Software Engineer

Augmodo is building the "operating system for the physical shelf" using spatial computing and wearable AI to provide real-time insights. They are seeking a Software Engineer to manage the logic behind their Spatial Data Ingestion & Conflation Engine, focusing on building pipelines for complex data and ensuring high-quality outputs.

Responsibilities:

• Build Staged Pipelines: Design and maintain versioned data pipelines that handle the ingestion and conflation of complex retail data (e.g., matching computer vision detections to master product catalogs)
• High-Fidelity Output: Ensure that data outputs surfaced to consumer-facing dashboards meet a high quality bar for accuracy and reliability
• Hybrid AI Strategy: Implement a "right tool for the job" approach—building robust rules-based normalization and RegEx logic for bounded tasks, while strategically integrating LLMs to solve high-complexity data matching and entity resolution
• Scale & Cost Management: Architect solutions that are mindful of the massive scale of retail environments, ensuring AI integrations are cost-effective and performant
• Versioned Data Evolution: Manage the lifecycle of data schema and pipeline logic to allow for rapid iteration without breaking downstream consumer insights

Requirements:

• Extensive experience building reliable, staged pipelines for complex ingestion tasks
• You have experience merging disparate, messy data sources into a unified 'Golden Record.'
• You are comfortable with LLMs and prompt engineering but remain skeptical enough to know when a simple regex or bounded heuristic is the better engineering choice
• You believe in versioning everything—from your code to your data schemas
• Experience in retail, logistics, or supply chain (handling SKUs, UPCs, and physical inventory data)
• Experience working with data that has a physical or geographic component (GIS, LIDAR, or Computer Vision metadata)