Teams at Augmodo

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.

Lead end-to-end technical deployments of spatial AI across retail partners, author and maintain program plans spanning CV, hardware, and software, coordinate logistics and on-site setup, break rollouts into metric-driven repeatable processes, and participate in system architecture trade-offs across front-end, back-end, and CV systems.

Build and operate highly available GCP infrastructure for international engineering teams and customer deployments. Manage Kubernetes clusters, automate deployments, develop internal infrastructure tooling, and oversee monitoring, alerting, maintenance, and incident response. Establish async handoffs for continuous global coverage across EU, US, and APAC teams. The role also supports agentic AI and LLM workflows, with opportunities to work on data pipelines and stream-processing architectures.