Qdrant Jobs

Embedded Infrastructure Engineers at Sarvam design, build, and maintain the data infrastructure essential for deploying AI systems at client sites. You will collaborate with Embedded Data Scientists and Strategic Deployment Engineers to ensure the reliable and performant ingestion, storage, querying, and serving of terabyte-scale datasets to AI reasoning engines. This involves constructing and managing data platforms capable of handling large volumes of structured records, documents, imagery, audio, and geospatial data, including databases, object stores, ingestion pipelines, and processing layers. You will be responsible for making key decisions regarding storage architecture, indexing strategies, pipeline orchestration, and system performance, often in challenging environments like air-gapped or operationally sensitive settings that preclude the use of standard cloud services or enterprise tooling. Ultimately, you will own the reliability and performance of the infrastructure layer for your assigned accounts.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As a Backend Engineer, you will design and implement the core system infrastructure powering Sarvam's 'atoms', including MCP servers, on-prem deployment tooling, document ingestion pipelines, agentic backends, and API layers. These systems operate in constrained environments, and the architecture decisions you make will have a lasting impact. You will ship real systems and be accountable for their performance in the field.