Wayvia is looking to design, build, and scale backend and AI systems that power their product data intelligence platform, focusing on large-scale data ingestion, enrichment, and multi-LLM orchestration to ensure accuracy and real-time insights across millions of products and retailers.
Requirements
- Strong proficiency in Node.js/TypeScript and Python.
- Hands-on experience with web crawling frameworks (Playwright, ScraperAPI, proxy rotation).
- Practical experience with LLMs, embeddings, or AI pipeline integration.
- Solid knowledge of SQL, Snowflake, or other relational databases.
- Strong problem-solving, debugging, and optimization skills.
- Experience with LLM orchestration frameworks (LangChain, LlamaIndex, or custom pipelines).
- Knowledge of cloud platforms (AWS, GCP, Render, Vercel) for scalable deployment.
Responsibilities
- Design and maintain backend APIs and orchestration services using Node.js/Express and Python.
- Build data pipelines (ETL) to ingest, normalize, and enrich product data from multiple retailer and brand sources.
- Develop multi-LLM orchestration flows for product extraction, validation, and semantic enrichment.
- Implement embedding-based similarity search and semantic layers for product discovery and competitive analysis.
- Create resilient web crawling systems with Playwright, ScraperAPI, and proxy management.
- Collaborate with frontend engineers to deliver APIs and data contracts that power Wayvia dashboards.
- Optimize backend systems for scalability, reliability, and cost efficiency.
Other
- Ability to work in a fast-paced, agile environment and deliver against deadlines.
- Familiarity with Price/Stock monitoring, buy-box detection, or product intelligence systems.
- Exposure to frontend integration (React, Material UI) for API/data contract alignment.
- Flexible work-from-home arrangements
- Local to Irvine, CA with hybrid work options.
