Forward Deployed AI Engineer -Neo4j / Knowledge Graph
Tiger Analytics Inc.2 months 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
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.