focused, and comfortable working in ambiguous environments.
- Preferred experience with LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, AWS Bedrock, Azure OpenAI, Docker, Terraform, vLLM, Triton, PyTorch, or Hugging Face.
Benefits
- Remote, full-time position in the United States.
- Significant career development opportunities as the company grows.
- Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment.
- High degree of individual responsibility.
Tech Stack
Categories
Forward Deployed