The Mission: We are building an AI SME platform. We need a senior engineer to own the core application architecture and the data pipelines that power our AI models. You will not just be writing endpoints; you will be designing high-throughput ETL workflows.
The Stack:
- Core: MongoDB, Express, React, Node.js (MERN)
- Data & Auth: Supabase (PostgreSQL)
- Pipelines: Custom ETL workflows, Queues (BullMQ/Redis)
Key Responsibilities:
- Core Architecture: Own the end-to-end development of the web application using the MERN stack.
- ETL Pipelines: Design and build robust ETL pipelines to ingest, process, and store data for AI models. Ensure zero data loss and high availability.
- Supabase Management: Leverage Supabase for real-time subscriptions, authentication, and complex PostgreSQL queries.
- Performance: Optimize database queries and API response times. Latency matters.
Must-Have Skills:
- Backend Heavy: Deep expertise in Node.js (Async patterns, Streams, Buffer management).
- Data Fluency: Proven experience building ETL pipelines. You know how to handle large datasets, retries, and failures gracefully.
- Supabase/SQL: You aren't just a NoSQL dev. You understand relational modeling, Row Level Security (RLS), and Postgres functions within Supabase.
- Frontend Competence: Solid React skills (Hooks, Context, State Management) to build dashboard interfaces for these pipelines.
Nice to Have:
- Experience with Vector Databases (Pinecone, Milvus) or AI/LLM integration.