Teams at Lynx Analytics

Lead architecture and delivery of agentic AI systems, own the context layer (memory, GraphRAG, knowledge graphs), build robust RAG and retrieval infrastructure, translate client requirements into technical designs, define reusable agentic patterns, and establish observability and evaluation pipelines for production AI.

Build and maintain agentic AI pipelines, RAG and retrieval systems, integrate vector databases and knowledge graph components, write and test Python code, debug production AI systems, and collaborate with engineers and domain experts to deploy and document AI components.

Design, build, deploy, and operate scalable cloud-native software platforms to support AI and analytics solutions. Implement production-grade Python services, write complex SQL, manage containerized deployments with Docker and Kubernetes, and collaborate with data scientists and cross-functional teams while ensuring compliance and monitoring in major cloud environments.