Teams at Afresh

Own complex technical support escalations involving data mapping, forecasts, recommendations, integrations, and data feeds. Conduct root-cause analysis, build SQL and Python tooling, create Databricks and Looker dashboards, develop AI-driven workflows, and measure operational impact. Lead cross-functional initiatives with Engineering, Product, Data, Solutions, and Operations teams. Mentor support engineers, document playbooks, present findings to leadership, and drive systemic improvements that reduce ticket volume, handling time, and escalations.

Lead the architecture, development, and deployment of scalable APIs and backend systems for Afresh’s AI-powered grocery ordering platform. Partner with product, account management, design, and engineering teams to deliver integrated solutions used across thousands of stores. Drive projects from conception through launch, make high-impact architectural decisions, understand complex business dependencies, and mentor junior engineers.

Embed with grocery customers to scope, integrate, and deploy production LLM- and agent-powered systems. Build and harden platform components (knowledge graph/ontology, retrieval, agent frameworks, serving, evals, and observability) so field learnings become reusable tooling. Balance customer-facing implementation with platform engineering to enable scalable, reliable AI in production.