Software Engineer, Data Intelligence

Augmodo; United States; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Job summary

Augmodo is seeking a Software Engineer to own the logic behind our Spatial Data Ingestion & Conflation Engine. You will build the pipelines that transform raw edge data into high-fidelity insights for customers, with versioned data and production-grade reliability.

You will implement a hybrid AI strategy, combining robust rules-based normalization and RegEx with selective LLMs to tackle high-complexity data matching and entity resolution, ensuring precision at scale while remaining

Qualifications

• Extensive experience building reliable, staged pipelines for complex ingestion tasks.
• Experience merging disparate data sources into a unified Golden Record.
• Familiarity with LLMs and prompt engineering, with judgement to prefer simple heuristics when appropriate.
• Engineering discipline with versioning of code and data schemas.

Responsibilities

• Build Staged Pipelines: design and maintain versioned pipelines for ingestion and conflation of complex data.
• High-Fidelity Output: ensure data outputs meet high quality for dashboards.
• Hybrid AI Strategy: use rules-based normalization and RegEx, plus selective LLM integration for complex matching.
• Scale & Cost Management: architect scalable, cost-effective AI integrations.
• Versioned Data Evolution: manage data schemas and pipeline logic to enable rapid iteration.

Skills

Data pipelines

Entity resolution

Pragmatic AI

Versioning

Job description

About Augmodo

Augmodo is building the "operating system for the physical shelf." We use spatial computing and wearable AI to provide real-time, store-level insights that were previously impossible to capture. We are moving fast, and our data needs to move even faster—while remaining hyper-accurate.

About Augmodo

Augmodo is building the "operating system for the physical shelf." We use spatial computing and wearable AI to provide real-time, store-level insights that were previously impossible to capture. We are moving fast, and our data needs to move even faster—while remaining hyper-accurate.

The Challenge

We are looking for a Software Engineer to own the logic behind our Spatial Data Ingestion & Conflation Engine. You will build the pipelines that take raw, complex data from the edge and transform it into high-fidelity insights for our customers. This role is about precision at scale: ensuring that when a brand or retailer looks at our data, it is versioned, reliable, and "production-ready."

Key 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.

Required Qualifications

• The "Data Plumber" Mindset: Extensive experience building reliable, staged pipelines for complex ingestion tasks.
• Entity Resolution & Conflation: You have experience merging disparate, messy data sources into a unified "Golden Record."
• Pragmatic AI Experience: 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.
• Engineering Rigor: You believe in versioning everything—from your code to your data schemas.

Bonus Points

• Physical Product Domain: Experience in retail, logistics, or supply chain (handling SKUs, UPCs, and physical inventory data).
• Spatial Data: Experience working with data that has a physical or geographic component (GIS, LIDAR, or Computer Vision metadata).

Augmodo offers benefits inclusive of medical, dental, vision and 401k

The salary range for this role is $150,000 - 200,000 USD +equity

Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.