Jobs at Quantanite

Design and deliver client solutions using agentic AI, multi-agent orchestration, RAG pipelines, LLMs, and knowledge graphs. Lead discovery, requirements gathering, BRD and HLD creation, architectural trade-off decisions, client presentations, and coordination across engineering, product, and PMO through implementation. Develop deep expertise in the QiQ contact-center analytics platform and progressively represent Solutions independently in client engagements.

The AI Engineer will design and develop cognitive data solutions using AI technology, manage data pipelines, and lead cross-functional teams to deliver scalable solutions.

Lead end-to-end AI engineering for products and client engagements: define architecture, select stacks/LLMs, build prototypes and POCs, set AI engineering standards, ensure scalable secure deployments, mentor developers, and drive integration and documentation across cloud-native, RAG, and vector-based solutions.

Design and develop AI-based platforms for extracting and managing data from various sources, implementing data pipelines, and collaborating with stakeholders.