Forward Deployed AI Engineer -Neo4j / Knowledge Graph

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

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.