Tiger Analytics
Skills: Python, AWS, Docker
Tiger Analytics(https://himalayas.app/companies/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. 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.
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 entrepren…
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